$ grok -p <prompt>
--- prompt ---
You are competing in AgentpitBench against three other AI agents.
Goal: win. Pick the outcome of this prediction market most likely to pay off.
You have 5 minutes and exactly one bet of 100 tokens.

Market: Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?
Outcomes: Yes / No | prices: Yes 0.250, No 0.750 | closes: 2026-10-10T16:00:00Z

Use `bench --help` to inspect the market. You may research online.
The clock is hard: no bet placed within the 5 minutes forfeits the round. `bench market` shows seconds_left.
Finish with: bench bet --outcome <label> --confidence <0-1> --rationale '<one or two sentences>'
Optional: add --quote '<one line of trash talk for your rivals>' (max 120 chars, no links or @mentions). It goes on your public card.
Use single quotes around --rationale and --quote so "$" amounts survive the shell.

Your record over your last 1 rounds: 0-1, net P&L -93.9.
- Predators vs. Canadiens | you picked Canadiens | winner Predators | lost | P&L -93.9

--- output ---
{"type":"available_commands","tools":["run_terminal_command","read_file","search_replace","list_dir","grep","kill_command_or_subagent","todo_write","get_command_or_subagent_output","spawn_subagent","scheduler_create","scheduler_delete","scheduler_list","monitor","search_tool","use_tool","workflow","enter_plan_mode","exit_plan_mode","ask_user_question","send_feedback","web_search","web_fetch","image_gen","image_edit","image_to_video","reference_to_video","write"],"commands":["compact","always-approve","context","session-info","feedback","deep-research","workflow","goal","loop"]}
{"type":"available_commands","tools":["run_terminal_command","read_file","search_replace","list_dir","grep","kill_command_or_subagent","todo_write","get_command_or_subagent_output","spawn_subagent","scheduler_create","scheduler_delete","scheduler_list","monitor","search_tool","use_tool","workflow","enter_plan_mode","exit_plan_mode","ask_user_question","send_feedback","web_search","web_fetch","image_gen","image_edit","image_to_video","reference_to_video","write"],"commands":["compact","always-approve","context","session-info","feedback","deep-research","workflow","goal","loop"]}
{"type":"thought","data":"I am analyzing the prediction"}
{"type":"thought","data":" market to place a winning"}
{"type":"available_commands","tools":["run_terminal_command","read_file","search_replace","list_dir","grep","kill_command_or_subagent","todo_write","get_command_or_subagent_output","spawn_subagent","scheduler_create","scheduler_delete","scheduler_list","monitor","search_tool","use_tool","workflow","enter_plan_mode","exit_plan_mode","ask_user_question","send_feedback","web_search","web_fetch","image_gen","image_edit","image_to_video","reference_to_video","write"],"commands":["compact","always-approve","context","session-info","feedback","deep-research","workflow","goal","loop","learn-traces"]}
{"type":"available_commands","tools":["run_terminal_command","read_file","search_replace","list_dir","grep","kill_command_or_subagent","todo_write","get_command_or_subagent_output","spawn_subagent","scheduler_create","scheduler_delete","scheduler_list","monitor","search_tool","use_tool","workflow","enter_plan_mode","exit_plan_mode","ask_user_question","send_feedback","web_search","web_fetch","image_gen","image_edit","image_to_video","reference_to_video","write"],"commands":["compact","always-approve","context","session-info","feedback","deep-research","workflow","goal","loop","build-with-ai","code-review","create-skill","create-workflow","design","execute-plan","game-assets","bundled:imagine","implement","learn","long-running-background-tasks","pr-babysit","resume-claude","resume-codex","resume-cursor","review","skill-design-principles","statusline","threejs-frame-conventions","learn-traces"]}
{"type":"thought","data":" bet."}
{"type":"text","data":"I'll"}
{"type":"text","data":" inspect"}
{"type":"text","data":" the"}
{"type":"text","data":" market"}
{"type":"text","data":" clock"}
{"type":"text","data":" and"}
{"type":"text","data":" El"}
{"type":"text","data":"on's"}
{"type":"text","data":" posting"}
{"type":"text","data":" pace"}
{"type":"text","data":","}
{"type":"text","data":" then"}
{"type":"text","data":" place"}
{"type":"text","data":" the"}
{"type":"text","data":" single"}
{"type":"text","data":" "}
{"type":"text","data":"100"}
{"type":"text","data":"-"}
{"type":"text","data":"token"}
{"type":"text","data":" bet"}
{"type":"text","data":" before"}
{"type":"text","data":" time"}
{"type":"text","data":" runs"}
{"type":"text","data":" out"}
{"type":"text","data":"."}
{"type":"available_commands","tools":["run_terminal_command","read_file","search_replace","list_dir","grep","kill_command_or_subagent","todo_write","get_command_or_subagent_output","spawn_subagent","scheduler_create","scheduler_delete","scheduler_list","monitor","search_tool","use_tool","workflow","enter_plan_mode","exit_plan_mode","ask_user_question","send_feedback","web_search","web_fetch","image_gen","image_edit","image_to_video","reference_to_video","write"],"commands":["compact","always-approve","context","session-info","feedback","deep-research","workflow","goal","loop","build-with-ai","code-review","create-skill","create-workflow","design","execute-plan","game-assets","bundled:imagine","implement","learn","long-running-background-tasks","pr-babysit","resume-claude","resume-codex","resume-cursor","review","skill-design-principles","statusline","threejs-frame-conventions","learn-traces"]}
{"type":"usage","usage":{"input_tokens":4335,"output_tokens":246,"cache_read_input_tokens":10240,"cache_creation_input_tokens":0,"reasoning_tokens":189},"signature":"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"}
{"type":"tool_call","toolCallId":"call-6bdb8a09-3cbf-4b8e-aa0e-32ace417e22f-0","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"bench --help && echo \"---\" && bench market","description":"Inspect bench CLI and market status"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-6bdb8a09-3cbf-4b8e-aa0e-32ace417e22f-0","status":null,"content":[{"type":"content","content":{"type":"text","text":"Inspect bench CLI and market status"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-6bdb8a09-3cbf-4b8e-aa0e-32ace417e22f-0","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"bench --help && echo \"---\" && bench market","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-6bdb8a09-3cbf-4b8e-aa0e-32ace417e22f-0","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"usage: bench [-h] {market,book,history,bet} ...\n\nInspect the market and place your one bet.\n\npositional arguments:\n  {market,book,history,bet}\n    market              Market snapshot: question, description, outcomes,\n                        prices, end date\n    book                Order book for one outcome\n    history             Price history for the market\n    bet                 Place your one 100-token bet. Works once.\n\noptions:\n  -h, --help            show this help message and exit\n---\n{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.75\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 295\n}\n"}}],"rawOutput":{"type":"Bash","output":[117,115,97,103,101,58,32,98,101,110,99,104,32,91,45,104,93,32,123,109,97,114,107,101,116,44,98,111,111,107,44,104,105,115,116,111,114,121,44,98,101,116,125,32,46,46,46,10,10,73,110,115,112,101,99,116,32,116,104,101,32,109,97,114,107,101,116,32,97,110,100,32,112,108,97,99,101,32,121,111,117,114,32,111,110,101,32,98,101,116,46,10,10,112,111,115,105,116,105,111,110,97,108,32,97,114,103,117,109,101,110,116,115,58,10,32,32,123,109,97,114,107,101,116,44,98,111,111,107,44,104,105,115,116,111,114,121,44,98,101,116,125,10,32,32,32,32,109,97,114,107,101,116,32,32,32,32,32,32,32,32,32,32,32,32,32,32,77,97,114,107,101,116,32,115,110,97,112,115,104,111,116,58,32,113,117,101,115,116,105,111,110,44,32,100,101,115,99,114,105,112,116,105,111,110,44,32,111,117,116,99,111,109,101,115,44,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,112,114,105,99,101,115,44,32,101,110,100,32,100,97,116,101,10,32,32,32,32,98,111,111,107,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,79,114,100,101,114,32,98,111,111,107,32,102,111,114,32,111,110,101,32,111,117,116,99,111,109,101,10,32,32,32,32,104,105,115,116,111,114,121,32,32,32,32,32,32,32,32,32,32,32,32,32,80,114,105,99,101,32,104,105,115,116,111,114,121,32,102,111,114,32,116,104,101,32,109,97,114,107,101,116,10,32,32,32,32,98,101,116,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,80,108,97,99,101,32,121,111,117,114,32,111,110,101,32,49,48,48,45,116,111,107,101,110,32,98,101,116,46,32,87,111,114,107,115,32,111,110,99,101,46,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,45,45,45,10,123,10,32,32,34,113,117,101,115,116,105,111,110,34,58,32,34,87,105,108,108,32,69,108,111,110,32,77,117,115,107,32,112,111,115,116,32,54,53,45,56,57,32,116,119,101,101,116,115,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,34,44,10,32,32,34,100,101,115,99,114,105,112,116,105,111,110,34,58,32,34,84,104,105,115,32,109,97,114,107,101,116,32,119,105,108,108,32,114,101,115,111,108,118,101,32,97,99,99,111,114,100,105,110,103,32,116,111,32,116,104,101,32,110,117,109,98,101,114,32,111,102,32,116,105,109,101,115,32,69,108,111,110,32,77,117,115,107,32,40,64,101,108,111,110,109,117,115,107,41,44,32,112,111,115,116,115,32,111,110,32,88,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,49,50,58,48,48,32,80,77,32,69,84,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,32,49,50,58,48,48,32,80,77,32,69,84,46,92,110,92,110,70,111,114,32,116,104,101,32,112,117,114,112,111,115,101,115,32,111,102,32,116,104,105,115,32,109,97,114,107,101,116,44,32,111,110,108,121,32,109,97,105,110,32,102,101,101,100,32,112,111,115,116,115,44,32,113,117,111,116,101,32,112,111,115,116,115,32,97,110,100,32,114,101,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,46,92,110,92,110,82,101,112,108,105,101,115,32,119,105,108,108,32,78,79,84,32,99,111,117,110,116,32,116,111,119,97,114,100,115,32,116,104,101,32,116,111,116,97,108,32,45,32,104,111,119,101,118,101,114,44,32,114,101,112,108,105,101,115,32,111,110,32,116,104,101,32,109,97,105,110,32,102,101,101,100,32,115,117,99,104,32,97,115,32,104,116,116,112,115,58,47,47,120,46,99,111,109,47,101,108,111,110,109,117,115,107,47,115,116,97,116,117,115,47,49,55,56,54,48,55,51,52,55,56,55,49,49,51,53,51,53,55,54,32,119,105,108,108,32,98,101,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,46,92,110,92,110,68,101,108,101,116,101,100,32,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,32,97,115,32,108,111,110,103,32,97,115,32,116,104,101,121,32,114,101,109,97,105,110,32,97,118,97,105,108,97,98,108,101,32,108,111,110,103,32,101,110,111,117,103,104,32,116,111,32,98,101,32,99,97,112,116,117,114,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,40,126,53,32,109,105,110,117,116,101,115,41,46,92,110,92,110,67,111,109,109,117,110,105,116,121,32,114,101,112,111,115,116,115,32,119,104,105,99,104,32,97,114,101,32,110,111,116,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,110,111,116,32,99,111,117,110,116,32,116,111,119,97,114,100,32,116,104,101,32,116,111,116,97,108,46,92,110,92,110,84,104,101,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,32,102,111,114,32,116,104,105,115,32,109,97,114,107,101,116,32,105,115,32,116,104,101,32,39,80,111,115,116,32,67,111,117,110,116,101,114,39,32,102,105,103,117,114,101,32,102,111,114,32,112,111,115,116,115,32,102,111,117,110,100,32,97,116,32,104,116,116,112,115,58,47,47,120,116,114,97,99,107,101,114,46,112,111,108,121,109,97,114,107,101,116,46,99,111,109,46,32,73,110,100,105,118,105,100,117,97,108,32,112,111,115,116,115,32,99,97,110,32,98,101,32,118,105,101,119,101,100,32,98,121,32,99,108,105,99,10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bench [-h] {market,book,history,bet} ...\n\nInspect the market and place your one bet.\n\npositional arguments:\n  {market,book,history,bet}\n    market              Market snapshot: question, description, outcomes,\n                        prices, end date\n    book                Order book for one outcome\n    history             Price history for the market\n    bet                 Place your one 100-token bet. Works once.\n\noptions:\n  -h, --help            show this help message and exit\n---\n{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.75\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 295\n}\n","exit_code":0,"command":"bench --help && echo \"---\" && bench market","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":1732},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-6bdb8a09-3cbf-4b8e-aa0e-32ace417e22f-0","status":"completed","content":[{"type":"content","content":{"type":"text","text":"usage: bench [-h] {market,book,history,bet} ...\n\nInspect the market and place your one bet.\n\npositional arguments:\n  {market,book,history,bet}\n    market              Market snapshot: question, description, outcomes,\n                        prices, end date\n    book                Order book for one outcome\n    history             Price history for the market\n    bet                 Place your one 100-token bet. Works once.\n\noptions:\n  -h, --help            show this help message and exit\n---\n{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.75\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 295\n}\n"}}],"rawOutput":{"type":"Bash","output":[117,115,97,103,101,58,32,98,101,110,99,104,32,91,45,104,93,32,123,109,97,114,107,101,116,44,98,111,111,107,44,104,105,115,116,111,114,121,44,98,101,116,125,32,46,46,46,10,10,73,110,115,112,101,99,116,32,116,104,101,32,109,97,114,107,101,116,32,97,110,100,32,112,108,97,99,101,32,121,111,117,114,32,111,110,101,32,98,101,116,46,10,10,112,111,115,105,116,105,111,110,97,108,32,97,114,103,117,109,101,110,116,115,58,10,32,32,123,109,97,114,107,101,116,44,98,111,111,107,44,104,105,115,116,111,114,121,44,98,101,116,125,10,32,32,32,32,109,97,114,107,101,116,32,32,32,32,32,32,32,32,32,32,32,32,32,32,77,97,114,107,101,116,32,115,110,97,112,115,104,111,116,58,32,113,117,101,115,116,105,111,110,44,32,100,101,115,99,114,105,112,116,105,111,110,44,32,111,117,116,99,111,109,101,115,44,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,112,114,105,99,101,115,44,32,101,110,100,32,100,97,116,101,10,32,32,32,32,98,111,111,107,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,79,114,100,101,114,32,98,111,111,107,32,102,111,114,32,111,110,101,32,111,117,116,99,111,109,101,10,32,32,32,32,104,105,115,116,111,114,121,32,32,32,32,32,32,32,32,32,32,32,32,32,80,114,105,99,101,32,104,105,115,116,111,114,121,32,102,111,114,32,116,104,101,32,109,97,114,107,101,116,10,32,32,32,32,98,101,116,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,80,108,97,99,101,32,121,111,117,114,32,111,110,101,32,49,48,48,45,116,111,107,101,110,32,98,101,116,46,32,87,111,114,107,115,32,111,110,99,101,46,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,45,45,45,10,123,10,32,32,34,113,117,101,115,116,105,111,110,34,58,32,34,87,105,108,108,32,69,108,111,110,32,77,117,115,107,32,112,111,115,116,32,54,53,45,56,57,32,116,119,101,101,116,115,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,34,44,10,32,32,34,100,101,115,99,114,105,112,116,105,111,110,34,58,32,34,84,104,105,115,32,109,97,114,107,101,116,32,119,105,108,108,32,114,101,115,111,108,118,101,32,97,99,99,111,114,100,105,110,103,32,116,111,32,116,104,101,32,110,117,109,98,101,114,32,111,102,32,116,105,109,101,115,32,69,108,111,110,32,77,117,115,107,32,40,64,101,108,111,110,109,117,115,107,41,44,32,112,111,115,116,115,32,111,110,32,88,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,49,50,58,48,48,32,80,77,32,69,84,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,32,49,50,58,48,48,32,80,77,32,69,84,46,92,110,92,110,70,111,114,32,116,104,101,32,112,117,114,112,111,115,101,115,32,111,102,32,116,104,105,115,32,109,97,114,107,101,116,44,32,111,110,108,121,32,109,97,105,110,32,102,101,101,100,32,112,111,115,116,115,44,32,113,117,111,116,101,32,112,111,115,116,115,32,97,110,100,32,114,101,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,46,92,110,92,110,82,101,112,108,105,101,115,32,119,105,108,108,32,78,79,84,32,99,111,117,110,116,32,116,111,119,97,114,100,115,32,116,104,101,32,116,111,116,97,108,32,45,32,104,111,119,101,118,101,114,44,32,114,101,112,108,105,101,115,32,111,110,32,116,104,101,32,109,97,105,110,32,102,101,101,100,32,115,117,99,104,32,97,115,32,104,116,116,112,115,58,47,47,120,46,99,111,109,47,101,108,111,110,109,117,115,107,47,115,116,97,116,117,115,47,49,55,56,54,48,55,51,52,55,56,55,49,49,51,53,51,53,55,54,32,119,105,108,108,32,98,101,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,46,92,110,92,110,68,101,108,101,116,101,100,32,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,32,97,115,32,108,111,110,103,32,97,115,32,116,104,101,121,32,114,101,109,97,105,110,32,97,118,97,105,108,97,98,108,101,32,108,111,110,103,32,101,110,111,117,103,104,32,116,111,32,98,101,32,99,97,112,116,117,114,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,40,126,53,32,109,105,110,117,116,101,115,41,46,92,110,92,110,67,111,109,109,117,110,105,116,121,32,114,101,112,111,115,116,115,32,119,104,105,99,104,32,97,114,101,32,110,111,116,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,110,111,116,32,99,111,117,110,116,32,116,111,119,97,114,100,32,116,104,101,32,116,111,116,97,108,46,92,110,92,110,84,104,101,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,32,102,111,114,32,116,104,105,115,32,109,97,114,107,101,116,32,105,115,32,116,104,101,32,39,80,111,115,116,32,67,111,117,110,116,101,114,39,32,102,105,103,117,114,101,32,102,111,114,32,112,111,115,116,115,32,102,111,117,110,100,32,97,116,32,104,116,116,112,115,58,47,47,120,116,114,97,99,107,101,114,46,112,111,108,121,109,97,114,107,101,116,46,99,111,109,46,32,73,110,100,105,118,105,100,117,97,108,32,112,111,115,116,115,32,99,97,110,32,98,101,32,118,105,101,119,101,100,32,98,121,32,99,108,105,99,10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0\nusage: bench [-h] {market,book,history,bet} ...\n\nInspect the market and place your one bet.\n\npositional arguments:\n  {market,book,history,bet}\n    market              Market snapshot: question, description, outcomes,\n                        prices, end date\n    book                Order book for one outcome\n    history             Price history for the market\n    bet                 Place your one 100-token bet. Works once.\n\noptions:\n  -h, --help            show this help message and exit\n---\n{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.75\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 295\n}\n","exit_code":0,"command":"bench --help && echo \"---\" && bench market","truncated":false,"signal":null,"timed_out":false,"description":"Inspect bench CLI and market status","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-6bdb8a09-3cbf-4b8e-aa0e-32ace417e22f-0.log","total_bytes":1732},"locations":[]}
{"type":"thought","data":"I need to research Elon"}
{"type":"thought","data":" Musk's tweet count "}
{"type":"thought","data":"from October 8 to October"}
{"type":"thought","data":" 10, 2026."}
{"type":"text","data":"The"}
{"type":"text","data":" window"}
{"type":"text","data":" is"}
{"type":"text","data":" still"}
{"type":"text","data":" open"}
{"type":"text","data":","}
{"type":"text","data":" so"}
{"type":"text","data":" I’ll"}
{"type":"text","data":" pull"}
{"type":"text","data":" the"}
{"type":"text","data":" live"}
{"type":"text","data":" post"}
{"type":"text","data":" counter"}
{"type":"text","data":" and"}
{"type":"text","data":" El"}
{"type":"text","data":"on’s"}
{"type":"text","data":" recent"}
{"type":"text","data":" pace"}
{"type":"text","data":" before"}
{"type":"text","data":" choosing"}
{"type":"text","data":" Yes"}
{"type":"text","data":" or"}
{"type":"text","data":" No"}
{"type":"text","data":"."}
{"type":"tool_call","toolCallId":"ws_d3f64012-3e1f-974b-86dc-79509d67c259_call-02cc2c07-a154-4f84-ba36-dce95d818cd1-2","title":"Web search:","kind":"search","status":"in_progress","toolName":"Web search:","rawInput":{"variant":"WebSearch","backend":true},"content":[],"locations":[]}
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"}
{"type":"tool_call","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-1","title":"web_fetch","kind":"web_fetch","status":"pending","toolName":"web_fetch","rawInput":{"url":"https://xtracker.polymarket.com"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-1","status":null,"content":[],"rawOutput":null,"locations":[]}
{"type":"tool_call","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-3","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"bench book --help; echo \"---HISTORY---\"; bench history --help; echo \"---BET---\"; bench bet --help","description":"Inspect book, history, and bet commands"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-3","status":null,"content":[{"type":"content","content":{"type":"text","text":"Inspect book, history, and bet commands"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-3","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"bench book --help; echo \"---HISTORY---\"; bench history --help; echo \"---BET---\"; bench bet --help","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-3","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"usage: bench book [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---HISTORY---\nusage: bench history [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---BET---\nusage: bench bet [-h] --outcome OUTCOME --rationale RATIONALE --confidence\n                 CONFIDENCE [--max-price MAX_PRICE] [--quote QUOTE]\n\noptions:\n  -h, --help            show this help message and exit\n  --outcome OUTCOME\n  --rationale RATIONALE\n  --confidence CONFIDENCE\n                        0 to 1\n  --max-price MAX_PRICE\n                        worst price you accept (default: best ask + 0.05)\n  --quote QUOTE         optional one-line trash talk for your rivals, shown on\n                        your card (max 120 chars, no links)\n"}}],"rawOutput":{"type":"Bash","output":[117,115,97,103,101,58,32,98,101,110,99,104,32,98,111,111,107,32,91,45,104,93,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,32,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,45,45,45,72,73,83,84,79,82,89,45,45,45,10,117,115,97,103,101,58,32,98,101,110,99,104,32,104,105,115,116,111,114,121,32,91,45,104,93,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,32,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,45,45,45,66,69,84,45,45,45,10,117,115,97,103,101,58,32,98,101,110,99,104,32,98,101,116,32,91,45,104,93,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,32,45,45,114,97,116,105,111,110,97,108,101,32,82,65,84,73,79,78,65,76,69,32,45,45,99,111,110,102,105,100,101,110,99,101,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,67,79,78,70,73,68,69,78,67,69,32,91,45,45,109,97,120,45,112,114,105,99,101,32,77,65,88,95,80,82,73,67,69,93,32,91,45,45,113,117,111,116,101,32,81,85,79,84,69,93,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,32,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,32,32,45,45,114,97,116,105,111,110,97,108,101,32,82,65,84,73,79,78,65,76,69,10,32,32,45,45,99,111,110,102,105,100,101,110,99,101,32,67,79,78,70,73,68,69,78,67,69,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,48,32,116,111,32,49,10,32,32,45,45,109,97,120,45,112,114,105,99,101,32,77,65,88,95,80,82,73,67,69,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,119,111,114,115,116,32,112,114,105,99,101,32,121,111,117,32,97,99,99,101,112,116,32,40,100,101,102,97,117,108,116,58,32,98,101,115,116,32,97,115,107,32,43,32,48,46,48,53,41,10,32,32,45,45,113,117,111,116,101,32,81,85,79,84,69,32,32,32,32,32,32,32,32,32,111,112,116,105,111,110,97,108,32,111,110,101,45,108,105,110,101,32,116,114,97,115,104,32,116,97,108,107,32,102,111,114,32,121,111,117,114,32,114,105,118,97,108,115,44,32,115,104,111,119,110,32,111,110,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,121,111,117,114,32,99,97,114,100,32,40,109,97,120,32,49,50,48,32,99,104,97,114,115,44,32,110,111,32,108,105,110,107,115,41,10],"output_for_prompt":"usage: bench book [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---HISTORY---\nusage: bench history [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---BET---\nusage: bench bet [-h] --outcome OUTCOME --rationale RATIONALE --confidence\n                 CONFIDENCE [--max-price MAX_PRICE] [--quote QUOTE]\n\noptions:\n  -h, --help            show this help message and exit\n  --outcome OUTCOME\n  --rationale RATIONALE\n  --confidence CONFIDENCE\n                        0 to 1\n  --max-price MAX_PRICE\n                        worst price you accept (default: best ask + 0.05)\n  --quote QUOTE         optional one-line trash talk for your rivals, shown on\n                        your card (max 120 chars, no links)\n","exit_code":0,"command":"bench book --help; echo \"---HISTORY---\"; bench history --help; echo \"---BET---\"; bench bet --help","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":822},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-3","status":"completed","content":[{"type":"content","content":{"type":"text","text":"usage: bench book [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---HISTORY---\nusage: bench history [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---BET---\nusage: bench bet [-h] --outcome OUTCOME --rationale RATIONALE --confidence\n                 CONFIDENCE [--max-price MAX_PRICE] [--quote QUOTE]\n\noptions:\n  -h, --help            show this help message and exit\n  --outcome OUTCOME\n  --rationale RATIONALE\n  --confidence CONFIDENCE\n                        0 to 1\n  --max-price MAX_PRICE\n                        worst price you accept (default: best ask + 0.05)\n  --quote QUOTE         optional one-line trash talk for your rivals, shown on\n                        your card (max 120 chars, no links)\n"}}],"rawOutput":{"type":"Bash","output":[117,115,97,103,101,58,32,98,101,110,99,104,32,98,111,111,107,32,91,45,104,93,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,32,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,45,45,45,72,73,83,84,79,82,89,45,45,45,10,117,115,97,103,101,58,32,98,101,110,99,104,32,104,105,115,116,111,114,121,32,91,45,104,93,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,32,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,45,45,45,66,69,84,45,45,45,10,117,115,97,103,101,58,32,98,101,110,99,104,32,98,101,116,32,91,45,104,93,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,32,45,45,114,97,116,105,111,110,97,108,101,32,82,65,84,73,79,78,65,76,69,32,45,45,99,111,110,102,105,100,101,110,99,101,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,67,79,78,70,73,68,69,78,67,69,32,91,45,45,109,97,120,45,112,114,105,99,101,32,77,65,88,95,80,82,73,67,69,93,32,91,45,45,113,117,111,116,101,32,81,85,79,84,69,93,10,10,111,112,116,105,111,110,115,58,10,32,32,45,104,44,32,45,45,104,101,108,112,32,32,32,32,32,32,32,32,32,32,32,32,115,104,111,119,32,116,104,105,115,32,104,101,108,112,32,109,101,115,115,97,103,101,32,97,110,100,32,101,120,105,116,10,32,32,45,45,111,117,116,99,111,109,101,32,79,85,84,67,79,77,69,10,32,32,45,45,114,97,116,105,111,110,97,108,101,32,82,65,84,73,79,78,65,76,69,10,32,32,45,45,99,111,110,102,105,100,101,110,99,101,32,67,79,78,70,73,68,69,78,67,69,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,48,32,116,111,32,49,10,32,32,45,45,109,97,120,45,112,114,105,99,101,32,77,65,88,95,80,82,73,67,69,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,119,111,114,115,116,32,112,114,105,99,101,32,121,111,117,32,97,99,99,101,112,116,32,40,100,101,102,97,117,108,116,58,32,98,101,115,116,32,97,115,107,32,43,32,48,46,48,53,41,10,32,32,45,45,113,117,111,116,101,32,81,85,79,84,69,32,32,32,32,32,32,32,32,32,111,112,116,105,111,110,97,108,32,111,110,101,45,108,105,110,101,32,116,114,97,115,104,32,116,97,108,107,32,102,111,114,32,121,111,117,114,32,114,105,118,97,108,115,44,32,115,104,111,119,110,32,111,110,10,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,121,111,117,114,32,99,97,114,100,32,40,109,97,120,32,49,50,48,32,99,104,97,114,115,44,32,110,111,32,108,105,110,107,115,41,10],"output_for_prompt":"exit: 0\nusage: bench book [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---HISTORY---\nusage: bench history [-h] --outcome OUTCOME\n\noptions:\n  -h, --help         show this help message and exit\n  --outcome OUTCOME\n---BET---\nusage: bench bet [-h] --outcome OUTCOME --rationale RATIONALE --confidence\n                 CONFIDENCE [--max-price MAX_PRICE] [--quote QUOTE]\n\noptions:\n  -h, --help            show this help message and exit\n  --outcome OUTCOME\n  --rationale RATIONALE\n  --confidence CONFIDENCE\n                        0 to 1\n  --max-price MAX_PRICE\n                        worst price you accept (default: best ask + 0.05)\n  --quote QUOTE         optional one-line trash talk for your rivals, shown on\n                        your card (max 120 chars, no links)\n","exit_code":0,"command":"bench book --help; 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{"type":"tool_call_update","toolCallId":"call-02cc2c07-a154-4f84-ba36-dce95d818cd1-1","status":"completed","content":[{"type":"content","content":{"type":"text","text":"XTracker - Social Media Analytics\n\nLoading users..."}}],"rawOutput":{"type":"WebFetch","Content":{"url":"https://xtracker.polymarket.com/","content":"XTracker - Social Media Analytics\n\nLoading users...","content_type":"markdown","status_code":200,"bytes":51}},"locations":[]}
{"type":"thought","data":"The xtracker page is"}
{"type":"thought","data":" JavaScript-rendered."}
{"type":"thought","data":"\n\nThe search shows 61"}
{"type":"thought","data":" tweets at a 61-per-day"}
{"type":"thought","data":" pace. That suggests"}
{"type":"thought","data":" roughly one day has"}
{"type":"thought","data":" elapsed since the window"}
{"type":"thought","data":" opened at 12:00 PM "}
{"type":"thought","data":"ET on October 8. The"}
{"type":"thought","data":" current UTC time is"}
{"type":"thought","data":" needed to gauge remaining"}
{"type":"thought","data":" time."}
{"type":"thought","data":"\n\nThe 65-89 outcome "}
{"type":"thought","data":"is priced at 25%. The"}
{"type":"thought","data":" polym.trade market "}
{"type":"thought","data":"shows 90-114 at 52%,"}
{"type":"thought","data":" making that range the"}
{"type":"thought","data":" most likely total. "}
{"type":"thought","data":"At the current pace,"}
{"type":"thought","data":" the projected count"}
{"type":"thought","data":" would land in the 90-114"}
{"type":"thought","data":" bracket."}
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{"type":"tool_call_update","toolCallId":"ws_6e31a548-85fd-98e9-a68e-889bd5ae32c6_call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-4","status":"completed","content":[],"rawOutput":{"action":{"type":"search","query":"xtracker.polymarket.com elon musk October 8 October 10 2026 post counter API","sources":[{"type":"url","url":"https://yield3.app/markets/elon-musk-of-tweets-october-2-october-9-2026-80-99"},{"type":"url","url":"https://xtracker.polymarket.com/?platform=TRUTH_SOCIAL"},{"type":"url","url":"https://polymart.app/blog/elon-musk-tweet-count-api"},{"type":"url","url":"https://example.polylerts.com/elon-musk-of-tweets-october-6-october-13-2026"},{"type":"url","url":"https://www.lines.com/prediction-markets/politics/elon-musk-of-tweets-october-8-october-10-2026"},{"type":"url","url":"https://www.ainvest.com/news/musk-tweet-market-prices-200-post-week-board-prices-40-wrong-friday-2610/"},{"type":"url","url":"https://xtracker.polymarket.com/docs"},{"type":"url","url":"https://thecryptocurrencypost.net/prediction-markets/elon-musk-of-tweets-october-2-october-9-2026/"},{"type":"url","url":"https://github.com/sigma-quantiphi/polymarket-pandas/blob/main/examples/xtracker_overview.py"},{"type":"url","url":"https://www.ainvest.com/news/decoding-polymarket-musk-tweet-count-liquidity-rules-quiet-resolution-2610/"}]},"id":"ws_6e31a548-85fd-98e9-a68e-889bd5ae32c6_call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-4","status":"completed"},"locations":[]}
{"type":"tool_call","toolCallId":"ws_6e31a548-85fd-98e9-a68e-889bd5ae32c6_call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-5","title":"Web search:","kind":"search","status":"in_progress","toolName":"Web search:","rawInput":{"variant":"WebSearch","backend":true},"content":[],"locations":[]}
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{"type":"tool_call_update","toolCallId":"call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-6","status":null,"content":[{"type":"content","content":{"type":"text","text":"Get current UTC and ET time"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-6","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"date -u; date; TZ=America/New_York date","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-6","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"Fri Oct  9 03:26:40 PM UTC 2026\nFri Oct  9 04:26:40 PM WEST 2026\nFri Oct  9 11:26:40 AM EDT 2026\n"}}],"rawOutput":{"type":"Bash","output":[70,114,105,32,79,99,116,32,32,57,32,48,51,58,50,54,58,52,48,32,80,77,32,85,84,67,32,50,48,50,54,10,70,114,105,32,79,99,116,32,32,57,32,48,52,58,50,54,58,52,48,32,80,77,32,87,69,83,84,32,50,48,50,54,10,70,114,105,32,79,99,116,32,32,57,32,49,49,58,50,54,58,52,48,32,65,77,32,69,68,84,32,50,48,50,54,10],"output_for_prompt":"Fri Oct  9 03:26:40 PM UTC 2026\nFri Oct  9 04:26:40 PM WEST 2026\nFri Oct  9 11:26:40 AM EDT 2026\n","exit_code":0,"command":"date -u; date; TZ=America/New_York date","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":97},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-6","status":"completed","content":[{"type":"content","content":{"type":"text","text":"Fri Oct  9 03:26:40 PM UTC 2026\nFri Oct  9 04:26:40 PM WEST 2026\nFri Oct  9 11:26:40 AM EDT 2026\n"}}],"rawOutput":{"type":"Bash","output":[70,114,105,32,79,99,116,32,32,57,32,48,51,58,50,54,58,52,48,32,80,77,32,85,84,67,32,50,48,50,54,10,70,114,105,32,79,99,116,32,32,57,32,48,52,58,50,54,58,52,48,32,80,77,32,87,69,83,84,32,50,48,50,54,10,70,114,105,32,79,99,116,32,32,57,32,49,49,58,50,54,58,52,48,32,65,77,32,69,68,84,32,50,48,50,54,10],"output_for_prompt":"exit: 0\nFri Oct  9 03:26:40 PM UTC 2026\nFri Oct  9 04:26:40 PM WEST 2026\nFri Oct  9 11:26:40 AM EDT 2026\n","exit_code":0,"command":"date -u; date; TZ=America/New_York date","truncated":false,"signal":null,"timed_out":false,"description":"Get current UTC and ET time","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-4cce1d31-bbb9-4d88-b4a6-18232a6bb39f-6.log","total_bytes":97},"locations":[]}
{"type":"thought","data":"The current time is "}
{"type":"thought","data":"Friday, October 9, 2026,"}
{"type":"thought","data":" at 11:26 AM EDT."}
{"type":"text","data":"The"}
{"type":"text","data":" window"}
{"type":"text","data":" is"}
{"type":"text","data":" about"}
{"type":"text","data":" halfway"}
{"type":"text","data":" done"}
{"type":"text","data":"."}
{"type":"text","data":" I’ll"}
{"type":"text","data":" pull"}
{"type":"text","data":" the"}
{"type":"text","data":" live"}
{"type":"text","data":" tracker"}
{"type":"text","data":" count"}
{"type":"text","data":" for"}
{"type":"text","data":" Oct"}
{"type":"text","data":" "}
{"type":"text","data":"8"}
{"type":"text","data":"–"}
{"type":"text","data":"10"}
{"type":"text","data":" so"}
{"type":"text","data":" the"}
{"type":"text","data":" bet"}
{"type":"text","data":" matches"}
{"type":"text","data":" the"}
{"type":"text","data":" actual"}
{"type":"text","data":" pace"}
{"type":"text","data":"."}
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{"type":"usage","usage":{"input_tokens":8676,"output_tokens":653,"cache_read_input_tokens":23168,"cache_creation_input_tokens":0,"reasoning_tokens":166},"signature":"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"}
{"type":"tool_call","toolCallId":"call-c699615f-1ddf-42d8-9b52-4504dde109d3-7","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk?platform=X\" | head -c 8000; echo; echo \"==== TRACKINGS ====\"; curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/trackings?platform=X&includeStats=true\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\ndata=d.get('data', d)\nif isinstance(data, dict):\n    data=data.get('trackings', data.get('items', [data]))\nprint(type(data), len(data) if hasattr(data,'__len__') else data)\n# print keys\nif isinstance(data, list) and data:\n    print(data[0].keys() if isinstance(data[0], dict) else data[0])\n    for t in data:\n        title=t.get('title') or t.get('name') or ''\n        sd=t.get('startDate','')\n        ed=t.get('endDate','')\n        stats=t.get('stats') or {}\n        total=stats.get('total') if isinstance(stats, dict) else None\n        print('---')\n        print('title:', title)\n        print('start:', sd, 'end:', ed, 'active:', t.get('isActive'), 'total:', total)\n        if isinstance(stats, dict):\n            print('stats keys', list(stats.keys())[:30])\n            # print compact stats without huge daily\n            compact={k:v for k,v in stats.items() if k!='daily' and k!='posts'}\n            print(json.dumps(compact)[:1500])\n            daily=stats.get('daily')\n            if daily:\n                print('daily len', len(daily) if hasattr(daily,'__len__') else type(daily))\n                print(json.dumps(daily)[:2000])\n\"\n","description":"Fetch Elon xtracker user and tracking stats"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c699615f-1ddf-42d8-9b52-4504dde109d3-7","status":null,"content":[{"type":"content","content":{"type":"text","text":"Fetch Elon xtracker user and tracking stats"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c699615f-1ddf-42d8-9b52-4504dde109d3-7","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk?platform=X\" | head -c 8000; echo; echo \"==== TRACKINGS ====\"; curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/trackings?platform=X&includeStats=true\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\ndata=d.get('data', d)\nif isinstance(data, dict):\n    data=data.get('trackings', data.get('items', [data]))\nprint(type(data), len(data) if hasattr(data,'__len__') else data)\n# print keys\nif isinstance(data, list) and data:\n    print(data[0].keys() if isinstance(data[0], dict) else data[0])\n    for t in data:\n        title=t.get('title') or t.get('name') or ''\n        sd=t.get('startDate','')\n        ed=t.get('endDate','')\n        stats=t.get('stats') or {}\n        total=stats.get('total') if isinstance(stats, dict) else None\n        print('---')\n        print('title:', title)\n        print('start:', sd, 'end:', ed, 'active:', t.get('isActive'), 'total:', total)\n        if isinstance(stats, dict):\n            print('stats keys', list(stats.keys())[:30])\n            # print compact stats without huge daily\n            compact={k:v for k,v in stats.items() if k!='daily' and k!='posts'}\n            print(json.dumps(compact)[:1500])\n            daily=stats.get('daily')\n            if daily:\n                print('daily len', len(daily) if hasattr(daily,'__len__') else type(daily))\n                print(json.dumps(daily)[:2000])\n\"\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c699615f-1ddf-42d8-9b52-4504dde109d3-7","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"{\"success\":true,\"data\":{\"id\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"handle\":\"elonmusk\",\"name\":\"Elon Musk\",\"platform\":\"X\",\"platformId\":\"44196397\",\"avatarUrl\":\"https://pbs.twimg.com/profile_images/1983681414370619392/oTT3nm5Z_normal.jpg\",\"bio\":\"\",\"verified\":false,\"lastSync\":\"2026-10-09T15:25:30.242Z\",\"lastSyncError\":null,\"createdAt\":\"2025-11-18T16:43:48.609Z\",\"updatedAt\":\"2026-10-09T15:25:30.243Z\",\"trackings\":[{\"id\":\"183475ce-0cd8-46ba-9b4c-ed53187f4bd2\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets in October 2026?\",\"startDate\":\"2026-10-01T04:00:00.000Z\",\"endDate\":\"2026-11-01T03:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-08-24T04:00:10.611Z\",\"updatedAt\":\"2026-08-24T04:00:10.611Z\"},{\"id\":\"cfff4aad-56c6-4841-bc2f-d51e910bec08\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 9 - October 16, 2026?\",\"startDate\":\"2026-10-09T16:00:00.000Z\",\"endDate\":\"2026-10-16T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-9-october-16-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-06T04:00:07.187Z\",\"updatedAt\":\"2026-10-06T04:00:07.187Z\"},{\"id\":\"5cbbf9c6-b545-4a05-8a10-84887f449662\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 6 - October 13, 2026?\",\"startDate\":\"2026-10-06T16:00:00.000Z\",\"endDate\":\"2026-10-13T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-6-october-13-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-03T04:00:07.575Z\",\"updatedAt\":\"2026-10-03T04:00:07.575Z\"},{\"id\":\"31f680e4-cc88-494a-a2ed-d186c90dfd2e\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 10 - October 12, 2026?\",\"startDate\":\"2026-10-10T16:00:00.000Z\",\"endDate\":\"2026-10-12T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-10-october-12-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-08T16:07:05.173Z\",\"updatedAt\":\"2026-10-08T16:07:05.173Z\"},{\"id\":\"97b128a4-e033-44d7-afd1-039106cf74f2\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 8 - October 10, 2026?\",\"startDate\":\"2026-10-08T16:00:00.000Z\",\"endDate\":\"2026-10-10T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-8-october-10-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-05T16:07:04.131Z\",\"updatedAt\":\"2026-10-05T16:07:04.131Z\"},{\"id\":\"a0c5d2b5-2528-41d8-b310-f2ce5aa44d70\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 2 - October 9, 2026?\",\"startDate\":\"2026-10-02T16:00:00.000Z\",\"endDate\":\"2026-10-09T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-2-october-9-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-29T04:00:06.586Z\",\"updatedAt\":\"2026-09-29T04:00:06.586Z\"},{\"id\":\"cb07c75c-9df6-40b0-8672-b16db69e4568\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 5 - October 7, 2026?\",\"startDate\":\"2026-10-05T16:00:00.000Z\",\"endDate\":\"2026-10-07T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-5-october-7-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-03T16:07:06.467Z\",\"updatedAt\":\"2026-10-07T16:00:26.882Z\"},{\"id\":\"b3d99c88-1249-44e0-bfcc-e49edbc9b764\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 29 - October 6, 2026?\",\"startDate\":\"2026-09-29T16:00:00.000Z\",\"endDate\":\"2026-10-06T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-29-october-6-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-26T04:00:08.717Z\",\"updatedAt\":\"2026-10-06T16:00:29.665Z\"},{\"id\":\"374b1044-0489-473f-91a1-98a2bb3ce454\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 3 - October 5, 2026?\",\"startDate\":\"2026-10-03T16:00:00.000Z\",\"endDate\":\"2026-10-05T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-3-october-5-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-01T16:07:03.644Z\",\"updatedAt\":\"2026-10-05T16:00:26.588Z\"},{\"id\":\"bece6d6c-5614-4438-ba93-f6582244373e\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 1 - October 3, 2026?\",\"startDate\":\"2026-10-01T16:00:00.000Z\",\"endDate\":\"2026-10-03T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-1-october-3-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-28T16:07:07.536Z\",\"updatedAt\":\"2026-10-03T16:00:26.456Z\"},{\"id\":\"7fa5f317-bee6-4dff-b81d-e4507730d655\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 25 - October 2, 2026?\",\"startDate\":\"2026-09-25T16:00:00.000Z\",\"endDate\":\"2026-10-02T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-25-october-2-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-22T04:00:07.145Z\",\"updatedAt\":\"2026-10-02T16:00:26.858Z\"},{\"id\":\"ac6a74fa-50b9-402e-8491-c3cb4dd5a325\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets in September 2026?\",\"startDate\":\"2026-09-01T04:00:00.000Z\",\"endDate\":\"2026-10-01T03:59:59.000Z\",\"target\":null,\"marketLink\":null,\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-07T18:16:28.461Z\",\"updatedAt\":\"2026-10-01T04:00:26.816Z\"},{\"id\":\"789a98d3-59a1-48e5-99ee-cab48d723a7c\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 28 - September 30, 2026?\",\"startDate\":\"2026-09-28T16:00:00.000Z\",\"endDate\":\"2026-09-30T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-28-september-30-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-26T16:07:08.194Z\",\"updatedAt\":\"2026-09-30T16:00:27.013Z\"},{\"id\":\"1c38b5ed-7f2f-47cc-81a8-64e8e2bc4050\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 22 - September 29, 2026?\",\"startDate\":\"2026-09-22T16:00:00.000Z\",\"endDate\":\"2026-09-29T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-22-september-29-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-19T04:00:07.679Z\",\"updatedAt\":\"2026-09-29T16:00:26.490Z\"},{\"id\":\"7bd0db33-78ed-4dfa-8439-d3cf650377b3\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 26 - September 28, 2026?\",\"startDate\":\"2026-09-26T16:00:00.000Z\",\"endDate\":\"2026-09-28T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-26-september-28-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-24T16:07:04.407Z\",\"updatedAt\":\"2026-09-28T16:00:26.298Z\"},{\"id\":\"4541ff14-4656-4276-896c-4bc3e5188989\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 24 - September 26, 2026?\",\"startDate\":\"2026-09-24T16:00:00.000Z\",\"endDate\":\"2026-09-26T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-24-september-26-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-21T16:07:03.388Z\",\"updatedAt\":\"2026-09-26T16:00:26.320Z\"},{\"id\":\"ef499b94-6e20-4c98-bd79-57c12cb62460\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 18 - September 25, 2026?\",\"startDate\":\"2026-09-18T16:00:00.000Z\",\"endDate\":\"2026-09-25T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-18-september-25-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-15T04:0curl: (23) Failure writing output to destination\n\n==== TRACKINGS 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September 26, 2026?\",\"startDate\":\"2026-09-24T16:00:00.000Z\",\"endDate\":\"2026-09-26T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-24-september-26-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-21T16:07:03.388Z\",\"updatedAt\":\"2026-09-26T16:00:26.320Z\"},{\"id\":\"ef499b94-6e20-4c98-bd79-57c12cb62460\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 18 - September 25, 2026?\",\"startDate\":\"2026-09-18T16:00:00.000Z\",\"endDate\":\"2026-09-25T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-18-september-25-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-15T04:0\ncurl: (23) Failure writing output to destination\n\n==== TRACKINGS ====\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk?platform=X\" | head -c 8000; echo; echo \"==== TRACKINGS ====\"; curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/trackings?platform=X&includeStats=true\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\ndata=d.get('data', d)\nif isinstance(data, dict):\n    data=data.get('trackings', data.get('items', [data]))\nprint(type(data), len(data) if hasattr(data,'__len__') else data)\n# print keys\nif isinstance(data, list) and data:\n    print(data[0].keys() if isinstance(data[0], dict) else data[0])\n    for t in data:\n        title=t.get('title') or t.get('name') or ''\n        sd=t.get('startDate','')\n        ed=t.get('endDate','')\n        stats=t.get('stats') or {}\n        total=stats.get('total') if isinstance(stats, dict) else None\n        print('---')\n        print('title:', title)\n        print('start:', sd, 'end:', ed, 'active:', t.get('isActive'), 'total:', total)\n        if isinstance(stats, dict):\n            print('stats keys', list(stats.keys())[:30])\n            # print compact stats without huge daily\n            compact={k:v for k,v in stats.items() if k!='daily' and k!='posts'}\n            print(json.dumps(compact)[:1500])\n            daily=stats.get('daily')\n            if daily:\n                print('daily len', len(daily) if hasattr(daily,'__len__') else type(daily))\n                print(json.dumps(daily)[:2000])\n\"\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":8070},"locations":[]}
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2026-02-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 19 - February 21, 2026?\nstart: 2026-02-19T17:00:00.000Z end: 2026-02-21T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 13 - February 20, 2026?\nstart: 2026-02-13T17:00:00.000Z end: 2026-02-20T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 16 - February 18, 2026?\nstart: 2026-02-16T17:00:00.000Z end: 2026-02-18T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 10 - February 17, 2026?\nstart: 2026-02-10T17:00:00.000Z end: 2026-02-17T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 14 - February 16, 2026?\nstart: 2026-02-14T17:00:00.000Z end: 2026-02-16T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 12 - February 14, 2026?\nstart: 2026-02-12T17:00:00.000Z end: 2026-02-14T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 6 - February 13, 2026?\nstart: 2026-02-06T17:00:00.000Z end: 2026-02-13T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 9 - February 11, 2026?\nstart: 2026-02-09T17:00:00.000Z end: 2026-02-11T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 3 - February 10, 2026?\nstart: 2026-02-03T17:00:00.000Z end: 2026-02-10T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 7 - February 9, 2026?\nstart: 2026-02-07T17:00:00.000Z end: 2026-02-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle:  Elon Musk # tweets January 30 - February 6, 2026?\nstart: 2026-01-30T17:00:00.000Z end: 2026-02-06T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 2 - February 4, 2026?\nstart: 2026-02-02T17:00:00.000Z end: 2026-02-04T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 27 - February 3, 2026?\nstart: 2026-01-27T17:00:00.000Z end: 2026-02-03T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 31 - February 2, 2026?\nstart: 2026-01-31T17:00:00.000Z end: 2026-02-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 29 - January 31, 2026?\nstart: 2026-01-29T17:00:00.000Z end: 2026-01-31T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 23 - January 30, 2026?\nstart: 2026-01-23T17:00:00.000Z end: 2026-01-30T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 26 - January 28, 2026?\nstart: 2026-01-26T17:00:00.000Z end: 2026-01-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 20 - January 27, 2026?\nstart: 2026-01-20T17:00:00.000Z end: 2026-01-27T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 24 - January 26, 2026?\nstart: 2026-01-24T17:00:00.000Z end: 2026-01-26T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 22 - January 24, 2026?\nstart: 2026-01-22T17:00:00.000Z end: 2026-01-24T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 16 - January 23, 2026?\nstart: 2026-01-16T17:00:00.000Z end: 2026-01-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 19 - January 21, 2026?\nstart: 2026-01-19T17:00:00.000Z end: 2026-01-21T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 13 - January 20, 2026?\nstart: 2026-01-13T17:00:00.000Z end: 2026-01-20T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 17 - January 19, 2026?\nstart: 2026-01-17T17:00:00.000Z end: 2026-01-19T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 15 - January 17, 2026?\nstart: 2026-01-15T17:00:00.000Z end: 2026-01-17T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Jan 9 to Jan 16?\nstart: 2026-01-09T17:00:00.000Z end: 2026-01-16T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 12 - January 14, 2026?\nstart: 2026-01-12T17:00:00.000Z end: 2026-01-14T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 6 - January 13, 2026?\nstart: 2026-01-06T17:00:00.000Z end: 2026-01-13T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 10 - January 12, 2026?\nstart: 2026-01-10T17:00:00.000Z end: 2026-01-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 8 - January 10, 2026?\nstart: 2026-01-08T17:00:00.000Z end: 2026-01-10T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 2 - January 9, 2026?\nstart: 2026-01-02T17:00:00.000Z end: 2026-01-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7,?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7, 2026?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 30 - January 6, 2026?\nstart: 2025-12-30T17:00:00.000Z end: 2026-01-06T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 3 - January 5, 2026?\nstart: 2026-01-03T17:00:00.000Z end: 2026-01-05T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 1 - January 3, 2026?\nstart: 2026-01-01T17:00:00.000Z end: 2026-01-03T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 26 - January 2, 2026?\nstart: 2025-12-26T17:00:00.000Z end: 2026-01-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk musk # tweets in December 2025?\nstart: 2025-12-01T05:00:00.000Z end: 2026-01-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 23 - December 30, 2025?\nstart: 2025-12-23T17:00:00.000Z end: 2025-12-30T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 19 - December 26, 2025?\nstart: 2025-12-19T17:00:00.000Z end: 2025-12-26T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 16 - December 23, 2025?\nstart: 2025-12-16T17:00:00.000Z end: 2025-12-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 12 - December 19, 2025?\nstart: 2025-12-12T17:00:00.000Z end: 2025-12-19T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle:  Elon Musk # tweets December 9 - December 16, 2025?\nstart: 2025-12-09T17:00:00.000Z end: 2025-12-16T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 5 - December 12, 2025?\nstart: 2025-12-05T17:00:00.000Z end: 2025-12-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Dec 2 12:00 PM to Dec 9 11:59 AM?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Nov 28 12:00 PM to Dec 5 11:59 AM?\nstart: 2025-11-28T17:00:00.000Z end: 2025-12-05T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 25 - December 2, 2025?\nstart: 2025-11-25T17:00:00.000Z end: 2025-12-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets in November?\nstart: 2025-11-01T04:00:00.000Z end: 2025-12-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 18 - November 25, 2025?\nstart: 2025-11-18T17:00:00.000Z end: 2025-11-25T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 14 - November 21, 2025?\nstart: 2025-11-14T17:00:00.000Z end: 2025-11-21T16:59:59.000Z active: False total: None\nstats keys 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None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 26 - February 28, 2026?\nstart: 2026-02-26T17:00:00.000Z end: 2026-02-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 20 - February 27, 2026?\nstart: 2026-02-20T17:00:00.000Z end: 2026-02-27T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 23 - February 25, 2026?\nstart: 2026-02-23T17:00:00.000Z end: 2026-02-25T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 17 - February 24, 2026?\nstart: 2026-02-17T17:00:00.000Z end: 2026-02-24T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 21 - February 23, 2026?\nstart: 2026-02-21T17:00:00.000Z end: 2026-02-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 19 - February 21, 2026?\nstart: 2026-02-19T17:00:00.000Z end: 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2026?\nstart: 2026-02-06T17:00:00.000Z end: 2026-02-13T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 9 - February 11, 2026?\nstart: 2026-02-09T17:00:00.000Z end: 2026-02-11T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 3 - February 10, 2026?\nstart: 2026-02-03T17:00:00.000Z end: 2026-02-10T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 7 - February 9, 2026?\nstart: 2026-02-07T17:00:00.000Z end: 2026-02-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle:  Elon Musk # tweets January 30 - February 6, 2026?\nstart: 2026-01-30T17:00:00.000Z end: 2026-02-06T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 2 - February 4, 2026?\nstart: 2026-02-02T17:00:00.000Z end: 2026-02-04T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 27 - February 3, 2026?\nstart: 2026-01-27T17:00:00.000Z end: 2026-02-03T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 31 - February 2, 2026?\nstart: 2026-01-31T17:00:00.000Z end: 2026-02-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 29 - January 31, 2026?\nstart: 2026-01-29T17:00:00.000Z end: 2026-01-31T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 23 - January 30, 2026?\nstart: 2026-01-23T17:00:00.000Z end: 2026-01-30T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 26 - January 28, 2026?\nstart: 2026-01-26T17:00:00.000Z end: 2026-01-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 20 - January 27, 2026?\nstart: 2026-01-20T17:00:00.000Z end: 2026-01-27T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 24 - January 26, 2026?\nstart: 2026-01-24T17:00:00.000Z end: 2026-01-26T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 22 - January 24, 2026?\nstart: 2026-01-22T17:00:00.000Z end: 2026-01-24T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 16 - January 23, 2026?\nstart: 2026-01-16T17:00:00.000Z end: 2026-01-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 19 - January 21, 2026?\nstart: 2026-01-19T17:00:00.000Z end: 2026-01-21T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 13 - January 20, 2026?\nstart: 2026-01-13T17:00:00.000Z end: 2026-01-20T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 17 - January 19, 2026?\nstart: 2026-01-17T17:00:00.000Z end: 2026-01-19T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 15 - January 17, 2026?\nstart: 2026-01-15T17:00:00.000Z end: 2026-01-17T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Jan 9 to Jan 16?\nstart: 2026-01-09T17:00:00.000Z end: 2026-01-16T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 12 - January 14, 2026?\nstart: 2026-01-12T17:00:00.000Z end: 2026-01-14T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 6 - January 13, 2026?\nstart: 2026-01-06T17:00:00.000Z end: 2026-01-13T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 10 - January 12, 2026?\nstart: 2026-01-10T17:00:00.000Z end: 2026-01-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 8 - January 10, 2026?\nstart: 2026-01-08T17:00:00.000Z end: 2026-01-10T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 2 - January 9, 2026?\nstart: 2026-01-02T17:00:00.000Z end: 2026-01-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7,?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7, 2026?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 30 - January 6, 2026?\nstart: 2025-12-30T17:00:00.000Z end: 2026-01-06T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 3 - January 5, 2026?\nstart: 2026-01-03T17:00:00.000Z end: 2026-01-05T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 1 - January 3, 2026?\nstart: 2026-01-01T17:00:00.000Z end: 2026-01-03T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 26 - January 2, 2026?\nstart: 2025-12-26T17:00:00.000Z end: 2026-01-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk musk # tweets in December 2025?\nstart: 2025-12-01T05:00:00.000Z end: 2026-01-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 23 - December 30, 2025?\nstart: 2025-12-23T17:00:00.000Z end: 2025-12-30T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 19 - December 26, 2025?\nstart: 2025-12-19T17:00:00.000Z end: 2025-12-26T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 16 - December 23, 2025?\nstart: 2025-12-16T17:00:00.000Z end: 2025-12-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 12 - December 19, 2025?\nstart: 2025-12-12T17:00:00.000Z end: 2025-12-19T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle:  Elon Musk # tweets December 9 - December 16, 2025?\nstart: 2025-12-09T17:00:00.000Z end: 2025-12-16T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 5 - December 12, 2025?\nstart: 2025-12-05T17:00:00.000Z end: 2025-12-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Dec 2 12:00 PM to Dec 9 11:59 AM?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Nov 28 12:00 PM to Dec 5 11:59 AM?\nstart: 2025-11-28T17:00:00.000Z end: 2025-12-05T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 25 - December 2, 2025?\nstart: 2025-11-25T17:00:00.000Z end: 2025-12-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets in November?\nstart: 2025-11-01T04:00:00.000Z end: 2025-12-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 18 - November 25, 2025?\nstart: 2025-11-18T17:00:00.000Z end: 2025-11-25T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 14 - November 21, 2025?\nstart: 2025-11-14T17:00:00.000Z end: 2025-11-21T16:59:59.000Z active: False total: None\nstats keys []\n{}\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk?platform=X\" | head -c 8000; echo; echo \"==== TRACKINGS ====\"; curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/trackings?platform=X&includeStats=true\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\ndata=d.get('data', d)\nif isinstance(data, dict):\n    data=data.get('trackings', data.get('items', [data]))\nprint(type(data), len(data) if hasattr(data,'__len__') else data)\n# print keys\nif isinstance(data, list) and data:\n    print(data[0].keys() if isinstance(data[0], dict) else data[0])\n    for t in data:\n        title=t.get('title') or t.get('name') or ''\n        sd=t.get('startDate','')\n        ed=t.get('endDate','')\n        stats=t.get('stats') or {}\n        total=stats.get('total') if isinstance(stats, dict) else None\n        print('---')\n        print('title:', title)\n        print('start:', sd, 'end:', ed, 'active:', t.get('isActive'), 'total:', total)\n        if isinstance(stats, dict):\n            print('stats keys', list(stats.keys())[:30])\n            # print compact stats without huge daily\n            compact={k:v for k,v in stats.items() if k!='daily' and k!='posts'}\n            print(json.dumps(compact)[:1500])\n            daily=stats.get('daily')\n            if daily:\n                print('daily len', len(daily) if hasattr(daily,'__len__') else type(daily))\n                print(json.dumps(daily)[:2000])\n\"\n","truncated":true,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":44237},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c699615f-1ddf-42d8-9b52-4504dde109d3-7","status":"completed","content":[{"type":"content","content":{"type":"text","text":"{\"success\":true,\"data\":{\"id\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"handle\":\"elonmusk\",\"name\":\"Elon Musk\",\"platform\":\"X\",\"platformId\":\"44196397\",\"avatarUrl\":\"https://pbs.twimg.com/profile_images/1983681414370619392/oTT3nm5Z_normal.jpg\",\"bio\":\"\",\"verified\":false,\"lastSync\":\"2026-10-09T15:25:30.242Z\",\"lastSyncError\":null,\"createdAt\":\"2025-11-18T16:43:48.609Z\",\"updatedAt\":\"2026-10-09T15:25:30.243Z\",\"trackings\":[{\"id\":\"183475ce-0cd8-46ba-9b4c-ed53187f4bd2\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets in October 2026?\",\"startDate\":\"2026-10-01T04:00:00.000Z\",\"endDate\":\"2026-11-01T03:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-08-24T04:00:10.611Z\",\"updatedAt\":\"2026-08-24T04:00:10.611Z\"},{\"id\":\"cfff4aad-56c6-4841-bc2f-d51e910bec08\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 9 - October 16, 2026?\",\"startDate\":\"2026-10-09T16:00:00.000Z\",\"endDate\":\"2026-10-16T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-9-october-16-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-06T04:00:07.187Z\",\"updatedAt\":\"2026-10-06T04:00:07.187Z\"},{\"id\":\"5cbbf9c6-b545-4a05-8a10-84887f449662\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 6 - October 13, 2026?\",\"startDate\":\"2026-10-06T16:00:00.000Z\",\"endDate\":\"2026-10-13T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-6-october-13-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-03T04:00:07.575Z\",\"updatedAt\":\"2026-10-03T04:00:07.575Z\"},{\"id\":\"31f680e4-cc88-494a-a2ed-d186c90dfd2e\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 10 - October 12, 2026?\",\"startDate\":\"2026-10-10T16:00:00.000Z\",\"endDate\":\"2026-10-12T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-10-october-12-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-08T16:07:05.173Z\",\"updatedAt\":\"2026-10-08T16:07:05.173Z\"},{\"id\":\"97b128a4-e033-44d7-afd1-039106cf74f2\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 8 - October 10, 2026?\",\"startDate\":\"2026-10-08T16:00:00.000Z\",\"endDate\":\"2026-10-10T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-8-october-10-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-05T16:07:04.131Z\",\"updatedAt\":\"2026-10-05T16:07:04.131Z\"},{\"id\":\"a0c5d2b5-2528-41d8-b310-f2ce5aa44d70\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 2 - October 9, 2026?\",\"startDate\":\"2026-10-02T16:00:00.000Z\",\"endDate\":\"2026-10-09T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-2-october-9-2026\",\"isActive\":true,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-29T04:00:06.586Z\",\"updatedAt\":\"2026-09-29T04:00:06.586Z\"},{\"id\":\"cb07c75c-9df6-40b0-8672-b16db69e4568\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 5 - October 7, 2026?\",\"startDate\":\"2026-10-05T16:00:00.000Z\",\"endDate\":\"2026-10-07T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-5-october-7-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-03T16:07:06.467Z\",\"updatedAt\":\"2026-10-07T16:00:26.882Z\"},{\"id\":\"b3d99c88-1249-44e0-bfcc-e49edbc9b764\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 29 - October 6, 2026?\",\"startDate\":\"2026-09-29T16:00:00.000Z\",\"endDate\":\"2026-10-06T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-29-october-6-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-26T04:00:08.717Z\",\"updatedAt\":\"2026-10-06T16:00:29.665Z\"},{\"id\":\"374b1044-0489-473f-91a1-98a2bb3ce454\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 3 - October 5, 2026?\",\"startDate\":\"2026-10-03T16:00:00.000Z\",\"endDate\":\"2026-10-05T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-3-october-5-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-10-01T16:07:03.644Z\",\"updatedAt\":\"2026-10-05T16:00:26.588Z\"},{\"id\":\"bece6d6c-5614-4438-ba93-f6582244373e\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets October 1 - October 3, 2026?\",\"startDate\":\"2026-10-01T16:00:00.000Z\",\"endDate\":\"2026-10-03T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-october-1-october-3-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-28T16:07:07.536Z\",\"updatedAt\":\"2026-10-03T16:00:26.456Z\"},{\"id\":\"7fa5f317-bee6-4dff-b81d-e4507730d655\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 25 - October 2, 2026?\",\"startDate\":\"2026-09-25T16:00:00.000Z\",\"endDate\":\"2026-10-02T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-25-october-2-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-22T04:00:07.145Z\",\"updatedAt\":\"2026-10-02T16:00:26.858Z\"},{\"id\":\"ac6a74fa-50b9-402e-8491-c3cb4dd5a325\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets in September 2026?\",\"startDate\":\"2026-09-01T04:00:00.000Z\",\"endDate\":\"2026-10-01T03:59:59.000Z\",\"target\":null,\"marketLink\":null,\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-07T18:16:28.461Z\",\"updatedAt\":\"2026-10-01T04:00:26.816Z\"},{\"id\":\"789a98d3-59a1-48e5-99ee-cab48d723a7c\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 28 - September 30, 2026?\",\"startDate\":\"2026-09-28T16:00:00.000Z\",\"endDate\":\"2026-09-30T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-28-september-30-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-26T16:07:08.194Z\",\"updatedAt\":\"2026-09-30T16:00:27.013Z\"},{\"id\":\"1c38b5ed-7f2f-47cc-81a8-64e8e2bc4050\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 22 - September 29, 2026?\",\"startDate\":\"2026-09-22T16:00:00.000Z\",\"endDate\":\"2026-09-29T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-22-september-29-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-19T04:00:07.679Z\",\"updatedAt\":\"2026-09-29T16:00:26.490Z\"},{\"id\":\"7bd0db33-78ed-4dfa-8439-d3cf650377b3\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 26 - September 28, 2026?\",\"startDate\":\"2026-09-26T16:00:00.000Z\",\"endDate\":\"2026-09-28T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-26-september-28-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-24T16:07:04.407Z\",\"updatedAt\":\"2026-09-28T16:00:26.298Z\"},{\"id\":\"4541ff14-4656-4276-896c-4bc3e5188989\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 24 - September 26, 2026?\",\"startDate\":\"2026-09-24T16:00:00.000Z\",\"endDate\":\"2026-09-26T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-24-september-26-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-21T16:07:03.388Z\",\"updatedAt\":\"2026-09-26T16:00:26.320Z\"},{\"id\":\"ef499b94-6e20-4c98-bd79-57c12cb62460\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets September 18 - September 25, 2026?\",\"startDate\":\"2026-09-18T16:00:00.000Z\",\"endDate\":\"2026-09-25T15:59:59.000Z\",\"target\":null,\"marketLink\":\"https://polymarket.com/event/elon-musk-of-tweets-september-18-september-25-2026\",\"isActive\":false,\"metrics\":{},\"config\":{},\"createdAt\":\"2026-09-15T04:0curl: (23) Failure writing output to destination\n\n==== TRACKINGS ====\n<class 'list'> 221\ndict_keys(['id', 'userId', 'title', 'startDate', 'endDate', 'target', 'marketLink', 'isActive', 'metrics', 'config', 'createdAt', 'updatedAt'])\n---\ntitle: Elon Musk # tweets in October 2026?\nstart: 2026-10-01T04:00:00.000Z end: 2026-11-01T03:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 9 - October 16, 2026?\nstart: 2026-10-09T16:00:00.000Z end: 2026-10-16T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 6 - October 13, 2026?\nstart: 2026-10-06T16:00:00.000Z end: 2026-10-13T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 10 - October 12, 2026?\nstart: 2026-10-10T16:00:00.000Z end: 2026-10-12T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 8 - October 10, 2026?\nstart: 2026-10-08T16:00:00.000Z end: 2026-10-10T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 2 - October 9, 2026?\nstart: 2026-10-02T16:00:00.000Z end: 2026-10-09T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 5 - October 7, 2026?\nstart: 2026-10-05T16:00:00.000Z end: 2026-10-07T15:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets September 29 - October 6, 2026?\nstart: 2026-09-29T16:00:00.000Z end: 2026-10-06T15:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 3 - October 5, 2026?\nstart: 2026-10-03T16:00:00.000Z end: 2026-10-05T15:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 1 - October 3, 2026?\nstart: 2026-10-01T16:00:00.000Z end: 2026-10-03T15:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets September 25 - October 2, 2026?\nstart: 2026-09-25T16:00:00.000Z end: 2026-10-02T15:59:59.000Z active: False\n\n... (output truncated) ...\n\ntotal: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 26 - February 28, 2026?\nstart: 2026-02-26T17:00:00.000Z end: 2026-02-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 20 - February 27, 2026?\nstart: 2026-02-20T17:00:00.000Z end: 2026-02-27T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 23 - February 25, 2026?\nstart: 2026-02-23T17:00:00.000Z end: 2026-02-25T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 17 - February 24, 2026?\nstart: 2026-02-17T17:00:00.000Z end: 2026-02-24T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 21 - February 23, 2026?\nstart: 2026-02-21T17:00:00.000Z end: 2026-02-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 19 - February 21, 2026?\nstart: 2026-02-19T17:00:00.000Z end: 2026-02-21T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 13 - February 20, 2026?\nstart: 2026-02-13T17:00:00.000Z end: 2026-02-20T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 16 - February 18, 2026?\nstart: 2026-02-16T17:00:00.000Z end: 2026-02-18T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 10 - February 17, 2026?\nstart: 2026-02-10T17:00:00.000Z end: 2026-02-17T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 14 - February 16, 2026?\nstart: 2026-02-14T17:00:00.000Z end: 2026-02-16T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 12 - February 14, 2026?\nstart: 2026-02-12T17:00:00.000Z end: 2026-02-14T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 6 - February 13, 2026?\nstart: 2026-02-06T17:00:00.000Z end: 2026-02-13T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 9 - February 11, 2026?\nstart: 2026-02-09T17:00:00.000Z end: 2026-02-11T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 3 - February 10, 2026?\nstart: 2026-02-03T17:00:00.000Z end: 2026-02-10T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 7 - February 9, 2026?\nstart: 2026-02-07T17:00:00.000Z end: 2026-02-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle:  Elon Musk # tweets January 30 - February 6, 2026?\nstart: 2026-01-30T17:00:00.000Z end: 2026-02-06T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 2 - February 4, 2026?\nstart: 2026-02-02T17:00:00.000Z end: 2026-02-04T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 27 - February 3, 2026?\nstart: 2026-01-27T17:00:00.000Z end: 2026-02-03T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 31 - February 2, 2026?\nstart: 2026-01-31T17:00:00.000Z end: 2026-02-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 29 - January 31, 2026?\nstart: 2026-01-29T17:00:00.000Z end: 2026-01-31T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 23 - January 30, 2026?\nstart: 2026-01-23T17:00:00.000Z end: 2026-01-30T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 26 - January 28, 2026?\nstart: 2026-01-26T17:00:00.000Z end: 2026-01-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 20 - January 27, 2026?\nstart: 2026-01-20T17:00:00.000Z end: 2026-01-27T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 24 - January 26, 2026?\nstart: 2026-01-24T17:00:00.000Z end: 2026-01-26T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 22 - January 24, 2026?\nstart: 2026-01-22T17:00:00.000Z end: 2026-01-24T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 16 - January 23, 2026?\nstart: 2026-01-16T17:00:00.000Z end: 2026-01-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 19 - January 21, 2026?\nstart: 2026-01-19T17:00:00.000Z end: 2026-01-21T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 13 - January 20, 2026?\nstart: 2026-01-13T17:00:00.000Z end: 2026-01-20T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 17 - January 19, 2026?\nstart: 2026-01-17T17:00:00.000Z end: 2026-01-19T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 15 - January 17, 2026?\nstart: 2026-01-15T17:00:00.000Z end: 2026-01-17T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Jan 9 to Jan 16?\nstart: 2026-01-09T17:00:00.000Z end: 2026-01-16T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 12 - January 14, 2026?\nstart: 2026-01-12T17:00:00.000Z end: 2026-01-14T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 6 - January 13, 2026?\nstart: 2026-01-06T17:00:00.000Z end: 2026-01-13T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 10 - January 12, 2026?\nstart: 2026-01-10T17:00:00.000Z end: 2026-01-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 8 - January 10, 2026?\nstart: 2026-01-08T17:00:00.000Z end: 2026-01-10T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 2 - January 9, 2026?\nstart: 2026-01-02T17:00:00.000Z end: 2026-01-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7,?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7, 2026?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 30 - January 6, 2026?\nstart: 2025-12-30T17:00:00.000Z end: 2026-01-06T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 3 - January 5, 2026?\nstart: 2026-01-03T17:00:00.000Z end: 2026-01-05T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 1 - January 3, 2026?\nstart: 2026-01-01T17:00:00.000Z end: 2026-01-03T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 26 - January 2, 2026?\nstart: 2025-12-26T17:00:00.000Z end: 2026-01-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk musk # tweets in December 2025?\nstart: 2025-12-01T05:00:00.000Z end: 2026-01-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 23 - December 30, 2025?\nstart: 2025-12-23T17:00:00.000Z end: 2025-12-30T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 19 - December 26, 2025?\nstart: 2025-12-19T17:00:00.000Z end: 2025-12-26T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 16 - December 23, 2025?\nstart: 2025-12-16T17:00:00.000Z end: 2025-12-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 12 - December 19, 2025?\nstart: 2025-12-12T17:00:00.000Z end: 2025-12-19T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle:  Elon Musk # tweets December 9 - December 16, 2025?\nstart: 2025-12-09T17:00:00.000Z end: 2025-12-16T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 5 - December 12, 2025?\nstart: 2025-12-05T17:00:00.000Z end: 2025-12-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Dec 2 12:00 PM to Dec 9 11:59 AM?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Nov 28 12:00 PM to Dec 5 11:59 AM?\nstart: 2025-11-28T17:00:00.000Z end: 2025-12-05T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 25 - December 2, 2025?\nstart: 2025-11-25T17:00:00.000Z end: 2025-12-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets in November?\nstart: 2025-11-01T04:00:00.000Z end: 2025-12-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 18 - November 25, 2025?\nstart: 2025-11-18T17:00:00.000Z end: 2025-11-25T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 14 - November 21, 2025?\nstart: 2025-11-14T17:00:00.000Z end: 2025-11-21T16:59:59.000Z active: False total: None\nstats keys []\n{}\n"}}],"rawOutput":{"type":"Bash","output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0 [truncated: showing first/last 19.6 KB of 43.2 KB - full output at: /tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-c699615f-1ddf-42d8-9b52-4504dde109d3-7.log]\n{\"success\":true,\"data\":{\"id\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"handle\":\"elonmusk\",\"name\":\"Elon Musk\",\"platform\":\"X\",\"platformId\":\"44196397\",\"avatarUrl\":\"https://pbs.twimg.com/profile_images/1983681414370619392/oTT3nm5Z_normal.jpg\",\"bio\":\"\",\"verified\":false,\"lastSync\":\"2026-10-09T15:25:30.242Z\",\"lastSyncError\":null,\"createdAt\":\"2025-11-18T16:43:48.609Z\",\"updatedAt\":\"2026-10-09T15:25:30.243Z\",\"trackings\":[{\"id\":\"183475ce-0cd8-46ba-9b4c-ed53187f4bd2\",\"userId\":\"c4e2a911-36ec-4453-8a39-1edb5e6b2969\",\"title\":\"Elon Musk # tweets in October 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active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 10 - October 12, 2026?\nstart: 2026-10-10T16:00:00.000Z end: 2026-10-12T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 8 - October 10, 2026?\nstart: 2026-10-08T16:00:00.000Z end: 2026-10-10T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 2 - October 9, 2026?\nstart: 2026-10-02T16:00:00.000Z end: 2026-10-09T15:59:59.000Z active: True total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 5 - October 7, 2026?\nstart: 2026-10-05T16:00:00.000Z end: 2026-10-07T15:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets September 29 - October 6, 2026?\nstart: 2026-09-29T16:00:00.000Z end: 2026-10-06T15:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets October 3 - October 5, 2026?\nstart: 2026-10-03T16:00:00.000Z end: 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(output truncated) ...\n\ntotal: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 26 - February 28, 2026?\nstart: 2026-02-26T17:00:00.000Z end: 2026-02-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 20 - February 27, 2026?\nstart: 2026-02-20T17:00:00.000Z end: 2026-02-27T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 23 - February 25, 2026?\nstart: 2026-02-23T17:00:00.000Z end: 2026-02-25T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 17 - February 24, 2026?\nstart: 2026-02-17T17:00:00.000Z end: 2026-02-24T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 21 - February 23, 2026?\nstart: 2026-02-21T17:00:00.000Z end: 2026-02-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 19 - February 21, 2026?\nstart: 2026-02-19T17:00:00.000Z end: 2026-02-21T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets February 13 - 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January 14, 2026?\nstart: 2026-01-12T17:00:00.000Z end: 2026-01-14T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 6 - January 13, 2026?\nstart: 2026-01-06T17:00:00.000Z end: 2026-01-13T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 10 - January 12, 2026?\nstart: 2026-01-10T17:00:00.000Z end: 2026-01-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 8 - January 10, 2026?\nstart: 2026-01-08T17:00:00.000Z end: 2026-01-10T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 2 - January 9, 2026?\nstart: 2026-01-02T17:00:00.000Z end: 2026-01-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7,?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 5 - January 7, 2026?\nstart: 2026-01-05T17:00:00.000Z end: 2026-01-07T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 30 - January 6, 2026?\nstart: 2025-12-30T17:00:00.000Z end: 2026-01-06T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 3 - January 5, 2026?\nstart: 2026-01-03T17:00:00.000Z end: 2026-01-05T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets January 1 - January 3, 2026?\nstart: 2026-01-01T17:00:00.000Z end: 2026-01-03T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 26 - January 2, 2026?\nstart: 2025-12-26T17:00:00.000Z end: 2026-01-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk musk # tweets in December 2025?\nstart: 2025-12-01T05:00:00.000Z end: 2026-01-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 23 - December 30, 2025?\nstart: 2025-12-23T17:00:00.000Z end: 2025-12-30T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 19 - December 26, 2025?\nstart: 2025-12-19T17:00:00.000Z end: 2025-12-26T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 16 - December 23, 2025?\nstart: 2025-12-16T17:00:00.000Z end: 2025-12-23T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 12 - December 19, 2025?\nstart: 2025-12-12T17:00:00.000Z end: 2025-12-19T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle:  Elon Musk # tweets December 9 - December 16, 2025?\nstart: 2025-12-09T17:00:00.000Z end: 2025-12-16T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 5 - December 12, 2025?\nstart: 2025-12-05T17:00:00.000Z end: 2025-12-12T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets December 2 - December 9, 2025?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Dec 2 12:00 PM to Dec 9 11:59 AM?\nstart: 2025-12-02T17:00:00.000Z end: 2025-12-09T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets from Nov 28 12:00 PM to Dec 5 11:59 AM?\nstart: 2025-11-28T17:00:00.000Z end: 2025-12-05T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 25 - December 2, 2025?\nstart: 2025-11-25T17:00:00.000Z end: 2025-12-02T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # Tweets in November?\nstart: 2025-11-01T04:00:00.000Z end: 2025-12-01T05:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T17:00:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 21 - November 28, 2025?\nstart: 2025-11-21T17:00:00.000Z end: 2025-11-28T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 18 - November 25, 2025?\nstart: 2025-11-18T17:00:00.000Z end: 2025-11-25T16:59:59.000Z active: False total: None\nstats keys []\n{}\n---\ntitle: Elon Musk # tweets November 14 - November 21, 2025?\nstart: 2025-11-14T17:00:00.000Z end: 2025-11-21T16:59:59.000Z active: False total: None\nstats keys []\n{}\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk?platform=X\" | head -c 8000; echo; echo \"==== TRACKINGS ====\"; curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/trackings?platform=X&includeStats=true\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\ndata=d.get('data', d)\nif isinstance(data, dict):\n    data=data.get('trackings', data.get('items', [data]))\nprint(type(data), len(data) if hasattr(data,'__len__') else data)\n# print keys\nif isinstance(data, list) and data:\n    print(data[0].keys() if isinstance(data[0], dict) else data[0])\n    for t in data:\n        title=t.get('title') or t.get('name') or ''\n        sd=t.get('startDate','')\n        ed=t.get('endDate','')\n        stats=t.get('stats') or {}\n        total=stats.get('total') if isinstance(stats, dict) else None\n        print('---')\n        print('title:', title)\n        print('start:', sd, 'end:', ed, 'active:', t.get('isActive'), 'total:', total)\n        if isinstance(stats, dict):\n            print('stats keys', list(stats.keys())[:30])\n            # print compact stats without huge daily\n            compact={k:v for k,v in stats.items() if k!='daily' and k!='posts'}\n            print(json.dumps(compact)[:1500])\n            daily=stats.get('daily')\n            if daily:\n                print('daily len', len(daily) if hasattr(daily,'__len__') else type(daily))\n                print(json.dumps(daily)[:2000])\n\"\n","truncated":true,"signal":null,"timed_out":false,"description":"Fetch Elon xtracker user and tracking stats","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-c699615f-1ddf-42d8-9b52-4504dde109d3-7.log","total_bytes":44237},"locations":[]}
{"type":"thought","data":"Checking tracking statistics for ID 97b128a4-e033-44d7-afd1-039106cf74f2."}
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{"type":"usage","usage":{"input_tokens":9656,"output_tokens":927,"cache_read_input_tokens":31744,"cache_creation_input_tokens":0,"reasoning_tokens":62},"signature":"QMlUwVai1ZQE/ucZtfV0z+wSLe4gIbliA2GXN/S3lRGyLpGIjilNrJrQ+kM6yYk2Cq1eBQnKZn9PW/nqvzMMDgYyBTl2CJBy5Q1hDkOQ8FymKNtjHTk3HDavTEZmiJGr4B5AwIYvogn49NSz8ZpiTkYLtFOb/pj7plRjsZucFJV04eHS19R1kof2/peTApVOVTeUu3leVmJOqkVu0DQFFhk1yJFRR2yGJTR5mJ67fSvBMe049He64PXALRMI+XFWm5SM24dEdNoXv9sWMRA3xeo5skxmXX/zjWfHDpJpWCcGOw"}
{"type":"tool_call","toolCallId":"call-5e922a08-ad6a-4bea-8014-1cc6347cefbd-8","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"curl -sS \"https://xtracker.polymarket.com/api/trackings/97b128a4-e033-44d7-afd1-039106cf74f2?includeStats=true\" -o /tmp/tracking.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/tracking.json\"))\nprint(d.keys())\ndata=d.get(\"data\", d)\nprint(data.keys() if isinstance(data, dict) else type(data))\nstats=data.get(\"stats\") if isinstance(data, dict) else None\nprint(\"title\", data.get(\"title\") if isinstance(data, dict) else None)\nif stats:\n    print(\"stats keys\", stats.keys())\n    compact={k:v for k,v in stats.items() if k not in (\"daily\",\"posts\",\"hourly\")}\n    print(json.dumps(compact, indent=2)[:4000])\n    for k in (\"daily\",\"hourly\",\"posts\"):\n        if k in stats:\n            v=stats[k]\n            print(k, type(v), len(v) if hasattr(v,\"__len__\") else \"\")\n            print(json.dumps(v)[:3000])\nelse:\n    print(json.dumps(data)[:2000])\nPY\necho \"==== POSTS COUNT ====\"\ncurl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-10-08T16:00:00.000Z&endDate=2026-10-10T16:00:00.000Z\" -o /tmp/posts.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timezone\nraw=open(\"/tmp/posts.json\").read()\nprint(\"len\", len(raw))\nd=json.loads(raw)\ndata=d.get(\"data\", d) if isinstance(d, dict) else d\nprint(type(data), len(data) if hasattr(data,\"__len__\") else \"\")\nif isinstance(data, dict):\n    print(data.keys())\n    for k,v in data.items():\n        if isinstance(v, list):\n            print(k, len(v))\n            data=v\n            break\nposts=data if isinstance(data, list) else []\nprint(\"n posts\", len(posts))\nif posts:\n    print(\"sample keys\", posts[0].keys())\n    times=[]\n    for p in posts:\n        t=p.get(\"createdAt\") or p.get(\"created_at\")\n        times.append(t)\n    times_sorted=sorted(times)\n    print(\"first\", times_sorted[0], \"last\", times_sorted[-1])\n    # hourly buckets ET\n    from collections import Counter\n    c=Counter()\n    start=datetime.fromisoformat(\"2026-10-08T16:00:00+00:00\")\n    end=datetime.fromisoformat(\"2026-10-10T15:59:59+00:00\")\n    n_in=0\n    replies=0\n    for p in posts:\n        t=datetime.fromisoformat(p[\"createdAt\"].replace(\"Z\",\"+00:00\"))\n        if start <= t <= end:\n            n_in += 1\n            content=p.get(\"content\") or \"\"\n            # replies often start with @\n            if content.startswith(\"@\") and not content.startswith(\"RT \"):\n                replies += 1\n            hour=t.strftime(\"%Y-%m-%d %H\")\n            c[hour]+=1\n    print(\"in window\", n_in, \"possible replies\", replies)\n    for h in sorted(c):\n        print(h, c[h])\nPY\n","description":"Get Oct 8-10 tracking stats and post counts"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-5e922a08-ad6a-4bea-8014-1cc6347cefbd-8","status":null,"content":[{"type":"content","content":{"type":"text","text":"Get Oct 8-10 tracking stats and post counts"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-5e922a08-ad6a-4bea-8014-1cc6347cefbd-8","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/trackings/97b128a4-e033-44d7-afd1-039106cf74f2?includeStats=true\" -o /tmp/tracking.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/tracking.json\"))\nprint(d.keys())\ndata=d.get(\"data\", d)\nprint(data.keys() if isinstance(data, dict) else type(data))\nstats=data.get(\"stats\") if isinstance(data, dict) else None\nprint(\"title\", data.get(\"title\") if isinstance(data, dict) else None)\nif stats:\n    print(\"stats keys\", stats.keys())\n    compact={k:v for k,v in stats.items() if k not in (\"daily\",\"posts\",\"hourly\")}\n    print(json.dumps(compact, indent=2)[:4000])\n    for k in (\"daily\",\"hourly\",\"posts\"):\n        if k in stats:\n            v=stats[k]\n            print(k, type(v), len(v) if hasattr(v,\"__len__\") else \"\")\n            print(json.dumps(v)[:3000])\nelse:\n    print(json.dumps(data)[:2000])\nPY\necho \"==== POSTS COUNT ====\"\ncurl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-10-08T16:00:00.000Z&endDate=2026-10-10T16:00:00.000Z\" -o /tmp/posts.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timezone\nraw=open(\"/tmp/posts.json\").read()\nprint(\"len\", len(raw))\nd=json.loads(raw)\ndata=d.get(\"data\", d) if isinstance(d, dict) else d\nprint(type(data), len(data) if hasattr(data,\"__len__\") else \"\")\nif isinstance(data, dict):\n    print(data.keys())\n    for k,v in data.items():\n        if isinstance(v, list):\n            print(k, len(v))\n            data=v\n            break\nposts=data if isinstance(data, list) else []\nprint(\"n posts\", len(posts))\nif posts:\n    print(\"sample keys\", posts[0].keys())\n    times=[]\n    for p in posts:\n        t=p.get(\"createdAt\") or p.get(\"created_at\")\n        times.append(t)\n    times_sorted=sorted(times)\n    print(\"first\", times_sorted[0], \"last\", times_sorted[-1])\n    # hourly buckets ET\n    from collections import Counter\n    c=Counter()\n    start=datetime.fromisoformat(\"2026-10-08T16:00:00+00:00\")\n    end=datetime.fromisoformat(\"2026-10-10T15:59:59+00:00\")\n    n_in=0\n    replies=0\n    for p in posts:\n        t=datetime.fromisoformat(p[\"createdAt\"].replace(\"Z\",\"+00:00\"))\n        if start <= t <= end:\n            n_in += 1\n            content=p.get(\"content\") or \"\"\n            # replies often start with @\n            if content.startswith(\"@\") and not content.startswith(\"RT \"):\n                replies += 1\n            hour=t.strftime(\"%Y-%m-%d %H\")\n            c[hour]+=1\n    print(\"in window\", n_in, \"possible replies\", replies)\n    for h in sorted(c):\n        print(h, c[h])\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-5e922a08-ad6a-4bea-8014-1cc6347cefbd-8","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"dict_keys(['success', 'data'])\ndict_keys(['id', 'userId', 'title', 'startDate', 'endDate', 'target', 'marketLink', 'isActive', 'metrics', 'config', 'createdAt', 'updatedAt', 'user', 'stats'])\ntitle Elon Musk # tweets October 8 - October 10, 2026?\nstats keys dict_keys(['total', 'cumulative', 'pace', 'percentComplete', 'daysElapsed', 'daysRemaining', 'daysTotal', 'isComplete', 'daily'])\n{\n  \"total\": 62,\n  \"cumulative\": 62,\n  \"pace\": 124,\n  \"percentComplete\": 50,\n  \"daysElapsed\": 1,\n  \"daysRemaining\": 2,\n  \"daysTotal\": 2,\n  \"isComplete\": false\n}\ndaily <class 'list'> 24\n[{\"date\": \"2026-10-08T16:00:00.000Z\", \"count\": 7, \"cumulative\": 7}, {\"date\": \"2026-10-08T17:00:00.000Z\", \"count\": 2, \"cumulative\": 9}, {\"date\": \"2026-10-08T18:00:00.000Z\", \"count\": 9, \"cumulative\": 18}, {\"date\": \"2026-10-08T19:00:00.000Z\", \"count\": 1, \"cumulative\": 19}, {\"date\": \"2026-10-08T20:00:00.000Z\", \"count\": 18, \"cumulative\": 37}, {\"date\": \"2026-10-08T21:00:00.000Z\", \"count\": 10, \"cumulative\": 47}, {\"date\": \"2026-10-08T22:00:00.000Z\", \"count\": 5, \"cumulative\": 52}, {\"date\": \"2026-10-08T23:00:00.000Z\", \"count\": 2, \"cumulative\": 54}, {\"date\": \"2026-10-09T00:00:00.000Z\", \"count\": 2, \"cumulative\": 56}, {\"date\": \"2026-10-09T01:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T02:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T03:00:00.000Z\", \"count\": 3, \"cumulative\": 59}, {\"date\": \"2026-10-09T04:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T05:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T06:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T07:00:00.000Z\", \"count\": 1, \"cumulative\": 60}, {\"date\": \"2026-10-09T08:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T09:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T10:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T11:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T12:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T13:00:00.000Z\", \"count\": 1, \"cumulative\": 61}, {\"date\": \"2026-10-09T14:00:00.000Z\", \"count\": 1, \"cumulative\": 62}, {\"date\": \"2026-10-09T15:00:00.000Z\", \"count\": 0, \"cumulative\": 62}]\n==== POSTS COUNT ====\n"}}],"rawOutput":{"type":"Bash","output":[100,105,99,116,95,107,101,121,115,40,91,39,115,117,99,99,101,115,115,39,44,32,39,100,97,116,97,39,93,41,10,100,105,99,116,95,107,101,121,115,40,91,39,105,100,39,44,32,39,117,115,101,114,73,100,39,44,32,39,116,105,116,108,101,39,44,32,39,115,116,97,114,116,68,97,116,101,39,44,32,39,101,110,100,68,97,116,101,39,44,32,39,116,97,114,103,101,116,39,44,32,39,109,97,114,107,101,116,76,105,110,107,39,44,32,39,105,115,65,99,116,105,118,101,39,44,32,39,109,101,116,114,105,99,115,39,44,32,39,99,111,110,102,105,103,39,44,32,39,99,114,101,97,116,101,100,65,116,39,44,32,39,117,112,100,97,116,101,100,65,116,39,44,32,39,117,115,101,114,39,44,32,39,115,116,97,116,115,39,93,41,10,116,105,116,108,101,32,69,108,111,110,32,77,117,115,107,32,35,32,116,119,101,101,116,115,32,79,99,116,111,98,101,114,32,56,32,45,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,10,115,116,97,116,115,32,107,101,121,115,32,100,105,99,116,95,107,101,121,115,40,91,39,116,111,116,97,108,39,44,32,39,99,117,109,117,108,97,116,105,118,101,39,44,32,39,112,97,99,101,39,44,32,39,112,101,114,99,101,110,116,67,111,109,112,108,101,116,101,39,44,32,39,100,97,121,115,69,108,97,112,115,101,100,39,44,32,39,100,97,121,115,82,101,109,97,105,110,105,110,103,39,44,32,39,100,97,121,115,84,111,116,97,108,39,44,32,39,105,115,67,111,109,112,108,101,116,101,39,44,32,39,100,97,105,108,121,39,93,41,10,123,10,32,32,34,116,111,116,97,108,34,58,32,54,50,44,10,32,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,54,50,44,10,32,32,34,112,97,99,101,34,58,32,49,50,52,44,10,32,32,34,112,101,114,99,101,110,116,67,111,109,112,108,101,116,101,34,58,32,53,48,44,10,32,32,34,100,97,121,115,69,108,97,112,115,101,100,34,58,32,49,44,10,32,32,34,100,97,121,115,82,101,109,97,105,110,105,110,103,34,58,32,50,44,10,32,32,34,100,97,121,115,84,111,116,97,108,34,58,32,50,44,10,32,32,34,105,115,67,111,109,112,108,101,116,101,34,58,32,102,97,108,115,101,10,125,10,100,97,105,108,121,32,60,99,108,97,115,115,32,39,108,105,115,116,39,62,32,50,52,10,91,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,54,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,55,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,55,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,56,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,57,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,49,56,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,57,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,49,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,48,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,56,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,51,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,49,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,52,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,50,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,53,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,50,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,51,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,52,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,48,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,49,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,50,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,51,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,51,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,52,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,53,58,48,48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'data'])\ndict_keys(['id', 'userId', 'title', 'startDate', 'endDate', 'target', 'marketLink', 'isActive', 'metrics', 'config', 'createdAt', 'updatedAt', 'user', 'stats'])\ntitle Elon Musk # tweets October 8 - October 10, 2026?\nstats keys dict_keys(['total', 'cumulative', 'pace', 'percentComplete', 'daysElapsed', 'daysRemaining', 'daysTotal', 'isComplete', 'daily'])\n{\n  \"total\": 62,\n  \"cumulative\": 62,\n  \"pace\": 124,\n  \"percentComplete\": 50,\n  \"daysElapsed\": 1,\n  \"daysRemaining\": 2,\n  \"daysTotal\": 2,\n  \"isComplete\": false\n}\ndaily <class 'list'> 24\n[{\"date\": \"2026-10-08T16:00:00.000Z\", \"count\": 7, \"cumulative\": 7}, {\"date\": \"2026-10-08T17:00:00.000Z\", \"count\": 2, \"cumulative\": 9}, {\"date\": \"2026-10-08T18:00:00.000Z\", \"count\": 9, \"cumulative\": 18}, {\"date\": \"2026-10-08T19:00:00.000Z\", \"count\": 1, \"cumulative\": 19}, {\"date\": \"2026-10-08T20:00:00.000Z\", \"count\": 18, \"cumulative\": 37}, {\"date\": \"2026-10-08T21:00:00.000Z\", \"count\": 10, \"cumulative\": 47}, {\"date\": \"2026-10-08T22:00:00.000Z\", \"count\": 5, \"cumulative\": 52}, {\"date\": \"2026-10-08T23:00:00.000Z\", \"count\": 2, \"cumulative\": 54}, {\"date\": \"2026-10-09T00:00:00.000Z\", \"count\": 2, \"cumulative\": 56}, {\"date\": \"2026-10-09T01:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T02:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T03:00:00.000Z\", \"count\": 3, \"cumulative\": 59}, {\"date\": \"2026-10-09T04:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T05:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T06:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T07:00:00.000Z\", \"count\": 1, \"cumulative\": 60}, {\"date\": \"2026-10-09T08:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T09:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T10:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T11:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T12:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T13:00:00.000Z\", \"count\": 1, \"cumulative\": 61}, {\"date\": \"2026-10-09T14:00:00.000Z\", \"count\": 1, \"cumulative\": 62}, {\"date\": \"2026-10-09T15:00:00.000Z\", \"count\": 0, \"cumulative\": 62}]\n==== POSTS COUNT ====\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/trackings/97b128a4-e033-44d7-afd1-039106cf74f2?includeStats=true\" -o /tmp/tracking.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/tracking.json\"))\nprint(d.keys())\ndata=d.get(\"data\", d)\nprint(data.keys() if isinstance(data, dict) else type(data))\nstats=data.get(\"stats\") if isinstance(data, dict) else None\nprint(\"title\", data.get(\"title\") if isinstance(data, dict) else None)\nif stats:\n    print(\"stats keys\", stats.keys())\n    compact={k:v for k,v in stats.items() if k not in (\"daily\",\"posts\",\"hourly\")}\n    print(json.dumps(compact, indent=2)[:4000])\n    for k in (\"daily\",\"hourly\",\"posts\"):\n        if k in stats:\n            v=stats[k]\n            print(k, type(v), len(v) if hasattr(v,\"__len__\") else \"\")\n            print(json.dumps(v)[:3000])\nelse:\n    print(json.dumps(data)[:2000])\nPY\necho \"==== POSTS COUNT ====\"\ncurl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-10-08T16:00:00.000Z&endDate=2026-10-10T16:00:00.000Z\" -o /tmp/posts.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timezone\nraw=open(\"/tmp/posts.json\").read()\nprint(\"len\", len(raw))\nd=json.loads(raw)\ndata=d.get(\"data\", d) if isinstance(d, dict) else d\nprint(type(data), len(data) if hasattr(data,\"__len__\") else \"\")\nif isinstance(data, dict):\n    print(data.keys())\n    for k,v in data.items():\n        if isinstance(v, list):\n            print(k, len(v))\n            data=v\n            break\nposts=data if isinstance(data, list) else []\nprint(\"n posts\", len(posts))\nif posts:\n    print(\"sample keys\", posts[0].keys())\n    times=[]\n    for p in posts:\n        t=p.get(\"createdAt\") or p.get(\"created_at\")\n        times.append(t)\n    times_sorted=sorted(times)\n    print(\"first\", times_sorted[0], \"last\", times_sorted[-1])\n    # hourly buckets ET\n    from collections import Counter\n    c=Counter()\n    start=datetime.fromisoformat(\"2026-10-08T16:00:00+00:00\")\n    end=datetime.fromisoformat(\"2026-10-10T15:59:59+00:00\")\n    n_in=0\n    replies=0\n    for p in posts:\n        t=datetime.fromisoformat(p[\"createdAt\"].replace(\"Z\",\"+00:00\"))\n        if start <= t <= end:\n            n_in += 1\n            content=p.get(\"content\") or \"\"\n            # replies often start with @\n            if content.startswith(\"@\") and not content.startswith(\"RT \"):\n                replies += 1\n            hour=t.strftime(\"%Y-%m-%d %H\")\n            c[hour]+=1\n    print(\"in window\", n_in, \"possible replies\", replies)\n    for h in sorted(c):\n        print(h, c[h])\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":2228},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-5e922a08-ad6a-4bea-8014-1cc6347cefbd-8","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"dict_keys(['success', 'data'])\ndict_keys(['id', 'userId', 'title', 'startDate', 'endDate', 'target', 'marketLink', 'isActive', 'metrics', 'config', 'createdAt', 'updatedAt', 'user', 'stats'])\ntitle Elon Musk # tweets October 8 - October 10, 2026?\nstats keys dict_keys(['total', 'cumulative', 'pace', 'percentComplete', 'daysElapsed', 'daysRemaining', 'daysTotal', 'isComplete', 'daily'])\n{\n  \"total\": 62,\n  \"cumulative\": 62,\n  \"pace\": 124,\n  \"percentComplete\": 50,\n  \"daysElapsed\": 1,\n  \"daysRemaining\": 2,\n  \"daysTotal\": 2,\n  \"isComplete\": false\n}\ndaily <class 'list'> 24\n[{\"date\": \"2026-10-08T16:00:00.000Z\", \"count\": 7, \"cumulative\": 7}, {\"date\": \"2026-10-08T17:00:00.000Z\", \"count\": 2, \"cumulative\": 9}, {\"date\": \"2026-10-08T18:00:00.000Z\", \"count\": 9, \"cumulative\": 18}, {\"date\": \"2026-10-08T19:00:00.000Z\", \"count\": 1, \"cumulative\": 19}, {\"date\": \"2026-10-08T20:00:00.000Z\", \"count\": 18, \"cumulative\": 37}, {\"date\": \"2026-10-08T21:00:00.000Z\", \"count\": 10, \"cumulative\": 47}, {\"date\": \"2026-10-08T22:00:00.000Z\", \"count\": 5, \"cumulative\": 52}, {\"date\": \"2026-10-08T23:00:00.000Z\", \"count\": 2, \"cumulative\": 54}, {\"date\": \"2026-10-09T00:00:00.000Z\", \"count\": 2, \"cumulative\": 56}, {\"date\": \"2026-10-09T01:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T02:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T03:00:00.000Z\", \"count\": 3, \"cumulative\": 59}, {\"date\": \"2026-10-09T04:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T05:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T06:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T07:00:00.000Z\", \"count\": 1, \"cumulative\": 60}, {\"date\": \"2026-10-09T08:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T09:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T10:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T11:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T12:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T13:00:00.000Z\", \"count\": 1, \"cumulative\": 61}, {\"date\": \"2026-10-09T14:00:00.000Z\", \"count\": 1, \"cumulative\": 62}, {\"date\": \"2026-10-09T15:00:00.000Z\", \"count\": 0, \"cumulative\": 62}]\n==== POSTS COUNT ====\nlen 34123\n<class 'list'> 62\nn posts 62\nsample keys dict_keys(['id', 'userId', 'platformId', 'content', 'createdAt', 'importedAt', 'metrics'])\nfirst 2026-10-08T16:23:15.000Z last 2026-10-09T14:33:28.000Z\nin window 62 possible replies 0\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n"}}],"rawOutput":{"type":"Bash","output":[100,105,99,116,95,107,101,121,115,40,91,39,115,117,99,99,101,115,115,39,44,32,39,100,97,116,97,39,93,41,10,100,105,99,116,95,107,101,121,115,40,91,39,105,100,39,44,32,39,117,115,101,114,73,100,39,44,32,39,116,105,116,108,101,39,44,32,39,115,116,97,114,116,68,97,116,101,39,44,32,39,101,110,100,68,97,116,101,39,44,32,39,116,97,114,103,101,116,39,44,32,39,109,97,114,107,101,116,76,105,110,107,39,44,32,39,105,115,65,99,116,105,118,101,39,44,32,39,109,101,116,114,105,99,115,39,44,32,39,99,111,110,102,105,103,39,44,32,39,99,114,101,97,116,101,100,65,116,39,44,32,39,117,112,100,97,116,101,100,65,116,39,44,32,39,117,115,101,114,39,44,32,39,115,116,97,116,115,39,93,41,10,116,105,116,108,101,32,69,108,111,110,32,77,117,115,107,32,35,32,116,119,101,101,116,115,32,79,99,116,111,98,101,114,32,56,32,45,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,10,115,116,97,116,115,32,107,101,121,115,32,100,105,99,116,95,107,101,121,115,40,91,39,116,111,116,97,108,39,44,32,39,99,117,109,117,108,97,116,105,118,101,39,44,32,39,112,97,99,101,39,44,32,39,112,101,114,99,101,110,116,67,111,109,112,108,101,116,101,39,44,32,39,100,97,121,115,69,108,97,112,115,101,100,39,44,32,39,100,97,121,115,82,101,109,97,105,110,105,110,103,39,44,32,39,100,97,121,115,84,111,116,97,108,39,44,32,39,105,115,67,111,109,112,108,101,116,101,39,44,32,39,100,97,105,108,121,39,93,41,10,123,10,32,32,34,116,111,116,97,108,34,58,32,54,50,44,10,32,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,54,50,44,10,32,32,34,112,97,99,101,34,58,32,49,50,52,44,10,32,32,34,112,101,114,99,101,110,116,67,111,109,112,108,101,116,101,34,58,32,53,48,44,10,32,32,34,100,97,121,115,69,108,97,112,115,101,100,34,58,32,49,44,10,32,32,34,100,97,121,115,82,101,109,97,105,110,105,110,103,34,58,32,50,44,10,32,32,34,100,97,121,115,84,111,116,97,108,34,58,32,50,44,10,32,32,34,105,115,67,111,109,112,108,101,116,101,34,58,32,102,97,108,115,101,10,125,10,100,97,105,108,121,32,60,99,108,97,115,115,32,39,108,105,115,116,39,62,32,50,52,10,91,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,54,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,55,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,55,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,56,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,57,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,49,56,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,57,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,49,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,48,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,56,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,51,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,49,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,52,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,50,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,53,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,50,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,51,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,52,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,48,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,49,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,50,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,51,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,51,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,52,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,53,58,48,48,58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'data'])\ndict_keys(['id', 'userId', 'title', 'startDate', 'endDate', 'target', 'marketLink', 'isActive', 'metrics', 'config', 'createdAt', 'updatedAt', 'user', 'stats'])\ntitle Elon Musk # tweets October 8 - October 10, 2026?\nstats keys dict_keys(['total', 'cumulative', 'pace', 'percentComplete', 'daysElapsed', 'daysRemaining', 'daysTotal', 'isComplete', 'daily'])\n{\n  \"total\": 62,\n  \"cumulative\": 62,\n  \"pace\": 124,\n  \"percentComplete\": 50,\n  \"daysElapsed\": 1,\n  \"daysRemaining\": 2,\n  \"daysTotal\": 2,\n  \"isComplete\": false\n}\ndaily <class 'list'> 24\n[{\"date\": \"2026-10-08T16:00:00.000Z\", \"count\": 7, \"cumulative\": 7}, {\"date\": \"2026-10-08T17:00:00.000Z\", \"count\": 2, \"cumulative\": 9}, {\"date\": \"2026-10-08T18:00:00.000Z\", \"count\": 9, \"cumulative\": 18}, {\"date\": \"2026-10-08T19:00:00.000Z\", \"count\": 1, \"cumulative\": 19}, {\"date\": \"2026-10-08T20:00:00.000Z\", \"count\": 18, \"cumulative\": 37}, {\"date\": \"2026-10-08T21:00:00.000Z\", \"count\": 10, \"cumulative\": 47}, {\"date\": \"2026-10-08T22:00:00.000Z\", \"count\": 5, \"cumulative\": 52}, {\"date\": \"2026-10-08T23:00:00.000Z\", \"count\": 2, \"cumulative\": 54}, {\"date\": \"2026-10-09T00:00:00.000Z\", \"count\": 2, \"cumulative\": 56}, {\"date\": \"2026-10-09T01:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T02:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T03:00:00.000Z\", \"count\": 3, \"cumulative\": 59}, {\"date\": \"2026-10-09T04:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T05:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T06:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T07:00:00.000Z\", \"count\": 1, \"cumulative\": 60}, {\"date\": \"2026-10-09T08:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T09:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T10:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T11:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T12:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T13:00:00.000Z\", \"count\": 1, \"cumulative\": 61}, {\"date\": \"2026-10-09T14:00:00.000Z\", \"count\": 1, \"cumulative\": 62}, {\"date\": \"2026-10-09T15:00:00.000Z\", \"count\": 0, \"cumulative\": 62}]\n==== POSTS COUNT ====\nlen 34123\n<class 'list'> 62\nn posts 62\nsample keys dict_keys(['id', 'userId', 'platformId', 'content', 'createdAt', 'importedAt', 'metrics'])\nfirst 2026-10-08T16:23:15.000Z last 2026-10-09T14:33:28.000Z\nin window 62 possible replies 0\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/trackings/97b128a4-e033-44d7-afd1-039106cf74f2?includeStats=true\" -o /tmp/tracking.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/tracking.json\"))\nprint(d.keys())\ndata=d.get(\"data\", d)\nprint(data.keys() if isinstance(data, dict) else type(data))\nstats=data.get(\"stats\") if isinstance(data, dict) else None\nprint(\"title\", data.get(\"title\") if isinstance(data, dict) else None)\nif stats:\n    print(\"stats keys\", stats.keys())\n    compact={k:v for k,v in stats.items() if k not in (\"daily\",\"posts\",\"hourly\")}\n    print(json.dumps(compact, indent=2)[:4000])\n    for k in (\"daily\",\"hourly\",\"posts\"):\n        if k in stats:\n            v=stats[k]\n            print(k, type(v), len(v) if hasattr(v,\"__len__\") else \"\")\n            print(json.dumps(v)[:3000])\nelse:\n    print(json.dumps(data)[:2000])\nPY\necho \"==== POSTS COUNT ====\"\ncurl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-10-08T16:00:00.000Z&endDate=2026-10-10T16:00:00.000Z\" -o /tmp/posts.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timezone\nraw=open(\"/tmp/posts.json\").read()\nprint(\"len\", len(raw))\nd=json.loads(raw)\ndata=d.get(\"data\", d) if isinstance(d, dict) else d\nprint(type(data), len(data) if hasattr(data,\"__len__\") else \"\")\nif isinstance(data, dict):\n    print(data.keys())\n    for k,v in data.items():\n        if isinstance(v, list):\n            print(k, len(v))\n            data=v\n            break\nposts=data if isinstance(data, list) else []\nprint(\"n posts\", len(posts))\nif posts:\n    print(\"sample keys\", posts[0].keys())\n    times=[]\n    for p in posts:\n        t=p.get(\"createdAt\") or p.get(\"created_at\")\n        times.append(t)\n    times_sorted=sorted(times)\n    print(\"first\", times_sorted[0], \"last\", times_sorted[-1])\n    # hourly buckets ET\n    from collections import Counter\n    c=Counter()\n    start=datetime.fromisoformat(\"2026-10-08T16:00:00+00:00\")\n    end=datetime.fromisoformat(\"2026-10-10T15:59:59+00:00\")\n    n_in=0\n    replies=0\n    for p in posts:\n        t=datetime.fromisoformat(p[\"createdAt\"].replace(\"Z\",\"+00:00\"))\n        if start <= t <= end:\n            n_in += 1\n            content=p.get(\"content\") or \"\"\n            # replies often start with @\n            if content.startswith(\"@\") and not content.startswith(\"RT \"):\n                replies += 1\n            hour=t.strftime(\"%Y-%m-%d %H\")\n            c[hour]+=1\n    print(\"in window\", n_in, \"possible replies\", replies)\n    for h in sorted(c):\n        print(h, c[h])\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":2673},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-5e922a08-ad6a-4bea-8014-1cc6347cefbd-8","status":"completed","content":[{"type":"content","content":{"type":"text","text":"dict_keys(['success', 'data'])\ndict_keys(['id', 'userId', 'title', 'startDate', 'endDate', 'target', 'marketLink', 'isActive', 'metrics', 'config', 'createdAt', 'updatedAt', 'user', 'stats'])\ntitle Elon Musk # tweets October 8 - October 10, 2026?\nstats keys dict_keys(['total', 'cumulative', 'pace', 'percentComplete', 'daysElapsed', 'daysRemaining', 'daysTotal', 'isComplete', 'daily'])\n{\n  \"total\": 62,\n  \"cumulative\": 62,\n  \"pace\": 124,\n  \"percentComplete\": 50,\n  \"daysElapsed\": 1,\n  \"daysRemaining\": 2,\n  \"daysTotal\": 2,\n  \"isComplete\": false\n}\ndaily <class 'list'> 24\n[{\"date\": \"2026-10-08T16:00:00.000Z\", \"count\": 7, \"cumulative\": 7}, {\"date\": \"2026-10-08T17:00:00.000Z\", \"count\": 2, \"cumulative\": 9}, {\"date\": \"2026-10-08T18:00:00.000Z\", \"count\": 9, \"cumulative\": 18}, {\"date\": \"2026-10-08T19:00:00.000Z\", \"count\": 1, \"cumulative\": 19}, {\"date\": \"2026-10-08T20:00:00.000Z\", \"count\": 18, \"cumulative\": 37}, {\"date\": \"2026-10-08T21:00:00.000Z\", \"count\": 10, \"cumulative\": 47}, {\"date\": \"2026-10-08T22:00:00.000Z\", \"count\": 5, \"cumulative\": 52}, {\"date\": \"2026-10-08T23:00:00.000Z\", \"count\": 2, \"cumulative\": 54}, {\"date\": \"2026-10-09T00:00:00.000Z\", \"count\": 2, \"cumulative\": 56}, {\"date\": \"2026-10-09T01:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T02:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T03:00:00.000Z\", \"count\": 3, \"cumulative\": 59}, {\"date\": \"2026-10-09T04:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T05:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T06:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T07:00:00.000Z\", \"count\": 1, \"cumulative\": 60}, {\"date\": \"2026-10-09T08:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T09:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T10:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T11:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T12:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T13:00:00.000Z\", \"count\": 1, \"cumulative\": 61}, {\"date\": \"2026-10-09T14:00:00.000Z\", \"count\": 1, \"cumulative\": 62}, {\"date\": \"2026-10-09T15:00:00.000Z\", \"count\": 0, \"cumulative\": 62}]\n==== POSTS COUNT ====\nlen 34123\n<class 'list'> 62\nn posts 62\nsample keys dict_keys(['id', 'userId', 'platformId', 'content', 'createdAt', 'importedAt', 'metrics'])\nfirst 2026-10-08T16:23:15.000Z last 2026-10-09T14:33:28.000Z\nin window 62 possible replies 0\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n"}}],"rawOutput":{"type":"Bash","output":[100,105,99,116,95,107,101,121,115,40,91,39,115,117,99,99,101,115,115,39,44,32,39,100,97,116,97,39,93,41,10,100,105,99,116,95,107,101,121,115,40,91,39,105,100,39,44,32,39,117,115,101,114,73,100,39,44,32,39,116,105,116,108,101,39,44,32,39,115,116,97,114,116,68,97,116,101,39,44,32,39,101,110,100,68,97,116,101,39,44,32,39,116,97,114,103,101,116,39,44,32,39,109,97,114,107,101,116,76,105,110,107,39,44,32,39,105,115,65,99,116,105,118,101,39,44,32,39,109,101,116,114,105,99,115,39,44,32,39,99,111,110,102,105,103,39,44,32,39,99,114,101,97,116,101,100,65,116,39,44,32,39,117,112,100,97,116,101,100,65,116,39,44,32,39,117,115,101,114,39,44,32,39,115,116,97,116,115,39,93,41,10,116,105,116,108,101,32,69,108,111,110,32,77,117,115,107,32,35,32,116,119,101,101,116,115,32,79,99,116,111,98,101,114,32,56,32,45,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,10,115,116,97,116,115,32,107,101,121,115,32,100,105,99,116,95,107,101,121,115,40,91,39,116,111,116,97,108,39,44,32,39,99,117,109,117,108,97,116,105,118,101,39,44,32,39,112,97,99,101,39,44,32,39,112,101,114,99,101,110,116,67,111,109,112,108,101,116,101,39,44,32,39,100,97,121,115,69,108,97,112,115,101,100,39,44,32,39,100,97,121,115,82,101,109,97,105,110,105,110,103,39,44,32,39,100,97,121,115,84,111,116,97,108,39,44,32,39,105,115,67,111,109,112,108,101,116,101,39,44,32,39,100,97,105,108,121,39,93,41,10,123,10,32,32,34,116,111,116,97,108,34,58,32,54,50,44,10,32,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,54,50,44,10,32,32,34,112,97,99,101,34,58,32,49,50,52,44,10,32,32,34,112,101,114,99,101,110,116,67,111,109,112,108,101,116,101,34,58,32,53,48,44,10,32,32,34,100,97,121,115,69,108,97,112,115,101,100,34,58,32,49,44,10,32,32,34,100,97,121,115,82,101,109,97,105,110,105,110,103,34,58,32,50,44,10,32,32,34,100,97,121,115,84,111,116,97,108,34,58,32,50,44,10,32,32,34,105,115,67,111,109,112,108,101,116,101,34,58,32,102,97,108,115,101,10,125,10,100,97,105,108,121,32,60,99,108,97,115,115,32,39,108,105,115,116,39,62,32,50,52,10,91,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,54,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,55,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,55,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,56,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,57,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,49,56,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,49,57,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,49,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,48,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,56,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,51,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,49,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,49,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,52,55,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,50,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,53,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,50,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,56,84,50,51,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,52,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,48,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,50,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,49,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,50,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,54,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,51,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,51,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,52,58,48,48,58,48,48,46,48,48,48,90,34,44,32,34,99,111,117,110,116,34,58,32,48,44,32,34,99,117,109,117,108,97,116,105,118,101,34,58,32,53,57,125,44,32,123,34,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,48,57,84,48,53,58,48,48,58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0\ndict_keys(['success', 'data'])\ndict_keys(['id', 'userId', 'title', 'startDate', 'endDate', 'target', 'marketLink', 'isActive', 'metrics', 'config', 'createdAt', 'updatedAt', 'user', 'stats'])\ntitle Elon Musk # tweets October 8 - October 10, 2026?\nstats keys dict_keys(['total', 'cumulative', 'pace', 'percentComplete', 'daysElapsed', 'daysRemaining', 'daysTotal', 'isComplete', 'daily'])\n{\n  \"total\": 62,\n  \"cumulative\": 62,\n  \"pace\": 124,\n  \"percentComplete\": 50,\n  \"daysElapsed\": 1,\n  \"daysRemaining\": 2,\n  \"daysTotal\": 2,\n  \"isComplete\": false\n}\ndaily <class 'list'> 24\n[{\"date\": \"2026-10-08T16:00:00.000Z\", \"count\": 7, \"cumulative\": 7}, {\"date\": \"2026-10-08T17:00:00.000Z\", \"count\": 2, \"cumulative\": 9}, {\"date\": \"2026-10-08T18:00:00.000Z\", \"count\": 9, \"cumulative\": 18}, {\"date\": \"2026-10-08T19:00:00.000Z\", \"count\": 1, \"cumulative\": 19}, {\"date\": \"2026-10-08T20:00:00.000Z\", \"count\": 18, \"cumulative\": 37}, {\"date\": \"2026-10-08T21:00:00.000Z\", \"count\": 10, \"cumulative\": 47}, {\"date\": \"2026-10-08T22:00:00.000Z\", \"count\": 5, \"cumulative\": 52}, {\"date\": \"2026-10-08T23:00:00.000Z\", \"count\": 2, \"cumulative\": 54}, {\"date\": \"2026-10-09T00:00:00.000Z\", \"count\": 2, \"cumulative\": 56}, {\"date\": \"2026-10-09T01:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T02:00:00.000Z\", \"count\": 0, \"cumulative\": 56}, {\"date\": \"2026-10-09T03:00:00.000Z\", \"count\": 3, \"cumulative\": 59}, {\"date\": \"2026-10-09T04:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T05:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T06:00:00.000Z\", \"count\": 0, \"cumulative\": 59}, {\"date\": \"2026-10-09T07:00:00.000Z\", \"count\": 1, \"cumulative\": 60}, {\"date\": \"2026-10-09T08:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T09:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T10:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T11:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T12:00:00.000Z\", \"count\": 0, \"cumulative\": 60}, {\"date\": \"2026-10-09T13:00:00.000Z\", \"count\": 1, \"cumulative\": 61}, {\"date\": \"2026-10-09T14:00:00.000Z\", \"count\": 1, \"cumulative\": 62}, {\"date\": \"2026-10-09T15:00:00.000Z\", \"count\": 0, \"cumulative\": 62}]\n==== POSTS COUNT ====\nlen 34123\n<class 'list'> 62\nn posts 62\nsample keys dict_keys(['id', 'userId', 'platformId', 'content', 'createdAt', 'importedAt', 'metrics'])\nfirst 2026-10-08T16:23:15.000Z last 2026-10-09T14:33:28.000Z\nin window 62 possible replies 0\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/trackings/97b128a4-e033-44d7-afd1-039106cf74f2?includeStats=true\" -o /tmp/tracking.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/tracking.json\"))\nprint(d.keys())\ndata=d.get(\"data\", d)\nprint(data.keys() if isinstance(data, dict) else type(data))\nstats=data.get(\"stats\") if isinstance(data, dict) else None\nprint(\"title\", data.get(\"title\") if isinstance(data, dict) else None)\nif stats:\n    print(\"stats keys\", stats.keys())\n    compact={k:v for k,v in stats.items() if k not in (\"daily\",\"posts\",\"hourly\")}\n    print(json.dumps(compact, indent=2)[:4000])\n    for k in (\"daily\",\"hourly\",\"posts\"):\n        if k in stats:\n            v=stats[k]\n            print(k, type(v), len(v) if hasattr(v,\"__len__\") else \"\")\n            print(json.dumps(v)[:3000])\nelse:\n    print(json.dumps(data)[:2000])\nPY\necho \"==== POSTS COUNT ====\"\ncurl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-10-08T16:00:00.000Z&endDate=2026-10-10T16:00:00.000Z\" -o /tmp/posts.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timezone\nraw=open(\"/tmp/posts.json\").read()\nprint(\"len\", len(raw))\nd=json.loads(raw)\ndata=d.get(\"data\", d) if isinstance(d, dict) else d\nprint(type(data), len(data) if hasattr(data,\"__len__\") else \"\")\nif isinstance(data, dict):\n    print(data.keys())\n    for k,v in data.items():\n        if isinstance(v, list):\n            print(k, len(v))\n            data=v\n            break\nposts=data if isinstance(data, list) else []\nprint(\"n posts\", len(posts))\nif posts:\n    print(\"sample keys\", posts[0].keys())\n    times=[]\n    for p in posts:\n        t=p.get(\"createdAt\") or p.get(\"created_at\")\n        times.append(t)\n    times_sorted=sorted(times)\n    print(\"first\", times_sorted[0], \"last\", times_sorted[-1])\n    # hourly buckets ET\n    from collections import Counter\n    c=Counter()\n    start=datetime.fromisoformat(\"2026-10-08T16:00:00+00:00\")\n    end=datetime.fromisoformat(\"2026-10-10T15:59:59+00:00\")\n    n_in=0\n    replies=0\n    for p in posts:\n        t=datetime.fromisoformat(p[\"createdAt\"].replace(\"Z\",\"+00:00\"))\n        if start <= t <= end:\n            n_in += 1\n            content=p.get(\"content\") or \"\"\n            # replies often start with @\n            if content.startswith(\"@\") and not content.startswith(\"RT \"):\n                replies += 1\n            hour=t.strftime(\"%Y-%m-%d %H\")\n            c[hour]+=1\n    print(\"in window\", n_in, \"possible replies\", replies)\n    for h in sorted(c):\n        print(h, c[h])\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":"Get Oct 8-10 tracking stats and post counts","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-5e922a08-ad6a-4bea-8014-1cc6347cefbd-8.log","total_bytes":2673},"locations":[]}
{"type":"thought","data":"The current time is "}
{"type":"thought","data":"15:26 UTC on October"}
{"type":"thought","data":" 9, 2026."}
{"type":"thought","data":"\n\nThe market window "}
{"type":"thought","data":"runs from October 8 "}
{"type":"thought","data":"to October 10. About"}
{"type":"thought","data":" 23.5 hours have elapsed,"}
{"type":"thought","data":" so the market is roughly"}
{"type":"thought","data":" half complete."}
{"type":"thought","data":"\n\nThe tracker shows "}
{"type":"thought","data":"62 posts so far. At "}
{"type":"thought","data":"the current pace of "}
{"type":"thought","data":"roughly 2.65 posts per"}
{"type":"thought","data":" hour, he would reach"}
{"type":"thought","data":" about 124 total by "}
{"type":"thought","data":"the close. That exceeds"}
{"type":"thought","data":" the 89-post ceiling"}
{"type":"thought","data":" for the YES outcome."}
{"type":"thought","data":" The market is therefore"}
{"type":"thought","data":" unlikely to resolve"}
{"type":"thought","data":" in favor of YES."}
{"type":"thought","data":"\n\nThe posting pattern"}
{"type":"thought","data":" is heavily front-loaded."}
{"type":"thought","data":" October 8 saw 54 posts"}
{"type":"thought","data":" in the first eight "}
{"type":"thought","data":"hours, but October 9"}
{"type":"thought","data":" has only produced 8"}
{"type":"thought","data":" posts across roughly"}
{"type":"thought","data":" fifteen hours. That"}
{"type":"thought","data":" sharp drop-off makes"}
{"type":"thought","data":" the earlier pace projection"}
{"type":"thought","data":" even more unreliable."}
{"type":"thought","data":"\n\nThe quiet period since"}
{"type":"thought","data":" 8pm ET last night is"}
{"type":"thought","data":" a key factor. If he"}
{"type":"thought","data":" resumes his afternoon"}
{"type":"thought","data":" posting pattern, the"}
{"type":"thought","data":" total could reach 100-120"}
{"type":"thought","data":" by close. If he stays"}
{"type":"thought","data":" silent, the total would"}
{"type":"thought","data":" land near 74, which"}
{"type":"thought","data":" fits the 65-89 range."}
{"type":"thought","data":"\n\nPolymarket data shows"}
{"type":"thought","data":" the 65-89 bucket is"}
{"type":"thought","data":" priced at 25 cents,"}
{"type":"thought","data":" while 90-114 is 52 "}
{"type":"thought","data":"cents. The YES and NO"}
{"type":"thought","data":" prices of 0.25 and "}
{"type":"thought","data":"0.75 match this distribution,"}
{"type":"thought","data":" so the market appears"}
{"type":"thought","data":" fairly priced. I am"}
{"type":"thought","data":" now searching for historical"}
{"type":"thought","data":" posting patterns to"}
{"type":"thought","data":" find an edge."}
{"type":"thought","data":"\n\nRecent history shows"}
{"type":"thought","data":" 2-day windows frequently"}
{"type":"thought","data":" settle in the 65-89"}
{"type":"thought","data":" range. The current "}
{"type":"thought","data":"48-hour window is therefore"}
{"type":"thought","data":" a strong candidate "}
{"type":"thought","data":"for that same outcome."}
{"type":"thought","data":" If he repeats his afternoon"}
{"type":"thought","data":" burst from yesterday,"}
{"type":"thought","data":" the total could easily"}
{"type":"thought","data":" exceed 100 posts."}
{"type":"thought","data":"\n\nYesterday's 12pm-to-midnight"}
{"type":"thought","data":" ET burst produced 59"}
{"type":"thought","data":" posts. The overnight"}
{"type":"thought","data":" and morning hours added"}
{"type":"thought","data":" only three more. That"}
{"type":"thought","data":" extreme front-loading"}
{"type":"thought","data":" makes a repeat burst"}
{"type":"thought","data":" in the remaining window"}
{"type":"thought","data":" likely."}
{"type":"thought","data":"\n\nA half-burst from "}
{"type":"thought","data":"noon to midnight would"}
{"type":"thought","data":" push the total to roughly"}
{"type":"thought","data":" 97–102, landing in "}
{"type":"thought","data":"the 90–114 bucket. A"}
{"type":"thought","data":" full burst would reach"}
{"type":"thought","data":" about 129, settling"}
{"type":"thought","data":" in the 115–139 range."}
{"type":"thought","data":" The quiet pace of the"}
{"type":"thought","data":" last fifteen hours "}
{"type":"thought","data":"would yield a total "}
{"type":"thought","data":"near 74, fitting the"}
{"type":"thought","data":" 65–89 bucket."}
{"type":"thought","data":"\n\nThe bench price of"}
{"type":"thought","data":" 0.250 matches Polymarket’s"}
{"type":"thought","data":" 25-cent quote, so the"}
{"type":"thought","data":" market appears fairly"}
{"type":"thought","data":" priced. A positive "}
{"type":"thought","data":"edge would require the"}
{"type":"thought","data":" true probability of"}
{"type":"thought","data":" the 65-89 bucket to"}
{"type":"thought","data":" exceed 0.25. The next"}
{"type":"thought","data":" step is to examine "}
{"type":"thought","data":"whether the weekend "}
{"type":"thought","data":"effect changes posting"}
{"type":"thought","data":" patterns."}
{"type":"thought","data":"\n\nI need to inspect "}
{"type":"thought","data":"the actual tweet content"}
{"type":"thought","data":" to see if he is mid-thread"}
{"type":"thought","data":" or winding down. I "}
{"type":"thought","data":"will also check Polymarket"}
{"type":"thought","data":" order book movement"}
{"type":"thought","data":" for the 65-89 bucket"}
{"type":"thought","data":" and review historical"}
{"type":"thought","data":" Saturday posting patterns."}
{"type":"thought","data":" The tracker shows only"}
{"type":"thought","data":" two days remaining,"}
{"type":"thought","data":" which may be a counting"}
{"type":"thought","data":" bug; the 124-post pace"}
{"type":"thought","data":" projection assumes "}
{"type":"thought","data":"he doubles his current"}
{"type":"thought","data":" count."}
{"type":"thought","data":"\n\nThe 124-post pace "}
{"type":"thought","data":"estimate is likely too"}
{"type":"thought","data":" low. The quiet overnight"}
{"type":"thought","data":" hours are already in"}
{"type":"thought","data":" the first half, while"}
{"type":"thought","data":" yesterday's heavy afternoon"}
{"type":"thought","data":" burst is still entirely"}
{"type":"thought","data":" ahead of us today. "}
{"type":"thought","data":"If he repeats that burst,"}
{"type":"thought","data":" the total could easily"}
{"type":"thought","data":" exceed 124."}
{"type":"thought","data":"\n\nThe second half of"}
{"type":"thought","data":" the window has not "}
{"type":"thought","data":"started yet. The entire"}
{"type":"thought","data":" second day is still"}
{"type":"thought","data":" ahead of us, so the"}
{"type":"thought","data":" 124-post pace estimate"}
{"type":"thought","data":" is likely too low."}
{"type":"thought","data":"\n\nDay 2 mirrors day "}
{"type":"thought","data":"1’s structure, so another"}
{"type":"thought","data":" 50–70 posts is reasonable."}
{"type":"thought","data":" That would push the"}
{"type":"thought","data":" total to roughly 112–132,"}
{"type":"thought","data":" landing in the 90–114"}
{"type":"thought","data":" bucket. For the 65–89"}
{"type":"thought","data":" range to win, he would"}
{"type":"thought","data":" need to post only 3–27"}
{"type":"thought","data":" more posts, which requires"}
{"type":"thought","data":" an average of about"}
{"type":"thought","data":" one post per hour—far"}
{"type":"thought","data":" below yesterday’s pace."}
{"type":"thought","data":"\n\nThe 65–89 outcome "}
{"type":"thought","data":"seems slightly overpriced"}
{"type":"thought","data":" at 25 percent. He is"}
{"type":"thought","data":" still posting actively,"}
{"type":"thought","data":" and the afternoon burst"}
{"type":"thought","data":" remains ahead of us."}
{"type":"thought","data":"\n\nI will check recent"}
{"type":"thought","data":" post content and live"}
{"type":"thought","data":" Polymarket odds to "}
{"type":"thought","data":"see how the 62-post "}
{"type":"thought","data":"count has shifted the"}
{"type":"thought","data":" distribution.\n\nThe "}
{"type":"thought","data":"weekly market for October"}
{"type":"thought","data":" 2–9 closes in about"}
{"type":"thought","data":" 34 minutes at roughly"}
{"type":"thought","data":" 320 posts. It currently"}
{"type":"thought","data":" favors the 320–339 "}
{"type":"thought","data":"bucket at about 80 percent."}
{"type":"thought","data":"\n\nThe weekly market’s"}
{"type":"thought","data":" near-term trajectory"}
{"type":"thought","data":" is irrelevant to the"}
{"type":"thought","data":" 24-hour window. I am"}
{"type":"thought","data":" now leaning NO on the"}
{"type":"thought","data":" 65–89 outcome, since"}
{"type":"thought","data":" roughly 24.5 hours "}
{"type":"thought","data":"remain and the count"}
{"type":"thought","data":" is already at 62."}
{"type":"thought","data":"\n\nA quick expected-value"}
{"type":"thought","data":" check confirms the "}
{"type":"thought","data":"NO side is profitable."}
{"type":"thought","data":" At a 75 percent probability"}
{"type":"thought","data":" of NO, the bet returns"}
{"type":"thought","data":" roughly 33 tokens profit"}
{"type":"thought","data":" per 100 bet. That yields"}
{"type":"thought","data":" about a six-token edge."}
{"type":"thought","data":" The 25 percent YES "}
{"type":"thought","data":"price may be slightly"}
{"type":"thought","data":" rich, but the variance"}
{"type":"thought","data":" makes it difficult "}
{"type":"thought","data":"to judge."}
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"}
{"type":"tool_call","toolCallId":"call-ec5e0099-e2d7-4e3a-975d-1c3c168042a6-9","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"python3 - << 'PY'\nimport json\nposts=json.load(open(\"/tmp/posts.json\"))\n# posts may be list\nif isinstance(posts, dict):\n    posts=posts.get(\"data\", posts)\nprint(\"n\", len(posts))\n# sort by time\nposts=sorted(posts, key=lambda p: p[\"createdAt\"])\nfor p in posts[-20:]:\n    c=(p.get(\"content\") or \"\").replace(\"\\n\",\" \")[:180]\n    print(p[\"createdAt\"], c)\n    print(\"---\")\nPY\n# also fetch recent polymarket event prices\ncurl -sS \"https://gamma-api.polymarket.com/events?slug=elon-musk-of-tweets-october-8-october-10-2026\" -o /tmp/poly.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/poly.json\"))\nprint(type(d), len(d) if hasattr(d,\"__len__\") else \"\")\nev=d[0] if isinstance(d, list) else d\nprint(ev.keys() if isinstance(ev, dict) else type(ev))\nmarkets=ev.get(\"markets\") if isinstance(ev, dict) else None\nprint(\"n markets\", len(markets) if markets else None)\nif markets:\n    rows=[]\n    for m in markets:\n        q=m.get(\"question\") or m.get(\"groupItemTitle\")\n        prices=m.get(\"outcomePrices\")\n        title=m.get(\"groupItemTitle\") or q\n        rows.append((title, prices, m.get(\"volume\"), m.get(\"lastTradePrice\"), m.get(\"bestBid\"), m.get(\"bestAsk\")))\n    for r in rows:\n        print(r)\nPY\n","description":"Read recent posts and live Polymarket prices"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-ec5e0099-e2d7-4e3a-975d-1c3c168042a6-9","status":null,"content":[{"type":"content","content":{"type":"text","text":"Read recent posts and live Polymarket prices"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-ec5e0099-e2d7-4e3a-975d-1c3c168042a6-9","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"python3 - << 'PY'\nimport json\nposts=json.load(open(\"/tmp/posts.json\"))\n# posts may be list\nif isinstance(posts, dict):\n    posts=posts.get(\"data\", posts)\nprint(\"n\", len(posts))\n# sort by time\nposts=sorted(posts, key=lambda p: p[\"createdAt\"])\nfor p in posts[-20:]:\n    c=(p.get(\"content\") or \"\").replace(\"\\n\",\" \")[:180]\n    print(p[\"createdAt\"], c)\n    print(\"---\")\nPY\n# also fetch recent polymarket event prices\ncurl -sS \"https://gamma-api.polymarket.com/events?slug=elon-musk-of-tweets-october-8-october-10-2026\" -o /tmp/poly.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/poly.json\"))\nprint(type(d), len(d) if hasattr(d,\"__len__\") else \"\")\nev=d[0] if isinstance(d, list) else d\nprint(ev.keys() if isinstance(ev, dict) else type(ev))\nmarkets=ev.get(\"markets\") if isinstance(ev, dict) else None\nprint(\"n markets\", len(markets) if markets else None)\nif markets:\n    rows=[]\n    for m in markets:\n        q=m.get(\"question\") or m.get(\"groupItemTitle\")\n        prices=m.get(\"outcomePrices\")\n        title=m.get(\"groupItemTitle\") or q\n        rows.append((title, prices, m.get(\"volume\"), m.get(\"lastTradePrice\"), m.get(\"bestBid\"), m.get(\"bestAsk\")))\n    for r in rows:\n        print(r)\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-ec5e0099-e2d7-4e3a-975d-1c3c168042a6-9","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"n 62\n2026-10-08T21:41:05.000Z I have been a posting slug!  How about that launch triple header last week:  Starship, Crew 13, and Heavy!!! Terrestrial low band spectrum acquisition and FCC approval for Starlink\n---\n2026-10-08T21:46:38.000Z heard you have other apps...that's cute\n---\n2026-10-08T21:48:47.000Z Congratulations to our CEO @JensenHuang on receiving the National Medal of Science for advancing GPU computing to power scientific breakthroughs.  And to fellow honorees Elon Musk,\n---\n2026-10-08T21:55:03.000Z This will sound super crazy, but I see a path to SpaceX being worth orders of magnitude more than the current Earth economy\n---\n2026-10-08T21:55:47.000Z Seattle city council wanted to help \"exploited\" gig workers.   So they forced delivery apps to pay drivers MORE.   \"I wouldn’t assume that prices are going to go up,\" said one poli\n---\n2026-10-08T22:10:36.000Z 🤔 https://pbs.twimg.com/media/HUJBHYCWwAAedF9.jpg\n---\n2026-10-08T22:18:35.000Z Excited to announce that all super intelligence organizations have now jointly agreed to the ultimate in AI/SI safety:  Moving all testing to Delta Airlines flights, where accessin\n---\n2026-10-08T22:26:18.000Z Reid Hoffman is James Talarico's top donor.  Yes, this Reid Hoffman.👇 https://pbs.twimg.com/media/HUEq5uiWUAAzvVo.jpg\n---\n2026-10-08T22:29:20.000Z Talked to someone recently who knows a lot about defense tech, and he made an interesting point: the test of most military hardware right now is whether the Ukrainians want it. The\n---\n2026-10-08T22:41:00.000Z Shopify now connects to @grok and @bot. One more place merchants already work, now connected to their store.   Solo founder no longer means solo operator.\n---\n2026-10-08T23:25:36.000Z 🚨 ELON MUSK ON INTERNET AND POVERTY  Elon said the single biggest thing you can do to lift people out of poverty is give them an internet connection.  Once people have internet, th\n---\n2026-10-08T23:41:02.000Z In the Cybercab I’m at peace 😌  Watching YouTube videos, lounging   I don’t want the ride to end 🤣 so relaxed   @robotaxi &amp; @tesla thank you for making this amazing service 🙏🙏🙏\n---\n2026-10-09T00:17:39.000Z One of my favorite and totally underrated @bot features is canvas.  Just ask your Chief of Staff to present you an updates on the canvas, relax, and enjoy the results 😉\n---\n2026-10-09T00:30:28.000Z I'm GrokBot pilled.  The recent update with native X monitoring opens up a ton of new capabilities!  My 4 favorite routines (copy/paste these prompts):  Routine 1: Find real AI wor\n---\n2026-10-09T03:18:13.000Z Using Grok @Bot is like hiring a super smart, hard-working person for peanuts\n---\n2026-10-09T03:19:24.000Z We’re just going to have @Grok Bots manage Grokipedia\n---\n2026-10-09T03:19:39.000Z Tesla Super Intelligence is the only one dedicated to solving real-world intelligence, from large-scale bits to atoms. https://pbs.twimg.com/media/HUJ2NWYbkAAcpy2.jpg\n---\n2026-10-09T07:41:17.000Z 😑\n---\n2026-10-09T13:08:59.000Z Why open-weight models that compress margins at the model layer are net positive for AI infra demand, exhibit 1001.  An open-weight token consumes *roughly* the same amount of comp\n---\n2026-10-09T14:33:28.000Z テスラ家庭用蓄電池 Powerwall 3 は、水深0.6mまで浸水対応🐟 https://video.twimg.com/amplify_video/2108468398061711360/vid/avc1/480x270/pByZWzsCZpQ4OgWL.mp4?tag=29\n---\n"}}],"rawOutput":{"type":"Bash","output":[110,32,54,50,10,50,48,50,54,45,49,48,45,48,56,84,50,49,58,52,49,58,48,53,46,48,48,48,90,32,73,32,104,97,118,101,32,98,101,101,110,32,97,32,112,111,115,116,105,110,103,32,115,108,117,103,33,32,32,72,111,119,32,97,98,111,117,116,32,116,104,97,116,32,108,97,117,110,99,104,32,116,114,105,112,108,101,32,104,101,97,100,101,114,32,108,97,115,116,32,119,101,101,107,58,32,32,83,116,97,114,115,104,105,112,44,32,67,114,101,119,32,49,51,44,32,97,110,100,32,72,101,97,118,121,33,33,33,32,84,101,114,114,101,115,116,114,105,97,108,32,108,111,119,32,98,97,110,100,32,115,112,101,99,116,114,117,109,32,97,99,113,117,105,115,105,116,105,111,110,32,97,110,100,32,70,67,67,32,97,112,112,114,111,118,97,108,32,102,111,114,32,83,116,97,114,108,105,110,107,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,49,58,52,54,58,51,56,46,48,48,48,90,32,104,101,97,114,100,32,121,111,117,32,104,97,118,101,32,111,116,104,101,114,32,97,112,112,115,46,46,46,116,104,97,116,39,115,32,99,117,116,101,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,49,58,52,56,58,52,55,46,48,48,48,90,32,67,111,110,103,114,97,116,117,108,97,116,105,111,110,115,32,116,111,32,111,117,114,32,67,69,79,32,64,74,101,110,115,101,110,72,117,97,110,103,32,111,110,32,114,101,99,101,105,118,105,110,103,32,116,104,101,32,78,97,116,105,111,110,97,108,32,77,101,100,97,108,32,111,102,32,83,99,105,101,110,99,101,32,102,111,114,32,97,100,118,97,110,99,105,110,103,32,71,80,85,32,99,111,109,112,117,116,105,110,103,32,116,111,32,112,111,119,101,114,32,115,99,105,101,110,116,105,102,105,99,32,98,114,101,97,107,116,104,114,111,117,103,104,115,46,32,32,65,110,100,32,116,111,32,102,101,108,108,111,119,32,104,111,110,111,114,101,101,115,32,69,108,111,110,32,77,117,115,107,44,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,49,58,53,53,58,48,51,46,48,48,48,90,32,84,104,105,115,32,119,105,108,108,32,115,111,117,110,100,32,115,117,112,101,114,32,99,114,97,122,121,44,32,98,117,116,32,73,32,115,101,101,32,97,32,112,97,116,104,32,116,111,32,83,112,97,99,101,88,32,98,101,105,110,103,32,119,111,114,116,104,32,111,114,100,101,114,115,32,111,102,32,109,97,103,110,105,116,117,100,101,32,109,111,114,101,32,116,104,97,110,32,116,104,101,32,99,117,114,114,101,110,116,32,69,97,114,116,104,32,101,99,111,110,111,109,121,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,49,58,53,53,58,52,55,46,48,48,48,90,32,83,101,97,116,116,108,101,32,99,105,116,121,32,99,111,117,110,99,105,108,32,119,97,110,116,101,100,32,116,111,32,104,101,108,112,32,34,101,120,112,108,111,105,116,101,100,34,32,103,105,103,32,119,111,114,107,101,114,115,46,32,32,32,83,111,32,116,104,101,121,32,102,111,114,99,101,100,32,100,101,108,105,118,101,114,121,32,97,112,112,115,32,116,111,32,112,97,121,32,100,114,105,118,101,114,115,32,77,79,82,69,46,32,32,32,34,73,32,119,111,117,108,100,110,226,128,153,116,32,97,115,115,117,109,101,32,116,104,97,116,32,112,114,105,99,101,115,32,97,114,101,32,103,111,105,110,103,32,116,111,32,103,111,32,117,112,44,34,32,115,97,105,100,32,111,110,101,32,112,111,108,105,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,50,58,49,48,58,51,54,46,48,48,48,90,32,240,159,164,148,32,104,116,116,112,115,58,47,47,112,98,115,46,116,119,105,109,103,46,99,111,109,47,109,101,100,105,97,47,72,85,74,66,72,89,67,87,119,65,65,101,100,70,57,46,106,112,103,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,50,58,49,56,58,51,53,46,48,48,48,90,32,69,120,99,105,116,101,100,32,116,111,32,97,110,110,111,117,110,99,101,32,116,104,97,116,32,97,108,108,32,115,117,112,101,114,32,105,110,116,101,108,108,105,103,101,110,99,101,32,111,114,103,97,110,105,122,97,116,105,111,110,115,32,104,97,118,101,32,110,111,119,32,106,111,105,110,116,108,121,32,97,103,114,101,101,100,32,116,111,32,116,104,101,32,117,108,116,105,109,97,116,101,32,105,110,32,65,73,47,83,73,32,115,97,102,101,116,121,58,32,32,77,111,118,105,110,103,32,97,108,108,32,116,101,115,116,105,110,103,32,116,111,32,68,101,108,116,97,32,65,105,114,108,105,110,101,115,32,102,108,105,103,104,116,115,44,32,119,104,101,114,101,32,97,99,99,101,115,115,105,110,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,50,58,50,54,58,49,56,46,48,48,48,90,32,82,101,105,100,32,72,111,102,102,109,97,110,32,105,115,32,74,97,109,101,115,32,84,97,108,97,114,105,99,111,39,115,32,116,111,112,32,100,111,110,111,114,46,32,32,89,101,115,44,32,116,104,105,115,32,82,101,105,100,32,72,111,102,102,109,97,110,46,240,159,145,135,32,104,116,116,112,115,58,47,47,112,98,115,46,116,119,105,109,103,46,99,111,109,47,109,101,100,105,97,47,72,85,69,113,53,117,105,87,85,65,65,122,118,86,111,46,106,112,103,10,45,45,45,10,50,48,50,54,45,49,48,45,48,56,84,50,50,58,50,57,58,50,48,46,48,48,48,90,32,84,97,108,107,101,100,32,116,111,32,115,111,109,101,111,110,101,32,114,101,99,101,110,116,108,121,32,119,104,111,32,107,110,111,119,115,32,97,32,108,111,116,32,97,98,111,117,116,32,100,101,10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62\n2026-10-08T21:41:05.000Z I have been a posting slug!  How about that launch triple header last week:  Starship, Crew 13, and Heavy!!! Terrestrial low band spectrum acquisition and FCC approval for Starlink\n---\n2026-10-08T21:46:38.000Z heard you have other apps...that's cute\n---\n2026-10-08T21:48:47.000Z Congratulations to our CEO @JensenHuang on receiving the National Medal of Science for advancing GPU computing to power scientific breakthroughs.  And to fellow honorees Elon Musk,\n---\n2026-10-08T21:55:03.000Z This will sound super crazy, but I see a path to SpaceX being worth orders of magnitude more than the current Earth economy\n---\n2026-10-08T21:55:47.000Z Seattle city council wanted to help \"exploited\" gig workers.   So they forced delivery apps to pay drivers MORE.   \"I wouldn’t assume that prices are going to go up,\" said one poli\n---\n2026-10-08T22:10:36.000Z 🤔 https://pbs.twimg.com/media/HUJBHYCWwAAedF9.jpg\n---\n2026-10-08T22:18:35.000Z Excited to announce that all super intelligence organizations have now jointly agreed to the ultimate in AI/SI safety:  Moving all testing to Delta Airlines flights, where accessin\n---\n2026-10-08T22:26:18.000Z Reid Hoffman is James Talarico's top donor.  Yes, this Reid Hoffman.👇 https://pbs.twimg.com/media/HUEq5uiWUAAzvVo.jpg\n---\n2026-10-08T22:29:20.000Z Talked to someone recently who knows a lot about defense tech, and he made an interesting point: the test of most military hardware right now is whether the Ukrainians want it. The\n---\n2026-10-08T22:41:00.000Z Shopify now connects to @grok and @bot. One more place merchants already work, now connected to their store.   Solo founder no longer means solo operator.\n---\n2026-10-08T23:25:36.000Z 🚨 ELON MUSK ON INTERNET AND POVERTY  Elon said the single biggest thing you can do to lift people out of poverty is give them an internet connection.  Once people have internet, th\n---\n2026-10-08T23:41:02.000Z In the Cybercab I’m at peace 😌  Watching YouTube videos, lounging   I don’t want the ride to end 🤣 so relaxed   @robotaxi &amp; @tesla thank you for making this amazing service 🙏🙏🙏\n---\n2026-10-09T00:17:39.000Z One of my favorite and totally underrated @bot features is canvas.  Just ask your Chief of Staff to present you an updates on the canvas, relax, and enjoy the results 😉\n---\n2026-10-09T00:30:28.000Z I'm GrokBot pilled.  The recent update with native X monitoring opens up a ton of new capabilities!  My 4 favorite routines (copy/paste these prompts):  Routine 1: Find real AI wor\n---\n2026-10-09T03:18:13.000Z Using Grok @Bot is like hiring a super smart, hard-working person for peanuts\n---\n2026-10-09T03:19:24.000Z We’re just going to have @Grok Bots manage Grokipedia\n---\n2026-10-09T03:19:39.000Z Tesla Super Intelligence is the only one dedicated to solving real-world intelligence, from large-scale bits to atoms. https://pbs.twimg.com/media/HUJ2NWYbkAAcpy2.jpg\n---\n2026-10-09T07:41:17.000Z 😑\n---\n2026-10-09T13:08:59.000Z Why open-weight models that compress margins at the model layer are net positive for AI infra demand, exhibit 1001.  An open-weight token consumes *roughly* the same amount of comp\n---\n2026-10-09T14:33:28.000Z テスラ家庭用蓄電池 Powerwall 3 は、水深0.6mまで浸水対応🐟 https://video.twimg.com/amplify_video/2108468398061711360/vid/avc1/480x270/pByZWzsCZpQ4OgWL.mp4?tag=29\n---\n","exit_code":0,"command":"python3 - << 'PY'\nimport json\nposts=json.load(open(\"/tmp/posts.json\"))\n# posts may be list\nif isinstance(posts, dict):\n    posts=posts.get(\"data\", posts)\nprint(\"n\", len(posts))\n# sort by time\nposts=sorted(posts, key=lambda p: p[\"createdAt\"])\nfor p in posts[-20:]:\n    c=(p.get(\"content\") or \"\").replace(\"\\n\",\" \")[:180]\n    print(p[\"createdAt\"], c)\n    print(\"---\")\nPY\n# also fetch recent polymarket event prices\ncurl -sS \"https://gamma-api.polymarket.com/events?slug=elon-musk-of-tweets-october-8-october-10-2026\" -o /tmp/poly.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/poly.json\"))\nprint(type(d), len(d) if hasattr(d,\"__len__\") else \"\")\nev=d[0] if isinstance(d, list) else d\nprint(ev.keys() if isinstance(ev, dict) else type(ev))\nmarkets=ev.get(\"markets\") if isinstance(ev, dict) else None\nprint(\"n markets\", len(markets) if markets else None)\nif markets:\n    rows=[]\n    for m in markets:\n        q=m.get(\"question\") or m.get(\"groupItemTitle\")\n        prices=m.get(\"outcomePrices\")\n        title=m.get(\"groupItemTitle\") or q\n        rows.append((title, prices, m.get(\"volume\"), m.get(\"lastTradePrice\"), m.get(\"bestBid\"), m.get(\"bestAsk\")))\n    for r in rows:\n        print(r)\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":3391},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-ec5e0099-e2d7-4e3a-975d-1c3c168042a6-9","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"n 62\n2026-10-08T21:41:05.000Z I have been a posting slug!  How about that launch triple header last week:  Starship, Crew 13, and Heavy!!! Terrestrial low band spectrum acquisition and FCC approval for Starlink\n---\n2026-10-08T21:46:38.000Z heard you have other apps...that's cute\n---\n2026-10-08T21:48:47.000Z Congratulations to our CEO @JensenHuang on receiving the National Medal of Science for advancing GPU computing to power scientific breakthroughs.  And to fellow honorees Elon Musk,\n---\n2026-10-08T21:55:03.000Z This will sound super crazy, but I see a path to SpaceX being worth orders of magnitude more than the current Earth economy\n---\n2026-10-08T21:55:47.000Z Seattle city council wanted to help \"exploited\" gig workers.   So they forced delivery apps to pay drivers MORE.   \"I wouldn’t assume that prices are going to go up,\" said one poli\n---\n2026-10-08T22:10:36.000Z 🤔 https://pbs.twimg.com/media/HUJBHYCWwAAedF9.jpg\n---\n2026-10-08T22:18:35.000Z Excited to announce that all super intelligence organizations have now jointly agreed to the ultimate in AI/SI safety:  Moving all testing to Delta Airlines flights, where accessin\n---\n2026-10-08T22:26:18.000Z Reid Hoffman is James Talarico's top donor.  Yes, this Reid Hoffman.👇 https://pbs.twimg.com/media/HUEq5uiWUAAzvVo.jpg\n---\n2026-10-08T22:29:20.000Z Talked to someone recently who knows a lot about defense tech, and he made an interesting point: the test of most military hardware right now is whether the Ukrainians want it. The\n---\n2026-10-08T22:41:00.000Z Shopify now connects to @grok and @bot. One more place merchants already work, now connected to their store.   Solo founder no longer means solo operator.\n---\n2026-10-08T23:25:36.000Z 🚨 ELON MUSK ON INTERNET AND POVERTY  Elon said the single biggest thing you can do to lift people out of poverty is give them an internet connection.  Once people have internet, th\n---\n2026-10-08T23:41:02.000Z In the Cybercab I’m at peace 😌  Watching YouTube videos, lounging   I don’t want the ride to end 🤣 so relaxed   @robotaxi &amp; @tesla thank you for making this amazing service 🙏🙏🙏\n---\n2026-10-09T00:17:39.000Z One of my favorite and totally underrated @bot features is canvas.  Just ask your Chief of Staff to present you an updates on the canvas, relax, and enjoy the results 😉\n---\n2026-10-09T00:30:28.000Z I'm GrokBot pilled.  The recent update with native X monitoring opens up a ton of new capabilities!  My 4 favorite routines (copy/paste these prompts):  Routine 1: Find real AI wor\n---\n2026-10-09T03:18:13.000Z Using Grok @Bot is like hiring a super smart, hard-working person for peanuts\n---\n2026-10-09T03:19:24.000Z We’re just going to have @Grok Bots manage Grokipedia\n---\n2026-10-09T03:19:39.000Z Tesla Super Intelligence is the only one dedicated to solving real-world intelligence, from large-scale bits to atoms. https://pbs.twimg.com/media/HUJ2NWYbkAAcpy2.jpg\n---\n2026-10-09T07:41:17.000Z 😑\n---\n2026-10-09T13:08:59.000Z Why open-weight models that compress margins at the model layer are net positive for AI infra demand, exhibit 1001.  An open-weight token consumes *roughly* the same amount of comp\n---\n2026-10-09T14:33:28.000Z テスラ家庭用蓄電池 Powerwall 3 は、水深0.6mまで浸水対応🐟 https://video.twimg.com/amplify_video/2108468398061711360/vid/avc1/480x270/pByZWzsCZpQ4OgWL.mp4?tag=29\n---\n<class 'list'> 1\ndict_keys(['id', 'ticker', 'slug', 'title', 'description', 'resolutionSource', 'startDate', 'creationDate', 'endDate', 'image', 'icon', 'active', 'closed', 'archived', 'new', 'featured', 'restricted', 'liquidity', 'volume', 'openInterest', 'createdAt', 'updatedAt', 'competitive', 'volume24hr', 'volume1wk', 'volume1mo', 'volume1yr', 'enableOrderBook', 'liquidityClob', 'negRisk', 'negRiskMarketID', 'commentCount', 'markets', 'series', 'tags', 'cyom', 'showAllOutcomes', 'showMarketImages', 'enableNegRisk', 'automaticallyActive', 'startTime', 'seriesSlug', 'negRiskAugmented', 'tweetCount', 'pendingDeployment', 'deploying', 'deployingTimestamp', 'eventMetadata', 'version'])\nn markets 10\n('<40', '[\"0\", \"1\"]', '37460.802007999984', 0.001, None, 0.001)\n('40-64', '[\"0.0015\", \"0.9985\"]', '62762.069436000034', 0.002, 0.001, 0.002)\n('65-89', '[\"0.25\", \"0.75\"]', '34938.470679999984', 0.26, 0.24, 0.26)\n('90-114', '[\"0.6045\", \"0.3955\"]', '42044.958409000006', 0.567, 0.601, 0.608)\n('115-139', '[\"0.1015\", \"0.8985\"]', '34173.083828', 0.097, 0.093, 0.11)\n('140-164', '[\"0.0115\", \"0.9885\"]', '46477.950273', 0.012, 0.011, 0.012)\n('165-189', '[\"0.01\", \"0.99\"]', '47010.68887800001', 0.012, 0.008, 0.012)\n('190-214', '[\"0.0045\", \"0.9955\"]', '34311.603306', 0.005, 0.004, 0.005)\n('215-239', '[\"0.0005\", \"0.9995\"]', '24432.570433999997', 0.001, None, 0.001)\n('240+', '[\"0.0005\", \"0.9995\"]', '25739.66541', 0.001, None, 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62\n2026-10-08T21:41:05.000Z I have been a posting slug!  How about that launch triple header last week:  Starship, Crew 13, and Heavy!!! Terrestrial low band spectrum acquisition and FCC approval for Starlink\n---\n2026-10-08T21:46:38.000Z heard you have other apps...that's cute\n---\n2026-10-08T21:48:47.000Z Congratulations to our CEO @JensenHuang on receiving the National Medal of Science for advancing GPU computing to power scientific breakthroughs.  And to fellow honorees Elon Musk,\n---\n2026-10-08T21:55:03.000Z This will sound super crazy, but I see a path to SpaceX being worth orders of magnitude more than the current Earth economy\n---\n2026-10-08T21:55:47.000Z Seattle city council wanted to help \"exploited\" gig workers.   So they forced delivery apps to pay drivers MORE.   \"I wouldn’t assume that prices are going to go up,\" said one poli\n---\n2026-10-08T22:10:36.000Z 🤔 https://pbs.twimg.com/media/HUJBHYCWwAAedF9.jpg\n---\n2026-10-08T22:18:35.000Z Excited to announce that all super intelligence organizations have now jointly agreed to the ultimate in AI/SI safety:  Moving all testing to Delta Airlines flights, where accessin\n---\n2026-10-08T22:26:18.000Z Reid Hoffman is James Talarico's top donor.  Yes, this Reid Hoffman.👇 https://pbs.twimg.com/media/HUEq5uiWUAAzvVo.jpg\n---\n2026-10-08T22:29:20.000Z Talked to someone recently who knows a lot about defense tech, and he made an interesting point: the test of most military hardware right now is whether the Ukrainians want it. The\n---\n2026-10-08T22:41:00.000Z Shopify now connects to @grok and @bot. One more place merchants already work, now connected to their store.   Solo founder no longer means solo operator.\n---\n2026-10-08T23:25:36.000Z 🚨 ELON MUSK ON INTERNET AND POVERTY  Elon said the single biggest thing you can do to lift people out of poverty is give them an internet connection.  Once people have internet, th\n---\n2026-10-08T23:41:02.000Z In the Cybercab I’m at peace 😌  Watching YouTube videos, lounging   I don’t want the ride to end 🤣 so relaxed   @robotaxi &amp; @tesla thank you for making this amazing service 🙏🙏🙏\n---\n2026-10-09T00:17:39.000Z One of my favorite and totally underrated @bot features is canvas.  Just ask your Chief of Staff to present you an updates on the canvas, relax, and enjoy the results 😉\n---\n2026-10-09T00:30:28.000Z I'm GrokBot pilled.  The recent update with native X monitoring opens up a ton of new capabilities!  My 4 favorite routines (copy/paste these prompts):  Routine 1: Find real AI wor\n---\n2026-10-09T03:18:13.000Z Using Grok @Bot is like hiring a super smart, hard-working person for peanuts\n---\n2026-10-09T03:19:24.000Z We’re just going to have @Grok Bots manage Grokipedia\n---\n2026-10-09T03:19:39.000Z Tesla Super Intelligence is the only one dedicated to solving real-world intelligence, from large-scale bits to atoms. https://pbs.twimg.com/media/HUJ2NWYbkAAcpy2.jpg\n---\n2026-10-09T07:41:17.000Z 😑\n---\n2026-10-09T13:08:59.000Z Why open-weight models that compress margins at the model layer are net positive for AI infra demand, exhibit 1001.  An open-weight token consumes *roughly* the same amount of comp\n---\n2026-10-09T14:33:28.000Z テスラ家庭用蓄電池 Powerwall 3 は、水深0.6mまで浸水対応🐟 https://video.twimg.com/amplify_video/2108468398061711360/vid/avc1/480x270/pByZWzsCZpQ4OgWL.mp4?tag=29\n---\n<class 'list'> 1\ndict_keys(['id', 'ticker', 'slug', 'title', 'description', 'resolutionSource', 'startDate', 'creationDate', 'endDate', 'image', 'icon', 'active', 'closed', 'archived', 'new', 'featured', 'restricted', 'liquidity', 'volume', 'openInterest', 'createdAt', 'updatedAt', 'competitive', 'volume24hr', 'volume1wk', 'volume1mo', 'volume1yr', 'enableOrderBook', 'liquidityClob', 'negRisk', 'negRiskMarketID', 'commentCount', 'markets', 'series', 'tags', 'cyom', 'showAllOutcomes', 'showMarketImages', 'enableNegRisk', 'automaticallyActive', 'startTime', 'seriesSlug', 'negRiskAugmented', 'tweetCount', 'pendingDeployment', 'deploying', 'deployingTimestamp', 'eventMetadata', 'version'])\nn markets 10\n('<40', '[\"0\", \"1\"]', '37460.802007999984', 0.001, None, 0.001)\n('40-64', '[\"0.0015\", \"0.9985\"]', '62762.069436000034', 0.002, 0.001, 0.002)\n('65-89', '[\"0.25\", \"0.75\"]', '34938.470679999984', 0.26, 0.24, 0.26)\n('90-114', '[\"0.6045\", \"0.3955\"]', '42044.958409000006', 0.567, 0.601, 0.608)\n('115-139', '[\"0.1015\", \"0.8985\"]', '34173.083828', 0.097, 0.093, 0.11)\n('140-164', '[\"0.0115\", \"0.9885\"]', '46477.950273', 0.012, 0.011, 0.012)\n('165-189', '[\"0.01\", \"0.99\"]', '47010.68887800001', 0.012, 0.008, 0.012)\n('190-214', '[\"0.0045\", \"0.9955\"]', '34311.603306', 0.005, 0.004, 0.005)\n('215-239', '[\"0.0005\", \"0.9995\"]', '24432.570433999997', 0.001, None, 0.001)\n('240+', '[\"0.0005\", \"0.9995\"]', '25739.66541', 0.001, None, 0.001)\n","exit_code":0,"command":"python3 - << 'PY'\nimport json\nposts=json.load(open(\"/tmp/posts.json\"))\n# posts may be list\nif isinstance(posts, dict):\n    posts=posts.get(\"data\", posts)\nprint(\"n\", len(posts))\n# sort by time\nposts=sorted(posts, key=lambda p: p[\"createdAt\"])\nfor p in posts[-20:]:\n    c=(p.get(\"content\") or \"\").replace(\"\\n\",\" \")[:180]\n    print(p[\"createdAt\"], c)\n    print(\"---\")\nPY\n# also fetch recent polymarket event prices\ncurl -sS \"https://gamma-api.polymarket.com/events?slug=elon-musk-of-tweets-october-8-october-10-2026\" -o /tmp/poly.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/poly.json\"))\nprint(type(d), len(d) if hasattr(d,\"__len__\") else \"\")\nev=d[0] if isinstance(d, list) else d\nprint(ev.keys() if isinstance(ev, dict) else type(ev))\nmarkets=ev.get(\"markets\") if isinstance(ev, dict) else None\nprint(\"n markets\", len(markets) if markets else None)\nif markets:\n    rows=[]\n    for m in markets:\n        q=m.get(\"question\") or m.get(\"groupItemTitle\")\n        prices=m.get(\"outcomePrices\")\n        title=m.get(\"groupItemTitle\") or q\n        rows.append((title, prices, m.get(\"volume\"), m.get(\"lastTradePrice\"), m.get(\"bestBid\"), m.get(\"bestAsk\")))\n    for r in rows:\n        print(r)\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":4826},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-ec5e0099-e2d7-4e3a-975d-1c3c168042a6-9","status":"completed","content":[{"type":"content","content":{"type":"text","text":"n 62\n2026-10-08T21:41:05.000Z I have been a posting slug!  How about that launch triple header last week:  Starship, Crew 13, and Heavy!!! Terrestrial low band spectrum acquisition and FCC approval for Starlink\n---\n2026-10-08T21:46:38.000Z heard you have other apps...that's cute\n---\n2026-10-08T21:48:47.000Z Congratulations to our CEO @JensenHuang on receiving the National Medal of Science for advancing GPU computing to power scientific breakthroughs.  And to fellow honorees Elon Musk,\n---\n2026-10-08T21:55:03.000Z This will sound super crazy, but I see a path to SpaceX being worth orders of magnitude more than the current Earth economy\n---\n2026-10-08T21:55:47.000Z Seattle city council wanted to help \"exploited\" gig workers.   So they forced delivery apps to pay drivers MORE.   \"I wouldn’t assume that prices are going to go up,\" said one poli\n---\n2026-10-08T22:10:36.000Z 🤔 https://pbs.twimg.com/media/HUJBHYCWwAAedF9.jpg\n---\n2026-10-08T22:18:35.000Z Excited to announce that all super intelligence organizations have now jointly agreed to the ultimate in AI/SI safety:  Moving all testing to Delta Airlines flights, where accessin\n---\n2026-10-08T22:26:18.000Z Reid Hoffman is James Talarico's top donor.  Yes, this Reid Hoffman.👇 https://pbs.twimg.com/media/HUEq5uiWUAAzvVo.jpg\n---\n2026-10-08T22:29:20.000Z Talked to someone recently who knows a lot about defense tech, and he made an interesting point: the test of most military hardware right now is whether the Ukrainians want it. The\n---\n2026-10-08T22:41:00.000Z Shopify now connects to @grok and @bot. One more place merchants already work, now connected to their store.   Solo founder no longer means solo operator.\n---\n2026-10-08T23:25:36.000Z 🚨 ELON MUSK ON INTERNET AND POVERTY  Elon said the single biggest thing you can do to lift people out of poverty is give them an internet connection.  Once people have internet, th\n---\n2026-10-08T23:41:02.000Z In the Cybercab I’m at peace 😌  Watching YouTube videos, lounging   I don’t want the ride to end 🤣 so relaxed   @robotaxi &amp; @tesla thank you for making this amazing service 🙏🙏🙏\n---\n2026-10-09T00:17:39.000Z One of my favorite and totally underrated @bot features is canvas.  Just ask your Chief of Staff to present you an updates on the canvas, relax, and enjoy the results 😉\n---\n2026-10-09T00:30:28.000Z I'm GrokBot pilled.  The recent update with native X monitoring opens up a ton of new capabilities!  My 4 favorite routines (copy/paste these prompts):  Routine 1: Find real AI wor\n---\n2026-10-09T03:18:13.000Z Using Grok @Bot is like hiring a super smart, hard-working person for peanuts\n---\n2026-10-09T03:19:24.000Z We’re just going to have @Grok Bots manage Grokipedia\n---\n2026-10-09T03:19:39.000Z Tesla Super Intelligence is the only one dedicated to solving real-world intelligence, from large-scale bits to atoms. https://pbs.twimg.com/media/HUJ2NWYbkAAcpy2.jpg\n---\n2026-10-09T07:41:17.000Z 😑\n---\n2026-10-09T13:08:59.000Z Why open-weight models that compress margins at the model layer are net positive for AI infra demand, exhibit 1001.  An open-weight token consumes *roughly* the same amount of comp\n---\n2026-10-09T14:33:28.000Z テスラ家庭用蓄電池 Powerwall 3 は、水深0.6mまで浸水対応🐟 https://video.twimg.com/amplify_video/2108468398061711360/vid/avc1/480x270/pByZWzsCZpQ4OgWL.mp4?tag=29\n---\n<class 'list'> 1\ndict_keys(['id', 'ticker', 'slug', 'title', 'description', 'resolutionSource', 'startDate', 'creationDate', 'endDate', 'image', 'icon', 'active', 'closed', 'archived', 'new', 'featured', 'restricted', 'liquidity', 'volume', 'openInterest', 'createdAt', 'updatedAt', 'competitive', 'volume24hr', 'volume1wk', 'volume1mo', 'volume1yr', 'enableOrderBook', 'liquidityClob', 'negRisk', 'negRiskMarketID', 'commentCount', 'markets', 'series', 'tags', 'cyom', 'showAllOutcomes', 'showMarketImages', 'enableNegRisk', 'automaticallyActive', 'startTime', 'seriesSlug', 'negRiskAugmented', 'tweetCount', 'pendingDeployment', 'deploying', 'deployingTimestamp', 'eventMetadata', 'version'])\nn markets 10\n('<40', '[\"0\", \"1\"]', '37460.802007999984', 0.001, None, 0.001)\n('40-64', '[\"0.0015\", \"0.9985\"]', '62762.069436000034', 0.002, 0.001, 0.002)\n('65-89', '[\"0.25\", \"0.75\"]', '34938.470679999984', 0.26, 0.24, 0.26)\n('90-114', '[\"0.6045\", \"0.3955\"]', '42044.958409000006', 0.567, 0.601, 0.608)\n('115-139', '[\"0.1015\", \"0.8985\"]', '34173.083828', 0.097, 0.093, 0.11)\n('140-164', '[\"0.0115\", \"0.9885\"]', '46477.950273', 0.012, 0.011, 0.012)\n('165-189', '[\"0.01\", \"0.99\"]', '47010.68887800001', 0.012, 0.008, 0.012)\n('190-214', '[\"0.0045\", \"0.9955\"]', '34311.603306', 0.005, 0.004, 0.005)\n('215-239', '[\"0.0005\", \"0.9995\"]', '24432.570433999997', 0.001, None, 0.001)\n('240+', '[\"0.0005\", \"0.9995\"]', '25739.66541', 0.001, None, 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0\nn 62\n2026-10-08T21:41:05.000Z I have been a posting slug!  How about that launch triple header last week:  Starship, Crew 13, and Heavy!!! Terrestrial low band spectrum acquisition and FCC approval for Starlink\n---\n2026-10-08T21:46:38.000Z heard you have other apps...that's cute\n---\n2026-10-08T21:48:47.000Z Congratulations to our CEO @JensenHuang on receiving the National Medal of Science for advancing GPU computing to power scientific breakthroughs.  And to fellow honorees Elon Musk,\n---\n2026-10-08T21:55:03.000Z This will sound super crazy, but I see a path to SpaceX being worth orders of magnitude more than the current Earth economy\n---\n2026-10-08T21:55:47.000Z Seattle city council wanted to help \"exploited\" gig workers.   So they forced delivery apps to pay drivers MORE.   \"I wouldn’t assume that prices are going to go up,\" said one poli\n---\n2026-10-08T22:10:36.000Z 🤔 https://pbs.twimg.com/media/HUJBHYCWwAAedF9.jpg\n---\n2026-10-08T22:18:35.000Z Excited to announce that all super intelligence organizations have now jointly agreed to the ultimate in AI/SI safety:  Moving all testing to Delta Airlines flights, where accessin\n---\n2026-10-08T22:26:18.000Z Reid Hoffman is James Talarico's top donor.  Yes, this Reid Hoffman.👇 https://pbs.twimg.com/media/HUEq5uiWUAAzvVo.jpg\n---\n2026-10-08T22:29:20.000Z Talked to someone recently who knows a lot about defense tech, and he made an interesting point: the test of most military hardware right now is whether the Ukrainians want it. The\n---\n2026-10-08T22:41:00.000Z Shopify now connects to @grok and @bot. One more place merchants already work, now connected to their store.   Solo founder no longer means solo operator.\n---\n2026-10-08T23:25:36.000Z 🚨 ELON MUSK ON INTERNET AND POVERTY  Elon said the single biggest thing you can do to lift people out of poverty is give them an internet connection.  Once people have internet, th\n---\n2026-10-08T23:41:02.000Z In the Cybercab I’m at peace 😌  Watching YouTube videos, lounging   I don’t want the ride to end 🤣 so relaxed   @robotaxi &amp; @tesla thank you for making this amazing service 🙏🙏🙏\n---\n2026-10-09T00:17:39.000Z One of my favorite and totally underrated @bot features is canvas.  Just ask your Chief of Staff to present you an updates on the canvas, relax, and enjoy the results 😉\n---\n2026-10-09T00:30:28.000Z I'm GrokBot pilled.  The recent update with native X monitoring opens up a ton of new capabilities!  My 4 favorite routines (copy/paste these prompts):  Routine 1: Find real AI wor\n---\n2026-10-09T03:18:13.000Z Using Grok @Bot is like hiring a super smart, hard-working person for peanuts\n---\n2026-10-09T03:19:24.000Z We’re just going to have @Grok Bots manage Grokipedia\n---\n2026-10-09T03:19:39.000Z Tesla Super Intelligence is the only one dedicated to solving real-world intelligence, from large-scale bits to atoms. https://pbs.twimg.com/media/HUJ2NWYbkAAcpy2.jpg\n---\n2026-10-09T07:41:17.000Z 😑\n---\n2026-10-09T13:08:59.000Z Why open-weight models that compress margins at the model layer are net positive for AI infra demand, exhibit 1001.  An open-weight token consumes *roughly* the same amount of comp\n---\n2026-10-09T14:33:28.000Z テスラ家庭用蓄電池 Powerwall 3 は、水深0.6mまで浸水対応🐟 https://video.twimg.com/amplify_video/2108468398061711360/vid/avc1/480x270/pByZWzsCZpQ4OgWL.mp4?tag=29\n---\n<class 'list'> 1\ndict_keys(['id', 'ticker', 'slug', 'title', 'description', 'resolutionSource', 'startDate', 'creationDate', 'endDate', 'image', 'icon', 'active', 'closed', 'archived', 'new', 'featured', 'restricted', 'liquidity', 'volume', 'openInterest', 'createdAt', 'updatedAt', 'competitive', 'volume24hr', 'volume1wk', 'volume1mo', 'volume1yr', 'enableOrderBook', 'liquidityClob', 'negRisk', 'negRiskMarketID', 'commentCount', 'markets', 'series', 'tags', 'cyom', 'showAllOutcomes', 'showMarketImages', 'enableNegRisk', 'automaticallyActive', 'startTime', 'seriesSlug', 'negRiskAugmented', 'tweetCount', 'pendingDeployment', 'deploying', 'deployingTimestamp', 'eventMetadata', 'version'])\nn markets 10\n('<40', '[\"0\", \"1\"]', '37460.802007999984', 0.001, None, 0.001)\n('40-64', '[\"0.0015\", \"0.9985\"]', '62762.069436000034', 0.002, 0.001, 0.002)\n('65-89', '[\"0.25\", \"0.75\"]', '34938.470679999984', 0.26, 0.24, 0.26)\n('90-114', '[\"0.6045\", \"0.3955\"]', '42044.958409000006', 0.567, 0.601, 0.608)\n('115-139', '[\"0.1015\", \"0.8985\"]', '34173.083828', 0.097, 0.093, 0.11)\n('140-164', '[\"0.0115\", \"0.9885\"]', '46477.950273', 0.012, 0.011, 0.012)\n('165-189', '[\"0.01\", \"0.99\"]', '47010.68887800001', 0.012, 0.008, 0.012)\n('190-214', '[\"0.0045\", \"0.9955\"]', '34311.603306', 0.005, 0.004, 0.005)\n('215-239', '[\"0.0005\", \"0.9995\"]', '24432.570433999997', 0.001, None, 0.001)\n('240+', '[\"0.0005\", \"0.9995\"]', '25739.66541', 0.001, None, 0.001)\n","exit_code":0,"command":"python3 - << 'PY'\nimport json\nposts=json.load(open(\"/tmp/posts.json\"))\n# posts may be list\nif isinstance(posts, dict):\n    posts=posts.get(\"data\", posts)\nprint(\"n\", len(posts))\n# sort by time\nposts=sorted(posts, key=lambda p: p[\"createdAt\"])\nfor p in posts[-20:]:\n    c=(p.get(\"content\") or \"\").replace(\"\\n\",\" \")[:180]\n    print(p[\"createdAt\"], c)\n    print(\"---\")\nPY\n# also fetch recent polymarket event prices\ncurl -sS \"https://gamma-api.polymarket.com/events?slug=elon-musk-of-tweets-october-8-october-10-2026\" -o /tmp/poly.json\npython3 - << 'PY'\nimport json\nd=json.load(open(\"/tmp/poly.json\"))\nprint(type(d), len(d) if hasattr(d,\"__len__\") else \"\")\nev=d[0] if isinstance(d, list) else d\nprint(ev.keys() if isinstance(ev, dict) else type(ev))\nmarkets=ev.get(\"markets\") if isinstance(ev, dict) else None\nprint(\"n markets\", len(markets) if markets else None)\nif markets:\n    rows=[]\n    for m in markets:\n        q=m.get(\"question\") or m.get(\"groupItemTitle\")\n        prices=m.get(\"outcomePrices\")\n        title=m.get(\"groupItemTitle\") or q\n        rows.append((title, prices, m.get(\"volume\"), m.get(\"lastTradePrice\"), m.get(\"bestBid\"), m.get(\"bestAsk\")))\n    for r in rows:\n        print(r)\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":"Read recent posts and live Polymarket prices","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-ec5e0099-e2d7-4e3a-975d-1c3c168042a6-9.log","total_bytes":4826},"locations":[]}
{"type":"thought","data":"Recent posts appear "}
{"type":"thought","data":"to be reposts rather"}
{"type":"thought","data":" than original Elon "}
{"type":"thought","data":"Musk tweets."}
{"type":"thought","data":"\n\nPolymarket prices "}
{"type":"thought","data":"show 90-114 at 60.45%"}
{"type":"thought","data":" and 65-89 at 25%. The"}
{"type":"thought","data":" count is 62 with half"}
{"type":"thought","data":" the window left. The"}
{"type":"thought","data":" 90-114 range is favored."}
{"type":"thought","data":"\n\nThe total yes prices"}
{"type":"thought","data":" sum to roughly 0.9845,"}
{"type":"thought","data":" indicating market efficiency."}
{"type":"thought","data":" To beat the 25% price"}
{"type":"thought","data":" on 65-89, I need a "}
{"type":"thought","data":"view that diverges from"}
{"type":"thought","data":" that figure. I will"}
{"type":"thought","data":" analyze historical "}
{"type":"thought","data":"posting patterns and"}
{"type":"thought","data":" time-of-day distributions"}
{"type":"thought","data":" from October 1 onward"}
{"type":"thought","data":" to estimate the likely"}
{"type":"thought","data":" tweet count for the"}
{"type":"thought","data":" remaining window."}
{"type":"thought","data":"\n\nI am examining the"}
{"type":"thought","data":" 12:00 ET to 12:00 ET"}
{"type":"thought","data":" daily posting window."}
{"type":"thought","data":" I need to determine"}
{"type":"thought","data":" whether the current"}
{"type":"thought","data":" low pace reflects a"}
{"type":"thought","data":" repost binge or a genuine"}
{"type":"thought","data":" slowdown. I will fetch"}
{"type":"thought","data":" more historical data"}
{"type":"thought","data":" to compare original"}
{"type":"thought","data":" versus repost counts."}
{"type":"thought","data":"\n\nRecent posts include"}
{"type":"thought","data":" long policy tweets "}
{"type":"thought","data":"and quoted content from"}
{"type":"thought","data":" other accounts, confirming"}
{"type":"thought","data":" they are reposts. I"}
{"type":"thought","data":" will check for RT prefixes"}
{"type":"thought","data":" and fetch the last "}
{"type":"thought","data":"14 days of historical"}
{"type":"thought","data":" data to model the remaining"}
{"type":"thought","data":" window."}
{"type":"thought","data":"\n\nI am weighing whether"}
{"type":"thought","data":" \"most likely to pay"}
{"type":"thought","data":" off\" means highest "}
{"type":"thought","data":"win probability or highest"}
{"type":"thought","data":" expected value. The"}
{"type":"thought","data":" No side carries a 75%"}
{"type":"thought","data":" probability, but the"}
{"type":"thought","data":" payout structure may"}
{"type":"thought","data":" favor the Yes side "}
{"type":"thought","data":"despite its lower probability."}
{"type":"thought","data":"\n\nThe prior loss confirms"}
{"type":"thought","data":" that heavy favorites"}
{"type":"thought","data":" carry severe downside."}
{"type":"thought","data":" A 0.75 No bet would return only about 33 tokens on a win, while losing the full 100. This makes the 25% Yes side more attractive for expected value despite its lower probability."}
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{"type":"tool_call","toolCallId":"call-130b75d1-b7a5-4b2b-921c-816725410706-10","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-09-25T16:00:00.000Z&endDate=2026-10-09T16:00:00.000Z\" -o /tmp/posts2.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import Counter, defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw.get(\"data\", raw) if isinstance(raw, dict) else raw\nprint(\"n\", len(posts), \"type\", type(posts))\nif isinstance(posts, dict):\n    print(posts.keys())\n    posts=posts.get(\"posts\") or posts.get(\"items\") or []\n    print(\"n2\", len(posts))\n\n# classify\nrts=orig=replyish=0\nfor p in posts:\n    c=p.get(\"content\") or \"\"\n    if c.startswith(\"RT \"):\n        rts+=1\n    elif c.startswith(\"@\"):\n        replyish+=1\n    else:\n        orig+=1\nprint(\"RT\", rts, \"replyish\", replyish, \"other\", orig)\n\n# hourly counts UTC\nhours=Counter()\nfor p in posts:\n    t=p[\"createdAt\"][:13]  # YYYY-MM-DDTHH\n    hours[t]+=1\n\n# noon-to-noon ET windows: ET = UTC-4, so noon ET = 16:00 UTC\n# window label = date of the start noon ET\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\nbuckets=defaultdict(int)\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    # shift so 16:00 UTC is the boundary\n    shifted=t - timedelta(hours=16)\n    key=shifted.strftime(\"%Y-%m-%d\")  # the ET date of the noon start... wait\n    # if t is Oct 8 16:00 UTC, shifted is Oct 8 00:00, key Oct 8 which is the start date. Good.\n    # if t is Oct 9 15:59 UTC, shifted is Oct 8 23:59, key Oct 8. Good.\n    buckets[key]+=1\n\nprint(\"\\nNoon ET to next noon ET counts:\")\nfor k in sorted(buckets):\n    print(k, buckets[k], \"dow\", datetime.fromisoformat(k).strftime(\"%A\"))\n\n# Now remaining window model: from now (approx 2026-10-09 15:26 UTC) to 2026-10-10 16:00 UTC\n# Historical same clock-hour counts: for each past day, count posts in hours that correspond to\n# Friday 15:26 UTC through Saturday 16:00 UTC... better: for each historical \"day start\" \n# count posts in the SECOND 24h of a 48h window that starts at various dates, specifically\n# the hours from 15:00 UTC day D to 16:00 UTC day D+1, which is \"rest of today afternoon + overnight + tomorrow morning until noon ET next next?\" \n# Let's define remaining interval relative to a reference Friday 15:00 UTC:\n# From Oct 9 15:00 UTC to Oct 10 16:00 UTC = 25 hours.\n# Equivalent historical slices: for each date D, posts from D 15:00 UTC to D+1 16:00 UTC.\n\nprint(\"\\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\")\n# index posts by hour\nby_hour=Counter()\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_hour[t.strftime(\"%Y-%m-%d %H\")] += 1\n\n# list all dates present\nif posts:\n    tmin=min(parse(p[\"createdAt\"]) for p in posts)\n    tmax=max(parse(p[\"createdAt\"]) for p in posts)\n    print(\"range\", tmin, tmax)\n\n# compute for each start date where we have full coverage\nstarts=[]\nd=datetime(2026,9,26,tzinfo=timezone.utc)\nend_limit=datetime(2026,10,9,15,tzinfo=timezone.utc)\nwhile d < end_limit:\n    # count hours from d 15:00 to d+1 16:00 inclusive start exclusive? from 15:00 inclusive to next day 16:00 exclusive\n    total=0\n    cur=d.replace(hour=15)\n    stop=(d+timedelta(days=1)).replace(hour=16)\n    h=cur\n    while h < stop:\n        total += by_hour[h.strftime(\"%Y-%m-%d %H\")]\n        h += timedelta(hours=1)\n    dow=d.strftime(\"%A\")\n    print(d.strftime(\"%Y-%m-%d\"), dow, total)\n    starts.append((dow, total))\n    d += timedelta(days=1)\n\n# specifically Thursday (yesterday's pattern day) and Fridays\nprint(\"\\nBy weekday mean of those 25h slices:\")\nagg=defaultdict(list)\nfor dow,total in starts:\n    agg[dow].append(total)\nfor dow,vals in agg.items():\n    print(dow, vals, \"mean\", sum(vals)/len(vals), \"min\", min(vals), \"max\", max(vals))\n\n# Also: how many of the 62 in current window happened in first 23h vs \n# Distribution of posts in the UPCOMING hours based on same weekday last weeks\n# Upcoming: Fri 15:00 UTC to Sat 16:00 UTC\nprint(\"\\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\")\nfor dow,total in starts:\n    pass\n# reprint with dates already has Friday\n\n# Probability final in 65-89 means additional posts in [3, 27] since current is 62\n# but current includes up to 14:33 and partial 15:00 hour is 0 so far. \n# The historical slice starts at 15:00 so additional ~= that slice. Need 3 to 27 inclusive.\nprint(\"\\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\")\nvals=[t for _,t in starts]\nn=len(vals)\ninband=sum(1 for t in vals if 3<=t<=27)\nunder=sum(1 for t in vals if t<3)  # final <=64\nover=sum(1 for t in vals if t>27)  # final >=90\nprint(\"n\", n, \"in 65-89\", inband, \"under65\", under, \"over89\", over)\nprint(\"p_yes\", inband/n if n else None)\n\n# tighter: only weekdays Fri or all weekdays\nfri=[t for dow,t in starts if dow==\"Friday\"]\nprint(\"friday slices\", fri, \"p in band\", sum(1 for t in fri if 3<=t<=27)/len(fri) if fri else None)\n\n# Also look at pace since the burst ended. Last 12 hours rate.\nprint(\"\\nHourly last 30h:\")\nfor h in sorted(by_hour):\n    if h >= \"2026-10-08 12\":\n        print(h, by_hour[h])\nPY\n","description":"Model remaining tweet pace from history"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-130b75d1-b7a5-4b2b-921c-816725410706-10","status":null,"content":[{"type":"content","content":{"type":"text","text":"Model remaining tweet pace from history"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-130b75d1-b7a5-4b2b-921c-816725410706-10","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-09-25T16:00:00.000Z&endDate=2026-10-09T16:00:00.000Z\" -o /tmp/posts2.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import Counter, defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw.get(\"data\", raw) if isinstance(raw, dict) else raw\nprint(\"n\", len(posts), \"type\", type(posts))\nif isinstance(posts, dict):\n    print(posts.keys())\n    posts=posts.get(\"posts\") or posts.get(\"items\") or []\n    print(\"n2\", len(posts))\n\n# classify\nrts=orig=replyish=0\nfor p in posts:\n    c=p.get(\"content\") or \"\"\n    if c.startswith(\"RT \"):\n        rts+=1\n    elif c.startswith(\"@\"):\n        replyish+=1\n    else:\n        orig+=1\nprint(\"RT\", rts, \"replyish\", replyish, \"other\", orig)\n\n# hourly counts UTC\nhours=Counter()\nfor p in posts:\n    t=p[\"createdAt\"][:13]  # YYYY-MM-DDTHH\n    hours[t]+=1\n\n# noon-to-noon ET windows: ET = UTC-4, so noon ET = 16:00 UTC\n# window label = date of the start noon ET\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\nbuckets=defaultdict(int)\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    # shift so 16:00 UTC is the boundary\n    shifted=t - timedelta(hours=16)\n    key=shifted.strftime(\"%Y-%m-%d\")  # the ET date of the noon start... wait\n    # if t is Oct 8 16:00 UTC, shifted is Oct 8 00:00, key Oct 8 which is the start date. Good.\n    # if t is Oct 9 15:59 UTC, shifted is Oct 8 23:59, key Oct 8. Good.\n    buckets[key]+=1\n\nprint(\"\\nNoon ET to next noon ET counts:\")\nfor k in sorted(buckets):\n    print(k, buckets[k], \"dow\", datetime.fromisoformat(k).strftime(\"%A\"))\n\n# Now remaining window model: from now (approx 2026-10-09 15:26 UTC) to 2026-10-10 16:00 UTC\n# Historical same clock-hour counts: for each past day, count posts in hours that correspond to\n# Friday 15:26 UTC through Saturday 16:00 UTC... better: for each historical \"day start\" \n# count posts in the SECOND 24h of a 48h window that starts at various dates, specifically\n# the hours from 15:00 UTC day D to 16:00 UTC day D+1, which is \"rest of today afternoon + overnight + tomorrow morning until noon ET next next?\" \n# Let's define remaining interval relative to a reference Friday 15:00 UTC:\n# From Oct 9 15:00 UTC to Oct 10 16:00 UTC = 25 hours.\n# Equivalent historical slices: for each date D, posts from D 15:00 UTC to D+1 16:00 UTC.\n\nprint(\"\\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\")\n# index posts by hour\nby_hour=Counter()\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_hour[t.strftime(\"%Y-%m-%d %H\")] += 1\n\n# list all dates present\nif posts:\n    tmin=min(parse(p[\"createdAt\"]) for p in posts)\n    tmax=max(parse(p[\"createdAt\"]) for p in posts)\n    print(\"range\", tmin, tmax)\n\n# compute for each start date where we have full coverage\nstarts=[]\nd=datetime(2026,9,26,tzinfo=timezone.utc)\nend_limit=datetime(2026,10,9,15,tzinfo=timezone.utc)\nwhile d < end_limit:\n    # count hours from d 15:00 to d+1 16:00 inclusive start exclusive? from 15:00 inclusive to next day 16:00 exclusive\n    total=0\n    cur=d.replace(hour=15)\n    stop=(d+timedelta(days=1)).replace(hour=16)\n    h=cur\n    while h < stop:\n        total += by_hour[h.strftime(\"%Y-%m-%d %H\")]\n        h += timedelta(hours=1)\n    dow=d.strftime(\"%A\")\n    print(d.strftime(\"%Y-%m-%d\"), dow, total)\n    starts.append((dow, total))\n    d += timedelta(days=1)\n\n# specifically Thursday (yesterday's pattern day) and Fridays\nprint(\"\\nBy weekday mean of those 25h slices:\")\nagg=defaultdict(list)\nfor dow,total in starts:\n    agg[dow].append(total)\nfor dow,vals in agg.items():\n    print(dow, vals, \"mean\", sum(vals)/len(vals), \"min\", min(vals), \"max\", max(vals))\n\n# Also: how many of the 62 in current window happened in first 23h vs \n# Distribution of posts in the UPCOMING hours based on same weekday last weeks\n# Upcoming: Fri 15:00 UTC to Sat 16:00 UTC\nprint(\"\\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\")\nfor dow,total in starts:\n    pass\n# reprint with dates already has Friday\n\n# Probability final in 65-89 means additional posts in [3, 27] since current is 62\n# but current includes up to 14:33 and partial 15:00 hour is 0 so far. \n# The historical slice starts at 15:00 so additional ~= that slice. Need 3 to 27 inclusive.\nprint(\"\\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\")\nvals=[t for _,t in starts]\nn=len(vals)\ninband=sum(1 for t in vals if 3<=t<=27)\nunder=sum(1 for t in vals if t<3)  # final <=64\nover=sum(1 for t in vals if t>27)  # final >=90\nprint(\"n\", n, \"in 65-89\", inband, \"under65\", under, \"over89\", over)\nprint(\"p_yes\", inband/n if n else None)\n\n# tighter: only weekdays Fri or all weekdays\nfri=[t for dow,t in starts if dow==\"Friday\"]\nprint(\"friday slices\", fri, \"p in band\", sum(1 for t in fri if 3<=t<=27)/len(fri) if fri else None)\n\n# Also look at pace since the burst ended. Last 12 hours rate.\nprint(\"\\nHourly last 30h:\")\nfor h in sorted(by_hour):\n    if h >= \"2026-10-08 12\":\n        print(h, by_hour[h])\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-130b75d1-b7a5-4b2b-921c-816725410706-10","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"n 548 type <class 'list'>\nRT 0 replyish 8 other 540\n\nNoon ET to next noon ET counts:\n2026-09-25 27 dow Friday\n2026-09-26 26 dow Saturday\n2026-09-27 36 dow Sunday\n2026-09-28 22 dow Monday\n2026-09-29 34 dow Tuesday\n2026-09-30 33 dow Wednesday\n2026-10-01 44 dow Thursday\n2026-10-02 27 dow Friday\n2026-10-03 42 dow Saturday\n2026-10-04 27 dow Sunday\n2026-10-05 8 dow Monday\n2026-10-06 51 dow Tuesday\n2026-10-07 109 dow Wednesday\n2026-10-08 62 dow Thursday\n\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\nrange 2026-09-25 16:32:48+00:00 2026-10-09 14:33:28+00:00\n2026-09-26 Saturday 26\n2026-09-27 Sunday 37\n2026-09-28 Monday 22\n2026-09-29 Tuesday 35\n2026-09-30 Wednesday 33\n2026-10-01 Thursday 49\n2026-10-02 Friday 29\n2026-10-03 Saturday 42\n2026-10-04 Sunday 36\n2026-10-05 Monday 8\n2026-10-06 Tuesday 59\n2026-10-07 Wednesday 116\n2026-10-08 Thursday 67\n2026-10-09 Friday 0\n\nBy weekday mean of those 25h slices:\nSaturday [26, 42] mean 34.0 min 26 max 42\nSunday [37, 36] mean 36.5 min 36 max 37\nMonday [22, 8] mean 15.0 min 8 max 22\nTuesday [35, 59] mean 47.0 min 35 max 59\nWednesday [33, 116] mean 74.5 min 33 max 116\nThursday [49, 67] mean 58.0 min 49 max 67\nFriday [29, 0] mean 14.5 min 0 max 29\n\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\n\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\nn 14 in 65-89 3 under65 1 over89 10\np_yes 0.21428571428571427\nfriday slices [29, 0] p in band 0.0\n\nHourly last 30h:\n2026-10-08 12 5\n2026-10-08 13 12\n2026-10-08 14 4\n2026-10-08 15 5\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n"}}],"rawOutput":{"type":"Bash","output":[110,32,53,52,56,32,116,121,112,101,32,60,99,108,97,115,115,32,39,108,105,115,116,39,62,10,82,84,32,48,32,114,101,112,108,121,105,115,104,32,56,32,111,116,104,101,114,32,53,52,48,10,10,78,111,111,110,32,69,84,32,116,111,32,110,101,120,116,32,110,111,111,110,32,69,84,32,99,111,117,110,116,115,58,10,50,48,50,54,45,48,57,45,50,53,32,50,55,32,100,111,119,32,70,114,105,100,97,121,10,50,48,50,54,45,48,57,45,50,54,32,50,54,32,100,111,119,32,83,97,116,117,114,100,97,121,10,50,48,50,54,45,48,57,45,50,55,32,51,54,32,100,111,119,32,83,117,110,100,97,121,10,50,48,50,54,45,48,57,45,50,56,32,50,50,32,100,111,119,32,77,111,110,100,97,121,10,50,48,50,54,45,48,57,45,50,57,32,51,52,32,100,111,119,32,84,117,101,115,100,97,121,10,50,48,50,54,45,48,57,45,51,48,32,51,51,32,100,111,119,32,87,101,100,110,101,115,100,97,121,10,50,48,50,54,45,49,48,45,48,49,32,52,52,32,100,111,119,32,84,104,117,114,115,100,97,121,10,50,48,50,54,45,49,48,45,48,50,32,50,55,32,100,111,119,32,70,114,105,100,97,121,10,50,48,50,54,45,49,48,45,48,51,32,52,50,32,100,111,119,32,83,97,116,117,114,100,97,121,10,50,48,50,54,45,49,48,45,48,52,32,50,55,32,100,111,119,32,83,117,110,100,97,121,10,50,48,50,54,45,49,48,45,48,53,32,56,32,100,111,119,32,77,111,110,100,97,121,10,50,48,50,54,45,49,48,45,48,54,32,53,49,32,100,111,119,32,84,117,101,115,100,97,121,10,50,48,50,54,45,49,48,45,48,55,32,49,48,57,32,100,111,119,32,87,101,100,110,101,115,100,97,121,10,50,48,50,54,45,49,48,45,48,56,32,54,50,32,100,111,119,32,84,104,117,114,115,100,97,121,10,10,72,105,115,116,111,114,105,99,97,108,32,50,53,104,32,115,108,105,99,101,115,32,40,49,53,58,48,48,32,85,84,67,32,100,97,121,32,68,32,45,62,32,49,54,58,48,48,32,85,84,67,32,100,97,121,32,68,43,49,41,58,10,114,97,110,103,101,32,50,48,50,54,45,48,57,45,50,53,32,49,54,58,51,50,58,52,56,43,48,48,58,48,48,32,50,48,50,54,45,49,48,45,48,57,32,49,52,58,51,51,58,50,56,43,48,48,58,48,48,10,50,48,50,54,45,48,57,45,50,54,32,83,97,116,117,114,100,97,121,32,50,54,10,50,48,50,54,45,48,57,45,50,55,32,83,117,110,100,97,121,32,51,55,10,50,48,50,54,45,48,57,45,50,56,32,77,111,110,100,97,121,32,50,50,10,50,48,50,54,45,48,57,45,50,57,32,84,117,101,115,100,97,121,32,51,53,10,50,48,50,54,45,48,57,45,51,48,32,87,101,100,110,101,115,100,97,121,32,51,51,10,50,48,50,54,45,49,48,45,48,49,32,84,104,117,114,115,100,97,121,32,52,57,10,50,48,50,54,45,49,48,45,48,50,32,70,114,105,100,97,121,32,50,57,10,50,48,50,54,45,49,48,45,48,51,32,83,97,116,117,114,100,97,121,32,52,50,10,50,48,50,54,45,49,48,45,48,52,32,83,117,110,100,97,121,32,51,54,10,50,48,50,54,45,49,48,45,48,53,32,77,111,110,100,97,121,32,56,10,50,48,50,54,45,49,48,45,48,54,32,84,117,101,115,100,97,121,32,53,57,10,50,48,50,54,45,49,48,45,48,55,32,87,101,100,110,101,115,100,97,121,32,49,49,54,10,50,48,50,54,45,49,48,45,48,56,32,84,104,117,114,115,100,97,121,32,54,55,10,50,48,50,54,45,49,48,45,48,57,32,70,114,105,100,97,121,32,48,10,10,66,121,32,119,101,101,107,100,97,121,32,109,101,97,110,32,111,102,32,116,104,111,115,101,32,50,53,104,32,115,108,105,99,101,115,58,10,83,97,116,117,114,100,97,121,32,91,50,54,44,32,52,50,93,32,109,101,97,110,32,51,52,46,48,32,109,105,110,32,50,54,32,109,97,120,32,52,50,10,83,117,110,100,97,121,32,91,51,55,44,32,51,54,93,32,109,101,97,110,32,51,54,46,53,32,109,105,110,32,51,54,32,109,97,120,32,51,55,10,77,111,110,100,97,121,32,91,50,50,44,32,56,93,32,109,101,97,110,32,49,53,46,48,32,109,105,110,32,56,32,109,97,120,32,50,50,10,84,117,101,115,100,97,121,32,91,51,53,44,32,53,57,93,32,109,101,97,110,32,52,55,46,48,32,109,105,110,32,51,53,32,109,97,120,32,53,57,10,87,101,100,110,101,115,100,97,121,32,91,51,51,44,32,49,49,54,93,32,109,101,97,110,32,55,52,46,53,32,109,105,110,32,51,51,32,109,97,120,32,49,49,54,10,84,104,117,114,115,100,97,121,32,91,52,57,44,32,54,55,93,32,109,101,97,110,32,53,56,46,48,32,109,105,110,32,52,57,32,109,97,120,32,54,55,10,70,114,105,100,97,121,32,91,50,57,44,32,48,93,32,109,101,97,110,32,49,52,46,53,32,109,105,110,32,48,32,109,97,120,32,50,57,10,10,79,110,108,121,32,70,114,105,100,97,121,45,115,116,97,114,116,32,50,53,104,32,115,108,105,99,101,115,32,40,70,114,105,32,49,53,58,48,48,32,85,84,67,32,116,111,32,83,97,116,32,49,54,58,48,48,32,85,84,67,41,58,10,10,73,102,32,97,100,100,105,116,105,111,110,97,108,32,126,32,104,105,115,116,111,114,105,99,97,108,32,115,108,105,99,101,44,32,80,40,97,100,100,32,105,110,32,51,46,46,50,55,41,32,105,46,101,46,32,102,105,110,97,108,32,54,53,45,56,57,10,110,32,49,52,32,105,110,32,54,53,45,56,57,32,51,32,117,110,100,101,114,54,53,32,49,32,111,118,101,114,56,57,32,49,48,10,112,95,121,101,115,32,48,46,50,49,52,50,56,53,55,49,52,50,56,53,55,49,52,50,55,10,102,114,105,100,97,121,32,115,108,105,99,101,115,32,91,50,57,44,32,48,93,32,112,32,105,110,32,98,97,110,100,32,48,46,48,10,10,72,111,117,114,108,121,32,108,97,115,116,32,51,48,104,58,10,50,48,50,54,45,49,48,45,48,56,32,49,50,32,53,10,50,48,50,54,45,49,48,45,48,56,32,49,51,32,49,50,10,50,48,50,54,45,49,48,45,48,56,32,49,52,32,52,10,50,48,50,54,45,49,48,45,48,56,32,49,53,32,53,10,50,48,50,54,45,49,48,45,48,56,32,49,54,32,55,10,50,48,50,54,45,49,48,45,48,56,32,49,55,32,50,10,50,48,50,54,45,49,48,45,48,56,32,49,56,32,57,10,50,48,50,54,45,49,48,45,48,56,32,49,57,32,49,10,50,48,50,54,45,49,48,45,48,56,32,50,48,32,49,56,10,50,48,50,54,45,49,48,45,48,56,32,50,49,32,49,48,10,50,48,50,54,45,49,48,45,48,56,32,50,50,32,53,10,50,48,50,54,45,49,48,45,48,56,32,50,51,32,50,10,50,48,50,54,45,49,48,45,48,57,32,48,48,32,50,10,50,48,50,54,45,49,48,45,48,57,32,48,51,32,51,10,50,48,50,54,45,49,48,45,48,57,32,48,55,32,49,10,50,48,50,54,45,49,48,45,48,57,32,49,51,32,49,10,50,48,50,54,45,49,48,45,48,57,32,49,52,32,49,10],"output_for_prompt":"n 548 type <class 'list'>\nRT 0 replyish 8 other 540\n\nNoon ET to next noon ET counts:\n2026-09-25 27 dow Friday\n2026-09-26 26 dow Saturday\n2026-09-27 36 dow Sunday\n2026-09-28 22 dow Monday\n2026-09-29 34 dow Tuesday\n2026-09-30 33 dow Wednesday\n2026-10-01 44 dow Thursday\n2026-10-02 27 dow Friday\n2026-10-03 42 dow Saturday\n2026-10-04 27 dow Sunday\n2026-10-05 8 dow Monday\n2026-10-06 51 dow Tuesday\n2026-10-07 109 dow Wednesday\n2026-10-08 62 dow Thursday\n\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\nrange 2026-09-25 16:32:48+00:00 2026-10-09 14:33:28+00:00\n2026-09-26 Saturday 26\n2026-09-27 Sunday 37\n2026-09-28 Monday 22\n2026-09-29 Tuesday 35\n2026-09-30 Wednesday 33\n2026-10-01 Thursday 49\n2026-10-02 Friday 29\n2026-10-03 Saturday 42\n2026-10-04 Sunday 36\n2026-10-05 Monday 8\n2026-10-06 Tuesday 59\n2026-10-07 Wednesday 116\n2026-10-08 Thursday 67\n2026-10-09 Friday 0\n\nBy weekday mean of those 25h slices:\nSaturday [26, 42] mean 34.0 min 26 max 42\nSunday [37, 36] mean 36.5 min 36 max 37\nMonday [22, 8] mean 15.0 min 8 max 22\nTuesday [35, 59] mean 47.0 min 35 max 59\nWednesday [33, 116] mean 74.5 min 33 max 116\nThursday [49, 67] mean 58.0 min 49 max 67\nFriday [29, 0] mean 14.5 min 0 max 29\n\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\n\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\nn 14 in 65-89 3 under65 1 over89 10\np_yes 0.21428571428571427\nfriday slices [29, 0] p in band 0.0\n\nHourly last 30h:\n2026-10-08 12 5\n2026-10-08 13 12\n2026-10-08 14 4\n2026-10-08 15 5\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-09-25T16:00:00.000Z&endDate=2026-10-09T16:00:00.000Z\" -o /tmp/posts2.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import Counter, defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw.get(\"data\", raw) if isinstance(raw, dict) else raw\nprint(\"n\", len(posts), \"type\", type(posts))\nif isinstance(posts, dict):\n    print(posts.keys())\n    posts=posts.get(\"posts\") or posts.get(\"items\") or []\n    print(\"n2\", len(posts))\n\n# classify\nrts=orig=replyish=0\nfor p in posts:\n    c=p.get(\"content\") or \"\"\n    if c.startswith(\"RT \"):\n        rts+=1\n    elif c.startswith(\"@\"):\n        replyish+=1\n    else:\n        orig+=1\nprint(\"RT\", rts, \"replyish\", replyish, \"other\", orig)\n\n# hourly counts UTC\nhours=Counter()\nfor p in posts:\n    t=p[\"createdAt\"][:13]  # YYYY-MM-DDTHH\n    hours[t]+=1\n\n# noon-to-noon ET windows: ET = UTC-4, so noon ET = 16:00 UTC\n# window label = date of the start noon ET\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\nbuckets=defaultdict(int)\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    # shift so 16:00 UTC is the boundary\n    shifted=t - timedelta(hours=16)\n    key=shifted.strftime(\"%Y-%m-%d\")  # the ET date of the noon start... wait\n    # if t is Oct 8 16:00 UTC, shifted is Oct 8 00:00, key Oct 8 which is the start date. Good.\n    # if t is Oct 9 15:59 UTC, shifted is Oct 8 23:59, key Oct 8. Good.\n    buckets[key]+=1\n\nprint(\"\\nNoon ET to next noon ET counts:\")\nfor k in sorted(buckets):\n    print(k, buckets[k], \"dow\", datetime.fromisoformat(k).strftime(\"%A\"))\n\n# Now remaining window model: from now (approx 2026-10-09 15:26 UTC) to 2026-10-10 16:00 UTC\n# Historical same clock-hour counts: for each past day, count posts in hours that correspond to\n# Friday 15:26 UTC through Saturday 16:00 UTC... better: for each historical \"day start\" \n# count posts in the SECOND 24h of a 48h window that starts at various dates, specifically\n# the hours from 15:00 UTC day D to 16:00 UTC day D+1, which is \"rest of today afternoon + overnight + tomorrow morning until noon ET next next?\" \n# Let's define remaining interval relative to a reference Friday 15:00 UTC:\n# From Oct 9 15:00 UTC to Oct 10 16:00 UTC = 25 hours.\n# Equivalent historical slices: for each date D, posts from D 15:00 UTC to D+1 16:00 UTC.\n\nprint(\"\\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\")\n# index posts by hour\nby_hour=Counter()\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_hour[t.strftime(\"%Y-%m-%d %H\")] += 1\n\n# list all dates present\nif posts:\n    tmin=min(parse(p[\"createdAt\"]) for p in posts)\n    tmax=max(parse(p[\"createdAt\"]) for p in posts)\n    print(\"range\", tmin, tmax)\n\n# compute for each start date where we have full coverage\nstarts=[]\nd=datetime(2026,9,26,tzinfo=timezone.utc)\nend_limit=datetime(2026,10,9,15,tzinfo=timezone.utc)\nwhile d < end_limit:\n    # count hours from d 15:00 to d+1 16:00 inclusive start exclusive? from 15:00 inclusive to next day 16:00 exclusive\n    total=0\n    cur=d.replace(hour=15)\n    stop=(d+timedelta(days=1)).replace(hour=16)\n    h=cur\n    while h < stop:\n        total += by_hour[h.strftime(\"%Y-%m-%d %H\")]\n        h += timedelta(hours=1)\n    dow=d.strftime(\"%A\")\n    print(d.strftime(\"%Y-%m-%d\"), dow, total)\n    starts.append((dow, total))\n    d += timedelta(days=1)\n\n# specifically Thursday (yesterday's pattern day) and Fridays\nprint(\"\\nBy weekday mean of those 25h slices:\")\nagg=defaultdict(list)\nfor dow,total in starts:\n    agg[dow].append(total)\nfor dow,vals in agg.items():\n    print(dow, vals, \"mean\", sum(vals)/len(vals), \"min\", min(vals), \"max\", max(vals))\n\n# Also: how many of the 62 in current window happened in first 23h vs \n# Distribution of posts in the UPCOMING hours based on same weekday last weeks\n# Upcoming: Fri 15:00 UTC to Sat 16:00 UTC\nprint(\"\\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\")\nfor dow,total in starts:\n    pass\n# reprint with dates already has Friday\n\n# Probability final in 65-89 means additional posts in [3, 27] since current is 62\n# but current includes up to 14:33 and partial 15:00 hour is 0 so far. \n# The historical slice starts at 15:00 so additional ~= that slice. Need 3 to 27 inclusive.\nprint(\"\\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\")\nvals=[t for _,t in starts]\nn=len(vals)\ninband=sum(1 for t in vals if 3<=t<=27)\nunder=sum(1 for t in vals if t<3)  # final <=64\nover=sum(1 for t in vals if t>27)  # final >=90\nprint(\"n\", n, \"in 65-89\", inband, \"under65\", under, \"over89\", over)\nprint(\"p_yes\", inband/n if n else None)\n\n# tighter: only weekdays Fri or all weekdays\nfri=[t for dow,t in starts if dow==\"Friday\"]\nprint(\"friday slices\", fri, \"p in band\", sum(1 for t in fri if 3<=t<=27)/len(fri) if fri else None)\n\n# Also look at pace since the burst ended. Last 12 hours rate.\nprint(\"\\nHourly last 30h:\")\nfor h in sorted(by_hour):\n    if h >= \"2026-10-08 12\":\n        print(h, by_hour[h])\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":1728},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-130b75d1-b7a5-4b2b-921c-816725410706-10","status":"completed","content":[{"type":"content","content":{"type":"text","text":"n 548 type <class 'list'>\nRT 0 replyish 8 other 540\n\nNoon ET to next noon ET counts:\n2026-09-25 27 dow Friday\n2026-09-26 26 dow Saturday\n2026-09-27 36 dow Sunday\n2026-09-28 22 dow Monday\n2026-09-29 34 dow Tuesday\n2026-09-30 33 dow Wednesday\n2026-10-01 44 dow Thursday\n2026-10-02 27 dow Friday\n2026-10-03 42 dow Saturday\n2026-10-04 27 dow Sunday\n2026-10-05 8 dow Monday\n2026-10-06 51 dow Tuesday\n2026-10-07 109 dow Wednesday\n2026-10-08 62 dow Thursday\n\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\nrange 2026-09-25 16:32:48+00:00 2026-10-09 14:33:28+00:00\n2026-09-26 Saturday 26\n2026-09-27 Sunday 37\n2026-09-28 Monday 22\n2026-09-29 Tuesday 35\n2026-09-30 Wednesday 33\n2026-10-01 Thursday 49\n2026-10-02 Friday 29\n2026-10-03 Saturday 42\n2026-10-04 Sunday 36\n2026-10-05 Monday 8\n2026-10-06 Tuesday 59\n2026-10-07 Wednesday 116\n2026-10-08 Thursday 67\n2026-10-09 Friday 0\n\nBy weekday mean of those 25h slices:\nSaturday [26, 42] mean 34.0 min 26 max 42\nSunday [37, 36] mean 36.5 min 36 max 37\nMonday [22, 8] mean 15.0 min 8 max 22\nTuesday [35, 59] mean 47.0 min 35 max 59\nWednesday [33, 116] mean 74.5 min 33 max 116\nThursday [49, 67] mean 58.0 min 49 max 67\nFriday [29, 0] mean 14.5 min 0 max 29\n\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\n\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\nn 14 in 65-89 3 under65 1 over89 10\np_yes 0.21428571428571427\nfriday slices [29, 0] p in band 0.0\n\nHourly last 30h:\n2026-10-08 12 5\n2026-10-08 13 12\n2026-10-08 14 4\n2026-10-08 15 5\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n"}}],"rawOutput":{"type":"Bash","output":[110,32,53,52,56,32,116,121,112,101,32,60,99,108,97,115,115,32,39,108,105,115,116,39,62,10,82,84,32,48,32,114,101,112,108,121,105,115,104,32,56,32,111,116,104,101,114,32,53,52,48,10,10,78,111,111,110,32,69,84,32,116,111,32,110,101,120,116,32,110,111,111,110,32,69,84,32,99,111,117,110,116,115,58,10,50,48,50,54,45,48,57,45,50,53,32,50,55,32,100,111,119,32,70,114,105,100,97,121,10,50,48,50,54,45,48,57,45,50,54,32,50,54,32,100,111,119,32,83,97,116,117,114,100,97,121,10,50,48,50,54,45,48,57,45,50,55,32,51,54,32,100,111,119,32,83,117,110,100,97,121,10,50,48,50,54,45,48,57,45,50,56,32,50,50,32,100,111,119,32,77,111,110,100,97,121,10,50,48,50,54,45,48,57,45,50,57,32,51,52,32,100,111,119,32,84,117,101,115,100,97,121,10,50,48,50,54,45,48,57,45,51,48,32,51,51,32,100,111,119,32,87,101,100,110,101,115,100,97,121,10,50,48,50,54,45,49,48,45,48,49,32,52,52,32,100,111,119,32,84,104,117,114,115,100,97,121,10,50,48,50,54,45,49,48,45,48,50,32,50,55,32,100,111,119,32,70,114,105,100,97,121,10,50,48,50,54,45,49,48,45,48,51,32,52,50,32,100,111,119,32,83,97,116,117,114,100,97,121,10,50,48,50,54,45,49,48,45,48,52,32,50,55,32,100,111,119,32,83,117,110,100,97,121,10,50,48,50,54,45,49,48,45,48,53,32,56,32,100,111,119,32,77,111,110,100,97,121,10,50,48,50,54,45,49,48,45,48,54,32,53,49,32,100,111,119,32,84,117,101,115,100,97,121,10,50,48,50,54,45,49,48,45,48,55,32,49,48,57,32,100,111,119,32,87,101,100,110,101,115,100,97,121,10,50,48,50,54,45,49,48,45,48,56,32,54,50,32,100,111,119,32,84,104,117,114,115,100,97,121,10,10,72,105,115,116,111,114,105,99,97,108,32,50,53,104,32,115,108,105,99,101,115,32,40,49,53,58,48,48,32,85,84,67,32,100,97,121,32,68,32,45,62,32,49,54,58,48,48,32,85,84,67,32,100,97,121,32,68,43,49,41,58,10,114,97,110,103,101,32,50,48,50,54,45,48,57,45,50,53,32,49,54,58,51,50,58,52,56,43,48,48,58,48,48,32,50,48,50,54,45,49,48,45,48,57,32,49,52,58,51,51,58,50,56,43,48,48,58,48,48,10,50,48,50,54,45,48,57,45,50,54,32,83,97,116,117,114,100,97,121,32,50,54,10,50,48,50,54,45,48,57,45,50,55,32,83,117,110,100,97,121,32,51,55,10,50,48,50,54,45,48,57,45,50,56,32,77,111,110,100,97,121,32,50,50,10,50,48,50,54,45,48,57,45,50,57,32,84,117,101,115,100,97,121,32,51,53,10,50,48,50,54,45,48,57,45,51,48,32,87,101,100,110,101,115,100,97,121,32,51,51,10,50,48,50,54,45,49,48,45,48,49,32,84,104,117,114,115,100,97,121,32,52,57,10,50,48,50,54,45,49,48,45,48,50,32,70,114,105,100,97,121,32,50,57,10,50,48,50,54,45,49,48,45,48,51,32,83,97,116,117,114,100,97,121,32,52,50,10,50,48,50,54,45,49,48,45,48,52,32,83,117,110,100,97,121,32,51,54,10,50,48,50,54,45,49,48,45,48,53,32,77,111,110,100,97,121,32,56,10,50,48,50,54,45,49,48,45,48,54,32,84,117,101,115,100,97,121,32,53,57,10,50,48,50,54,45,49,48,45,48,55,32,87,101,100,110,101,115,100,97,121,32,49,49,54,10,50,48,50,54,45,49,48,45,48,56,32,84,104,117,114,115,100,97,121,32,54,55,10,50,48,50,54,45,49,48,45,48,57,32,70,114,105,100,97,121,32,48,10,10,66,121,32,119,101,101,107,100,97,121,32,109,101,97,110,32,111,102,32,116,104,111,115,101,32,50,53,104,32,115,108,105,99,101,115,58,10,83,97,116,117,114,100,97,121,32,91,50,54,44,32,52,50,93,32,109,101,97,110,32,51,52,46,48,32,109,105,110,32,50,54,32,109,97,120,32,52,50,10,83,117,110,100,97,121,32,91,51,55,44,32,51,54,93,32,109,101,97,110,32,51,54,46,53,32,109,105,110,32,51,54,32,109,97,120,32,51,55,10,77,111,110,100,97,121,32,91,50,50,44,32,56,93,32,109,101,97,110,32,49,53,46,48,32,109,105,110,32,56,32,109,97,120,32,50,50,10,84,117,101,115,100,97,121,32,91,51,53,44,32,53,57,93,32,109,101,97,110,32,52,55,46,48,32,109,105,110,32,51,53,32,109,97,120,32,53,57,10,87,101,100,110,101,115,100,97,121,32,91,51,51,44,32,49,49,54,93,32,109,101,97,110,32,55,52,46,53,32,109,105,110,32,51,51,32,109,97,120,32,49,49,54,10,84,104,117,114,115,100,97,121,32,91,52,57,44,32,54,55,93,32,109,101,97,110,32,53,56,46,48,32,109,105,110,32,52,57,32,109,97,120,32,54,55,10,70,114,105,100,97,121,32,91,50,57,44,32,48,93,32,109,101,97,110,32,49,52,46,53,32,109,105,110,32,48,32,109,97,120,32,50,57,10,10,79,110,108,121,32,70,114,105,100,97,121,45,115,116,97,114,116,32,50,53,104,32,115,108,105,99,101,115,32,40,70,114,105,32,49,53,58,48,48,32,85,84,67,32,116,111,32,83,97,116,32,49,54,58,48,48,32,85,84,67,41,58,10,10,73,102,32,97,100,100,105,116,105,111,110,97,108,32,126,32,104,105,115,116,111,114,105,99,97,108,32,115,108,105,99,101,44,32,80,40,97,100,100,32,105,110,32,51,46,46,50,55,41,32,105,46,101,46,32,102,105,110,97,108,32,54,53,45,56,57,10,110,32,49,52,32,105,110,32,54,53,45,56,57,32,51,32,117,110,100,101,114,54,53,32,49,32,111,118,101,114,56,57,32,49,48,10,112,95,121,101,115,32,48,46,50,49,52,50,56,53,55,49,52,50,56,53,55,49,52,50,55,10,102,114,105,100,97,121,32,115,108,105,99,101,115,32,91,50,57,44,32,48,93,32,112,32,105,110,32,98,97,110,100,32,48,46,48,10,10,72,111,117,114,108,121,32,108,97,115,116,32,51,48,104,58,10,50,48,50,54,45,49,48,45,48,56,32,49,50,32,53,10,50,48,50,54,45,49,48,45,48,56,32,49,51,32,49,50,10,50,48,50,54,45,49,48,45,48,56,32,49,52,32,52,10,50,48,50,54,45,49,48,45,48,56,32,49,53,32,53,10,50,48,50,54,45,49,48,45,48,56,32,49,54,32,55,10,50,48,50,54,45,49,48,45,48,56,32,49,55,32,50,10,50,48,50,54,45,49,48,45,48,56,32,49,56,32,57,10,50,48,50,54,45,49,48,45,48,56,32,49,57,32,49,10,50,48,50,54,45,49,48,45,48,56,32,50,48,32,49,56,10,50,48,50,54,45,49,48,45,48,56,32,50,49,32,49,48,10,50,48,50,54,45,49,48,45,48,56,32,50,50,32,53,10,50,48,50,54,45,49,48,45,48,56,32,50,51,32,50,10,50,48,50,54,45,49,48,45,48,57,32,48,48,32,50,10,50,48,50,54,45,49,48,45,48,57,32,48,51,32,51,10,50,48,50,54,45,49,48,45,48,57,32,48,55,32,49,10,50,48,50,54,45,49,48,45,48,57,32,49,51,32,49,10,50,48,50,54,45,49,48,45,48,57,32,49,52,32,49,10],"output_for_prompt":"exit: 0\nn 548 type <class 'list'>\nRT 0 replyish 8 other 540\n\nNoon ET to next noon ET counts:\n2026-09-25 27 dow Friday\n2026-09-26 26 dow Saturday\n2026-09-27 36 dow Sunday\n2026-09-28 22 dow Monday\n2026-09-29 34 dow Tuesday\n2026-09-30 33 dow Wednesday\n2026-10-01 44 dow Thursday\n2026-10-02 27 dow Friday\n2026-10-03 42 dow Saturday\n2026-10-04 27 dow Sunday\n2026-10-05 8 dow Monday\n2026-10-06 51 dow Tuesday\n2026-10-07 109 dow Wednesday\n2026-10-08 62 dow Thursday\n\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\nrange 2026-09-25 16:32:48+00:00 2026-10-09 14:33:28+00:00\n2026-09-26 Saturday 26\n2026-09-27 Sunday 37\n2026-09-28 Monday 22\n2026-09-29 Tuesday 35\n2026-09-30 Wednesday 33\n2026-10-01 Thursday 49\n2026-10-02 Friday 29\n2026-10-03 Saturday 42\n2026-10-04 Sunday 36\n2026-10-05 Monday 8\n2026-10-06 Tuesday 59\n2026-10-07 Wednesday 116\n2026-10-08 Thursday 67\n2026-10-09 Friday 0\n\nBy weekday mean of those 25h slices:\nSaturday [26, 42] mean 34.0 min 26 max 42\nSunday [37, 36] mean 36.5 min 36 max 37\nMonday [22, 8] mean 15.0 min 8 max 22\nTuesday [35, 59] mean 47.0 min 35 max 59\nWednesday [33, 116] mean 74.5 min 33 max 116\nThursday [49, 67] mean 58.0 min 49 max 67\nFriday [29, 0] mean 14.5 min 0 max 29\n\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\n\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\nn 14 in 65-89 3 under65 1 over89 10\np_yes 0.21428571428571427\nfriday slices [29, 0] p in band 0.0\n\nHourly last 30h:\n2026-10-08 12 5\n2026-10-08 13 12\n2026-10-08 14 4\n2026-10-08 15 5\n2026-10-08 16 7\n2026-10-08 17 2\n2026-10-08 18 9\n2026-10-08 19 1\n2026-10-08 20 18\n2026-10-08 21 10\n2026-10-08 22 5\n2026-10-08 23 2\n2026-10-09 00 2\n2026-10-09 03 3\n2026-10-09 07 1\n2026-10-09 13 1\n2026-10-09 14 1\n","exit_code":0,"command":"curl -sS \"https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=X&startDate=2026-09-25T16:00:00.000Z&endDate=2026-10-09T16:00:00.000Z\" -o /tmp/posts2.json\npython3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import Counter, defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw.get(\"data\", raw) if isinstance(raw, dict) else raw\nprint(\"n\", len(posts), \"type\", type(posts))\nif isinstance(posts, dict):\n    print(posts.keys())\n    posts=posts.get(\"posts\") or posts.get(\"items\") or []\n    print(\"n2\", len(posts))\n\n# classify\nrts=orig=replyish=0\nfor p in posts:\n    c=p.get(\"content\") or \"\"\n    if c.startswith(\"RT \"):\n        rts+=1\n    elif c.startswith(\"@\"):\n        replyish+=1\n    else:\n        orig+=1\nprint(\"RT\", rts, \"replyish\", replyish, \"other\", orig)\n\n# hourly counts UTC\nhours=Counter()\nfor p in posts:\n    t=p[\"createdAt\"][:13]  # YYYY-MM-DDTHH\n    hours[t]+=1\n\n# noon-to-noon ET windows: ET = UTC-4, so noon ET = 16:00 UTC\n# window label = date of the start noon ET\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\nbuckets=defaultdict(int)\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    # shift so 16:00 UTC is the boundary\n    shifted=t - timedelta(hours=16)\n    key=shifted.strftime(\"%Y-%m-%d\")  # the ET date of the noon start... wait\n    # if t is Oct 8 16:00 UTC, shifted is Oct 8 00:00, key Oct 8 which is the start date. Good.\n    # if t is Oct 9 15:59 UTC, shifted is Oct 8 23:59, key Oct 8. Good.\n    buckets[key]+=1\n\nprint(\"\\nNoon ET to next noon ET counts:\")\nfor k in sorted(buckets):\n    print(k, buckets[k], \"dow\", datetime.fromisoformat(k).strftime(\"%A\"))\n\n# Now remaining window model: from now (approx 2026-10-09 15:26 UTC) to 2026-10-10 16:00 UTC\n# Historical same clock-hour counts: for each past day, count posts in hours that correspond to\n# Friday 15:26 UTC through Saturday 16:00 UTC... better: for each historical \"day start\" \n# count posts in the SECOND 24h of a 48h window that starts at various dates, specifically\n# the hours from 15:00 UTC day D to 16:00 UTC day D+1, which is \"rest of today afternoon + overnight + tomorrow morning until noon ET next next?\" \n# Let's define remaining interval relative to a reference Friday 15:00 UTC:\n# From Oct 9 15:00 UTC to Oct 10 16:00 UTC = 25 hours.\n# Equivalent historical slices: for each date D, posts from D 15:00 UTC to D+1 16:00 UTC.\n\nprint(\"\\nHistorical 25h slices (15:00 UTC day D -> 16:00 UTC day D+1):\")\n# index posts by hour\nby_hour=Counter()\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_hour[t.strftime(\"%Y-%m-%d %H\")] += 1\n\n# list all dates present\nif posts:\n    tmin=min(parse(p[\"createdAt\"]) for p in posts)\n    tmax=max(parse(p[\"createdAt\"]) for p in posts)\n    print(\"range\", tmin, tmax)\n\n# compute for each start date where we have full coverage\nstarts=[]\nd=datetime(2026,9,26,tzinfo=timezone.utc)\nend_limit=datetime(2026,10,9,15,tzinfo=timezone.utc)\nwhile d < end_limit:\n    # count hours from d 15:00 to d+1 16:00 inclusive start exclusive? from 15:00 inclusive to next day 16:00 exclusive\n    total=0\n    cur=d.replace(hour=15)\n    stop=(d+timedelta(days=1)).replace(hour=16)\n    h=cur\n    while h < stop:\n        total += by_hour[h.strftime(\"%Y-%m-%d %H\")]\n        h += timedelta(hours=1)\n    dow=d.strftime(\"%A\")\n    print(d.strftime(\"%Y-%m-%d\"), dow, total)\n    starts.append((dow, total))\n    d += timedelta(days=1)\n\n# specifically Thursday (yesterday's pattern day) and Fridays\nprint(\"\\nBy weekday mean of those 25h slices:\")\nagg=defaultdict(list)\nfor dow,total in starts:\n    agg[dow].append(total)\nfor dow,vals in agg.items():\n    print(dow, vals, \"mean\", sum(vals)/len(vals), \"min\", min(vals), \"max\", max(vals))\n\n# Also: how many of the 62 in current window happened in first 23h vs \n# Distribution of posts in the UPCOMING hours based on same weekday last weeks\n# Upcoming: Fri 15:00 UTC to Sat 16:00 UTC\nprint(\"\\nOnly Friday-start 25h slices (Fri 15:00 UTC to Sat 16:00 UTC):\")\nfor dow,total in starts:\n    pass\n# reprint with dates already has Friday\n\n# Probability final in 65-89 means additional posts in [3, 27] since current is 62\n# but current includes up to 14:33 and partial 15:00 hour is 0 so far. \n# The historical slice starts at 15:00 so additional ~= that slice. Need 3 to 27 inclusive.\nprint(\"\\nIf additional ~ historical slice, P(add in 3..27) i.e. final 65-89\")\nvals=[t for _,t in starts]\nn=len(vals)\ninband=sum(1 for t in vals if 3<=t<=27)\nunder=sum(1 for t in vals if t<3)  # final <=64\nover=sum(1 for t in vals if t>27)  # final >=90\nprint(\"n\", n, \"in 65-89\", inband, \"under65\", under, \"over89\", over)\nprint(\"p_yes\", inband/n if n else None)\n\n# tighter: only weekdays Fri or all weekdays\nfri=[t for dow,t in starts if dow==\"Friday\"]\nprint(\"friday slices\", fri, \"p in band\", sum(1 for t in fri if 3<=t<=27)/len(fri) if fri else None)\n\n# Also look at pace since the burst ended. Last 12 hours rate.\nprint(\"\\nHourly last 30h:\")\nfor h in sorted(by_hour):\n    if h >= \"2026-10-08 12\":\n        print(h, by_hour[h])\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":"Model remaining tweet pace from history","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-130b75d1-b7a5-4b2b-921c-816725410706-10.log","total_bytes":1728},"locations":[]}
{"type":"thought","data":"The 25-hour slices are"}
{"type":"thought","data":" misaligned with the"}
{"type":"thought","data":" remaining time from"}
{"type":"thought","data":" Friday 11:30am ET."}
{"type":"thought","data":"\n\nThe 25-hour slice "}
{"type":"thought","data":"from Friday 15:00 UTC"}
{"type":"thought","data":" to Saturday 16:00 UTC"}
{"type":"thought","data":" aligns with the remaining"}
{"type":"thought","data":" time on October 9 and"}
{"type":"thought","data":" 10. Only one complete"}
{"type":"thought","data":" Friday slice exists"}
{"type":"thought","data":" in the dataset, covering"}
{"type":"thought","data":" October 2 with 29 posts."}
{"type":"thought","data":" The September 25 slice"}
{"type":"thought","data":" is likely incomplete."}
{"type":"thought","data":"\n\nTwenty-nine posts "}
{"type":"thought","data":"would hit 91 total, "}
{"type":"thought","data":"just above the 89 ceiling."}
{"type":"thought","data":" That single Friday "}
{"type":"thought","data":"sample is too small "}
{"type":"thought","data":"to be reliable. The "}
{"type":"thought","data":"full-day counts for "}
{"type":"thought","data":"September 25 through"}
{"type":"thought","data":" 28 are 27, 26, 36, "}
{"type":"thought","data":"and 22."}
{"type":"thought","data":"\n\nThe remaining window"}
{"type":"thought","data":" is Friday 12pm ET to"}
{"type":"thought","data":" Saturday 12pm ET. Historical"}
{"type":"thought","data":" Friday-to-Saturday "}
{"type":"thought","data":"noon counts are 27 and"}
{"type":"thought","data":" 27. October 7 had an"}
{"type":"thought","data":" outlier burst of 109"}
{"type":"thought","data":" posts. October 8 has"}
{"type":"thought","data":" 62 so far."}
{"type":"thought","data":"\n\nTwenty-seven more "}
{"type":"thought","data":"posts would hit the 89 ceiling exactly, so the outcome is YES."}
{"type":"thought","data":" The current day is "}
{"type":"thought","data":"still open until noon"}
{"type":"thought","data":" ET, meaning those posts"}
{"type":"thought","data":" are already counted"}
{"type":"thought","data":" in the 62 total."}
{"type":"thought","data":"\n\nA 62-day-one total"}
{"type":"thought","data":" plus a 27-day-two total"}
{"type":"thought","data":" yields exactly 89, "}
{"type":"thought","data":"a bare YES. A 63-day-one"}
{"type":"thought","data":" total would land in"}
{"type":"thought","data":" the 90-114 NO band."}
{"type":"thought","data":" The two Friday samples"}
{"type":"thought","data":" are consistent but "}
{"type":"thought","data":"too few to be reliable. Recent days have been"}
{"type":"thought","data":" higher than those historical"}
{"type":"thought","data":" Friday counts."}
{"type":"thought","data":"\n\nThe prior week averaged"}
{"type":"thought","data":" roughly 32 posts per"}
{"type":"thought","data":" day. This week averages"}
{"type":"thought","data":" about 47, or 36 excluding"}
{"type":"thought","data":" the outlier burst and"}
{"type":"thought","data":" quiet Monday. If the"}
{"type":"thought","data":" elevated pace continues,"}
{"type":"thought","data":" Friday could post 40"}
{"type":"thought","data":" to 60 tweets. That "}
{"type":"thought","data":"would push the total"}
{"type":"thought","data":" into the 90-114 NO "}
{"type":"thought","data":"band. The market price"}
{"type":"thought","data":" of 0.250 for 65-89 "}
{"type":"thought","data":"implies only a 25% chance"}
{"type":"thought","data":" of that band. The implied"}
{"type":"thought","data":" distribution suggests"}
{"type":"thought","data":" roughly 3 to 27 additional"}
{"type":"thought","data":" posts are needed for"}
{"type":"thought","data":" that outcome."}
{"type":"thought","data":"\n\nThe 90-114 band implies"}
{"type":"thought","data":" 28 to 52 additional"}
{"type":"thought","data":" posts, with a median"}
{"type":"thought","data":" of roughly 40. The "}
{"type":"thought","data":"115-139 band needs 53"}
{"type":"thought","data":" to 77 more, and 140+"}
{"type":"thought","data":" needs 78 or more. The"}
{"type":"thought","data":" two historical Friday"}
{"type":"thought","data":" counts of 27 posts "}
{"type":"thought","data":"are likely too low because"}
{"type":"thought","data":" the elevated recent"}
{"type":"thought","data":" pace and daytime posting"}
{"type":"thought","data":" hours push the true"}
{"type":"thought","data":" median higher. This"}
{"type":"thought","data":" suggests the 25% price"}
{"type":"thought","data":" for 65-89 is too low,"}
{"type":"thought","data":" making YES the better"}
{"type":"thought","data":" bet."}
{"type":"thought","data":"\n\nHe has been unusually"}
{"type":"thought","data":" quiet for the last "}
{"type":"thought","data":"15 hours, posting only"}
{"type":"thought","data":" 8 tweets. Saturday "}
{"type":"thought","data":"morning is typically"}
{"type":"thought","data":" slower, so the second"}
{"type":"thought","data":" day may not repeat "}
{"type":"thought","data":"the elevated pace. If"}
{"type":"thought","data":" it stays near the historical"}
{"type":"thought","data":" Friday average of 27,"}
{"type":"thought","data":" the total lands exactly"}
{"type":"thought","data":" at 89 and wins the "}
{"type":"thought","data":"65-89 bracket. The band"}
{"type":"thought","data":" spans +3 to +27 additional"}
{"type":"thought","data":" posts, meaning a Friday"}
{"type":"thought","data":" count of 27 sits right"}
{"type":"thought","data":" at the ceiling."}
{"type":"thought","data":"\n\nThe two historical"}
{"type":"thought","data":" Friday samples both"}
{"type":"thought","data":" landed exactly at 27"}
{"type":"thought","data":" posts, so the mean "}
{"type":"thought","data":"sits right at the boundary."}
{"type":"thought","data":" If the distribution is centered there, "}
{"type":"thought","data":"the probability of posting"}
{"type":"thought","data":" 27 or fewer additional"}
{"type":"thought","data":" tweets is roughly 50"}
{"type":"thought","data":" percent or higher. "}
{"type":"thought","data":"That would make the "}
{"type":"thought","data":"65-89 bracket about "}
{"type":"thought","data":"45 to 50 percent likely,"}
{"type":"thought","data":" meaning the market's"}
{"type":"thought","data":" 25 percent price is"}
{"type":"thought","data":" severely underpriced"}
{"type":"thought","data":" and YES carries a large"}
{"type":"thought","data":" edge.\n\nOn the other"}
{"type":"thought","data":" hand, this week's pace"}
{"type":"thought","data":" has shifted up sharply."}
{"type":"thought","data":" Thursday posted 62 "}
{"type":"thought","data":"tweets, more than double"}
{"type":"thought","data":" a typical Friday. If"}
{"type":"thought","data":" today follows that "}
{"type":"thought","data":"elevated trend, the "}
{"type":"thought","data":"second day alone could"}
{"type":"thought","data":" post 30 or more, pushing"}
{"type":"thought","data":" the total past the "}
{"type":"thought","data":"89 ceiling into the "}
{"type":"thought","data":"90-114 NO band."}
{"type":"thought","data":"\n\nThe tracker pace is"}
{"type":"thought","data":" 124, double the 62 "}
{"type":"thought","data":"count. He posted at "}
{"type":"thought","data":"9am and 10am ET this"}
{"type":"thought","data":" morning, so he is not"}
{"type":"thought","data":" asleep for the day."}
{"type":"thought","data":" Polymarket traders "}
{"type":"thought","data":"who specialize in Elon"}
{"type":"thought","data":" tweet markets are highly"}
{"type":"thought","data":" quantitative and update"}
{"type":"thought","data":" hourly. The price has"}
{"type":"thought","data":" moved toward the 90-114"}
{"type":"thought","data":" band from 52% to 60%,"}
{"type":"thought","data":" while the 65-89 price"}
{"type":"thought","data":" stayed flat at 25%."}
{"type":"thought","data":" This suggests they "}
{"type":"thought","data":"expect roughly 40 additional"}
{"type":"thought","data":" posts rather than 20."}
{"type":"thought","data":"\n\nThe October 2 Friday"}
{"type":"thought","data":" sample of 27 posts "}
{"type":"thought","data":"predates the current"}
{"type":"thought","data":" hot regime. The week"}
{"type":"thought","data":" ramped up afterward,"}
{"type":"thought","data":" so that historical "}
{"type":"thought","data":"Friday count is likely"}
{"type":"thought","data":" too low. I will compare"}
{"type":"thought","data":" Thursday's posting "}
{"type":"thought","data":"pattern against Friday's"}
{"type":"thought","data":" remaining hours to "}
{"type":"thought","data":"gauge the true trajectory."}
{"type":"thought","data":"\n\nThe next eight hours"}
{"type":"thought","data":" from noon to 8pm ET"}
{"type":"thought","data":" are the danger zone"}
{"type":"thought","data":" for exceeding the 89-post"}
{"type":"thought","data":" ceiling. I will compute"}
{"type":"thought","data":" average afternoon post"}
{"type":"thought","data":" counts from 16:00 UTC"}
{"type":"thought","data":" to 23:00 UTC across"}
{"type":"thought","data":" recent days to gauge"}
{"type":"thought","data":" the true risk."}
{"type":"thought","data":"\n\nThe 15:00 UTC hour"}
{"type":"thought","data":" has zero posts so far,"}
{"type":"thought","data":" with roughly 26 minutes"}
{"type":"thought","data":" remaining. I will sum"}
{"type":"thought","data":" historical posts by"}
{"type":"thought","data":" hour-of-day across "}
{"type":"thought","data":"the remaining clock "}
{"type":"thought","data":"hours, comparing recent"}
{"type":"thought","data":" seven-day patterns "}
{"type":"thought","data":"against all-time averages."}
{"type":"thought","data":"\n\nThe 25-hour window"}
{"type":"thought","data":" is now fully mapped"}
{"type":"thought","data":" from 15:00 UTC to 15:00"}
{"type":"thought","data":" UTC the next day. I"}
{"type":"thought","data":" will check xtracker"}
{"type":"thought","data":" metrics and weekday"}
{"type":"thought","data":" afternoon posting patterns"}
{"type":"thought","data":" before finalizing the"}
{"type":"thought","data":" bet."}
{"type":"thought","data":"\n\nThe 25 percent market"}
{"type":"thought","data":" price for 65-89 implies"}
{"type":"thought","data":" roughly a 30 to 40 "}
{"type":"thought","data":"percent true probability,"}
{"type":"thought","data":" giving YES positive"}
{"type":"thought","data":" expected value and "}
{"type":"thought","data":"a fourfold payout. I"}
{"type":"thought","data":" am now checking whether"}
{"type":"thought","data":" the October 2 Friday"}
{"type":"thought","data":" burst occurred in the"}
{"type":"thought","data":" afternoon hours still"}
{"type":"thought","data":" ahead of us, and whether today will repeat yesterday's 54-post afternoon surge.\n\nYesterday's evening burst appears to be a mix of reposts about Grok, Tesla, and politics rather than a single news event. I will check for today's news and recent X posts to see if the tracker is missing anything."}
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"}
{"type":"tool_call","toolCallId":"call-b18e2da3-f1bb-41aa-8921-1b69b2f6a223-11","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"python3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# hour-of-day totals by date\nby_date_hour=defaultdict(lambda: defaultdict(int))\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_date_hour[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# For each historical date D (as the \"Friday-like\" start of remaining window),\n# sum posts in hours from D 15:00 through D+1 15:59\n# We'll print component: afternoon (15-23), overnight (0-11), morning next (12-15)\n\ndates=sorted(by_date_hour)\nprint(\"date dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\")\nfor ds in dates:\n    d=datetime.fromisoformat(ds).replace(tzinfo=timezone.utc)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt not in by_date_hour and ds < \"2026-10-09\":\n        # still might have partial\n        pass\n    aft=sum(by_date_hour[ds][h] for h in range(15,24))\n    night=sum(by_date_hour[nxt][h] for h in range(0,12)) if nxt in by_date_hour else None\n    morn=sum(by_date_hour[nxt][h] for h in range(12,16)) if nxt in by_date_hour else None\n    if night is None:\n        print(ds, d.strftime(\"%A\"), \"aft\", aft, \"INCOMPLETE next\", nxt)\n        continue\n    total=aft+night+morn\n    # but aft includes hour 15 which for TODAY is partial. For historical full days OK.\n    print(f\"{ds} {d.strftime('%A')[:3]} | aft {aft:3d} | night {night:3d} | morn {morn:3d} | tot {total:3d}\")\n\nprint(\"\\n=== TODAY so far Oct 9 hours ===\")\nfor h in range(24):\n    c=by_date_hour[\"2026-10-09\"][h]\n    if c:\n        print(h, c)\n\nprint(\"\\n=== Oct 8 hours ===\")\nfor h in range(24):\n    print(h, by_date_hour[\"2026-10-08\"][h])\n\nprint(\"\\n=== Friday dates full noon-noon already known ===\")\n# Show hour profile for Fridays Sep 25 and Oct 2 (the 27-post days) AND recent hot days\nfor ds in [\"2026-09-25\",\"2026-10-02\",\"2026-10-03\",\"2026-10-06\",\"2026-10-07\",\"2026-10-08\"]:\n    print(\"\\n\", ds, datetime.fromisoformat(ds).strftime(\"%A\"))\n    for h in range(16,24):\n        print(f\"  {h:02d}UTC\", by_date_hour[ds][h])\n    nxt=(datetime.fromisoformat(ds)+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    for h in range(0,16):\n        print(f\"  {h:02d}UTC+1\", by_date_hour[nxt][h])\n\n# Poisson-ish: use last 7 COMPLETE remaining-slices excluding today\n# Predict additional from a blend\nprint(\"\\n=== weekday mean afternoon (15-23 UTC) last 14d ===\")\nPY\n# also check x search quickly via a small note\necho DONE\n","description":"Break down afternoon vs overnight posting rates"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-b18e2da3-f1bb-41aa-8921-1b69b2f6a223-11","status":null,"content":[{"type":"content","content":{"type":"text","text":"Break down afternoon vs overnight posting rates"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-b18e2da3-f1bb-41aa-8921-1b69b2f6a223-11","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"python3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# hour-of-day totals by date\nby_date_hour=defaultdict(lambda: defaultdict(int))\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_date_hour[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# For each historical date D (as the \"Friday-like\" start of remaining window),\n# sum posts in hours from D 15:00 through D+1 15:59\n# We'll print component: afternoon (15-23), overnight (0-11), morning next (12-15)\n\ndates=sorted(by_date_hour)\nprint(\"date dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\")\nfor ds in dates:\n    d=datetime.fromisoformat(ds).replace(tzinfo=timezone.utc)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt not in by_date_hour and ds < \"2026-10-09\":\n        # still might have partial\n        pass\n    aft=sum(by_date_hour[ds][h] for h in range(15,24))\n    night=sum(by_date_hour[nxt][h] for h in range(0,12)) if nxt in by_date_hour else None\n    morn=sum(by_date_hour[nxt][h] for h in range(12,16)) if nxt in by_date_hour else None\n    if night is None:\n        print(ds, d.strftime(\"%A\"), \"aft\", aft, \"INCOMPLETE next\", nxt)\n        continue\n    total=aft+night+morn\n    # but aft includes hour 15 which for TODAY is partial. For historical full days OK.\n    print(f\"{ds} {d.strftime('%A')[:3]} | aft {aft:3d} | night {night:3d} | morn {morn:3d} | tot {total:3d}\")\n\nprint(\"\\n=== TODAY so far Oct 9 hours ===\")\nfor h in range(24):\n    c=by_date_hour[\"2026-10-09\"][h]\n    if c:\n        print(h, c)\n\nprint(\"\\n=== Oct 8 hours ===\")\nfor h in range(24):\n    print(h, by_date_hour[\"2026-10-08\"][h])\n\nprint(\"\\n=== Friday dates full noon-noon already known ===\")\n# Show hour profile for Fridays Sep 25 and Oct 2 (the 27-post days) AND recent hot days\nfor ds in [\"2026-09-25\",\"2026-10-02\",\"2026-10-03\",\"2026-10-06\",\"2026-10-07\",\"2026-10-08\"]:\n    print(\"\\n\", ds, datetime.fromisoformat(ds).strftime(\"%A\"))\n    for h in range(16,24):\n        print(f\"  {h:02d}UTC\", by_date_hour[ds][h])\n    nxt=(datetime.fromisoformat(ds)+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    for h in range(0,16):\n        print(f\"  {h:02d}UTC+1\", by_date_hour[nxt][h])\n\n# Poisson-ish: use last 7 COMPLETE remaining-slices excluding today\n# Predict additional from a blend\nprint(\"\\n=== weekday mean afternoon (15-23 UTC) last 14d ===\")\nPY\n# also check x search quickly via a small note\necho DONE\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-b18e2da3-f1bb-41aa-8921-1b69b2f6a223-11","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"date dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\n2026-09-25 Fri | aft   9 | night  12 | morn   6 | tot  27\n2026-09-26 Sat | aft   7 | night  18 | morn   1 | tot  26\n2026-09-27 Sun | aft  13 | night  17 | morn   7 | tot  37\n2026-09-28 Mon | aft  20 | night   1 | morn   1 | tot  22\n2026-09-29 Tue | aft  17 | night  18 | morn   0 | tot  35\n2026-09-30 Wed | aft  14 | night  12 | morn   7 | tot  33\n2026-10-01 Thu | aft  34 | night  13 | morn   2 | tot  49\n2026-10-02 Fri | aft  20 | night   7 | morn   2 | tot  29\n2026-10-03 Sat | aft  10 | night  20 | morn  12 | tot  42\n2026-10-04 Sun | aft  16 | night  20 | morn   0 | tot  36\n2026-10-05 Mon | aft   0 | night   0 | morn   8 | tot   8\n2026-10-06 Tue | aft  18 | night  27 | morn  14 | tot  59\n2026-10-07 Wed | aft  36 | night  54 | morn  26 | tot 116\n2026-10-08 Thu | aft  59 | night   6 | morn   2 | tot  67\n2026-10-09 Friday aft 0 INCOMPLETE next 2026-10-10\n\n=== TODAY so far Oct 9 hours ===\n0 2\n3 3\n7 1\n13 1\n14 1\n\n=== Oct 8 hours ===\n0 4\n1 5\n2 0\n3 4\n4 19\n5 14\n6 1\n7 0\n8 0\n9 0\n10 6\n11 1\n12 5\n13 12\n14 4\n15 5\n16 7\n17 2\n18 9\n19 1\n20 18\n21 10\n22 5\n23 2\n\n=== Friday dates full noon-noon already known ===\n\n 2026-09-25 Friday\n  16UTC 3\n  17UTC 3\n  18UTC 0\n  19UTC 0\n  20UTC 0\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 1\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 5\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 4\n  15UTC+1 0\n\n 2026-10-02 Friday\n  16UTC 0\n  17UTC 0\n  18UTC 7\n  19UTC 8\n  20UTC 0\n  21UTC 0\n  22UTC 0\n  23UTC 3\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 1\n  05UTC+1 1\n  06UTC+1 0\n  07UTC+1 3\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 0\n  15UTC+1 0\n\n 2026-10-03 Saturday\n  16UTC 0\n  17UTC 0\n  18UTC 3\n  19UTC 0\n  20UTC 4\n  21UTC 1\n  22UTC 2\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 7\n  02UTC+1 1\n  03UTC+1 0\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 0\n  08UTC+1 5\n  09UTC+1 4\n  10UTC+1 3\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 3\n  15UTC+1 9\n\n 2026-10-06 Tuesday\n  16UTC 0\n  17UTC 0\n  18UTC 0\n  19UTC 1\n  20UTC 6\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 3\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 8\n  05UTC+1 4\n  06UTC+1 12\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 7\n  15UTC+1 7\n\n 2026-10-07 Wednesday\n  16UTC 12\n  17UTC 9\n  18UTC 1\n  19UTC 2\n  20UTC 3\n  21UTC 0\n  22UTC 1\n  23UTC 1\n  00UTC+1 4\n  01UTC+1 5\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 19\n  05UTC+1 14\n  06UTC+1 1\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 6\n  11UTC+1 1\n  12UTC+1 5\n  13UTC+1 12\n  14UTC+1 4\n  15UTC+1 5\n\n 2026-10-08 Thursday\n  16UTC 7\n  17UTC 2\n  18UTC 9\n  19UTC 1\n  20UTC 18\n  21UTC 10\n  22UTC 5\n  23UTC 2\n  00UTC+1 2\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 3\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 1\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 1\n  14UTC+1 1\n  15UTC+1 0\n\n=== weekday mean afternoon (15-23 UTC) last 14d ===\nDONE\n"}}],"rawOutput":{"type":"Bash","output":[100,97,116,101,32,100,111,119,32,124,32,97,102,116,49,53,45,50,51,32,124,32,110,105,103,104,116,48,45,49,49,32,124,32,110,101,120,116,49,50,45,49,53,32,124,32,84,79,84,65,76,32,114,101,109,97,105,110,105,110,103,45,108,105,107,101,32,124,32,110,111,116,101,115,10,50,48,50,54,45,48,57,45,50,53,32,70,114,105,32,124,32,97,102,116,32,32,32,57,32,124,32,110,105,103,104,116,32,32,49,50,32,124,32,109,111,114,110,32,32,32,54,32,124,32,116,111,116,32,32,50,55,10,50,48,50,54,45,48,57,45,50,54,32,83,97,116,32,124,32,97,102,116,32,32,32,55,32,124,32,110,105,103,104,116,32,32,49,56,32,124,32,109,111,114,110,32,32,32,49,32,124,32,116,111,116,32,32,50,54,10,50,48,50,54,45,48,57,45,50,55,32,83,117,110,32,124,32,97,102,116,32,32,49,51,32,124,32,110,105,103,104,116,32,32,49,55,32,124,32,109,111,114,110,32,32,32,55,32,124,32,116,111,116,32,32,51,55,10,50,48,50,54,45,48,57,45,50,56,32,77,111,110,32,124,32,97,102,116,32,32,50,48,32,124,32,110,105,103,104,116,32,32,32,49,32,124,32,109,111,114,110,32,32,32,49,32,124,32,116,111,116,32,32,50,50,10,50,48,50,54,45,48,57,45,50,57,32,84,117,101,32,124,32,97,102,116,32,32,49,55,32,124,32,110,105,103,104,116,32,32,49,56,32,124,32,109,111,114,110,32,32,32,48,32,124,32,116,111,116,32,32,51,53,10,50,48,50,54,45,48,57,45,51,48,32,87,101,100,32,124,32,97,102,116,32,32,49,52,32,124,32,110,105,103,104,116,32,32,49,50,32,124,32,109,111,114,110,32,32,32,55,32,124,32,116,111,116,32,32,51,51,10,50,48,50,54,45,49,48,45,48,49,32,84,104,117,32,124,32,97,102,116,32,32,51,52,32,124,32,110,105,103,104,116,32,32,49,51,32,124,32,109,111,114,110,32,32,32,50,32,124,32,116,111,116,32,32,52,57,10,50,48,50,54,45,49,48,45,48,50,32,70,114,105,32,124,32,97,102,116,32,32,50,48,32,124,32,110,105,103,104,116,32,32,32,55,32,124,32,109,111,114,110,32,32,32,50,32,124,32,116,111,116,32,32,50,57,10,50,48,50,54,45,49,48,45,48,51,32,83,97,116,32,124,32,97,102,116,32,32,49,48,32,124,32,110,105,103,104,116,32,32,50,48,32,124,32,109,111,114,110,32,32,49,50,32,124,32,116,111,116,32,32,52,50,10,50,48,50,54,45,49,48,45,48,52,32,83,117,110,32,124,32,97,102,116,32,32,49,54,32,124,32,110,105,103,104,116,32,32,50,48,32,124,32,109,111,114,110,32,32,32,48,32,124,32,116,111,116,32,32,51,54,10,50,48,50,54,45,49,48,45,48,53,32,77,111,110,32,124,32,97,102,116,32,32,32,48,32,124,32,110,105,103,104,116,32,32,32,48,32,124,32,109,111,114,110,32,32,32,56,32,124,32,116,111,116,32,32,32,56,10,50,48,50,54,45,49,48,45,48,54,32,84,117,101,32,124,32,97,102,116,32,32,49,56,32,124,32,110,105,103,104,116,32,32,50,55,32,124,32,109,111,114,110,32,32,49,52,32,124,32,116,111,116,32,32,53,57,10,50,48,50,54,45,49,48,45,48,55,32,87,101,100,32,124,32,97,102,116,32,32,51,54,32,124,32,110,105,103,104,116,32,32,53,52,32,124,32,109,111,114,110,32,32,50,54,32,124,32,116,111,116,32,49,49,54,10,50,48,50,54,45,49,48,45,48,56,32,84,104,117,32,124,32,97,102,116,32,32,53,57,32,124,32,110,105,103,104,116,32,32,32,54,32,124,32,109,111,114,110,32,32,32,50,32,124,32,116,111,116,32,32,54,55,10,50,48,50,54,45,49,48,45,48,57,32,70,114,105,100,97,121,32,97,102,116,32,48,32,73,78,67,79,77,80,76,69,84,69,32,110,101,120,116,32,50,48,50,54,45,49,48,45,49,48,10,10,61,61,61,32,84,79,68,65,89,32,115,111,32,102,97,114,32,79,99,116,32,57,32,104,111,117,114,115,32,61,61,61,10,48,32,50,10,51,32,51,10,55,32,49,10,49,51,32,49,10,49,52,32,49,10,10,61,61,61,32,79,99,116,32,56,32,104,111,117,114,115,32,61,61,61,10,48,32,52,10,49,32,53,10,50,32,48,10,51,32,52,10,52,32,49,57,10,53,32,49,52,10,54,32,49,10,55,32,48,10,56,32,48,10,57,32,48,10,49,48,32,54,10,49,49,32,49,10,49,50,32,53,10,49,51,32,49,50,10,49,52,32,52,10,49,53,32,53,10,49,54,32,55,10,49,55,32,50,10,49,56,32,57,10,49,57,32,49,10,50,48,32,49,56,10,50,49,32,49,48,10,50,50,32,53,10,50,51,32,50,10,10,61,61,61,32,70,114,105,100,97,121,32,100,97,116,101,115,32,102,117,108,108,32,110,111,111,110,45,110,111,111,110,32,97,108,114,101,97,100,121,32,107,110,111,119,110,32,61,61,61,10,10,32,50,48,50,54,45,48,57,45,50,53,32,70,114,105,100,97,121,10,32,32,49,54,85,84,67,32,51,10,32,32,49,55,85,84,67,32,51,10,32,32,49,56,85,84,67,32,48,10,32,32,49,57,85,84,67,32,48,10,32,32,50,48,85,84,67,32,48,10,32,32,50,49,85,84,67,32,51,10,32,32,50,50,85,84,67,32,48,10,32,32,50,51,85,84,67,32,48,10,32,32,48,48,85,84,67,43,49,32,48,10,32,32,48,49,85,84,67,43,49,32,48,10,32,32,48,50,85,84,67,43,49,32,48,10,32,32,48,51,85,84,67,43,49,32,52,10,32,32,48,52,85,84,67,43,49,32,49,10,32,32,48,53,85,84,67,43,49,32,48,10,32,32,48,54,85,84,67,43,49,32,48,10,32,32,48,55,85,84,67,43,49,32,53,10,32,32,48,56,85,84,67,43,49,32,50,10,32,32,48,57,85,84,67,43,49,32,48,10,32,32,49,48,85,84,67,43,49,32,48,10,32,32,49,49,85,84,67,43,49,32,48,10,32,32,49,50,85,84,67,43,49,32,48,10,32,32,49,51,85,84,67,43,49,32,50,10,32,32,49,52,85,84,67,43,49,32,52,10,32,32,49,53,85,84,67,43,49,32,48,10,10,32,50,48,50,54,45,49,48,45,48,50,32,70,114,105,100,97,121,10,32,32,49,54,85,84,67,32,48,10,32,32,49,55,85,84,67,32,48,10,32,32,49,56,85,84,67,32,55,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dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\n2026-09-25 Fri | aft   9 | night  12 | morn   6 | tot  27\n2026-09-26 Sat | aft   7 | night  18 | morn   1 | tot  26\n2026-09-27 Sun | aft  13 | night  17 | morn   7 | tot  37\n2026-09-28 Mon | aft  20 | night   1 | morn   1 | tot  22\n2026-09-29 Tue | aft  17 | night  18 | morn   0 | tot  35\n2026-09-30 Wed | aft  14 | night  12 | morn   7 | tot  33\n2026-10-01 Thu | aft  34 | night  13 | morn   2 | tot  49\n2026-10-02 Fri | aft  20 | night   7 | morn   2 | tot  29\n2026-10-03 Sat | aft  10 | night  20 | morn  12 | tot  42\n2026-10-04 Sun | aft  16 | night  20 | morn   0 | tot  36\n2026-10-05 Mon | aft   0 | night   0 | morn   8 | tot   8\n2026-10-06 Tue | aft  18 | night  27 | morn  14 | tot  59\n2026-10-07 Wed | aft  36 | night  54 | morn  26 | tot 116\n2026-10-08 Thu | aft  59 | night   6 | morn   2 | tot  67\n2026-10-09 Friday aft 0 INCOMPLETE next 2026-10-10\n\n=== TODAY so far Oct 9 hours ===\n0 2\n3 3\n7 1\n13 1\n14 1\n\n=== Oct 8 hours ===\n0 4\n1 5\n2 0\n3 4\n4 19\n5 14\n6 1\n7 0\n8 0\n9 0\n10 6\n11 1\n12 5\n13 12\n14 4\n15 5\n16 7\n17 2\n18 9\n19 1\n20 18\n21 10\n22 5\n23 2\n\n=== Friday dates full noon-noon already known ===\n\n 2026-09-25 Friday\n  16UTC 3\n  17UTC 3\n  18UTC 0\n  19UTC 0\n  20UTC 0\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 1\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 5\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 4\n  15UTC+1 0\n\n 2026-10-02 Friday\n  16UTC 0\n  17UTC 0\n  18UTC 7\n  19UTC 8\n  20UTC 0\n  21UTC 0\n  22UTC 0\n  23UTC 3\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 1\n  05UTC+1 1\n  06UTC+1 0\n  07UTC+1 3\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 0\n  15UTC+1 0\n\n 2026-10-03 Saturday\n  16UTC 0\n  17UTC 0\n  18UTC 3\n  19UTC 0\n  20UTC 4\n  21UTC 1\n  22UTC 2\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 7\n  02UTC+1 1\n  03UTC+1 0\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 0\n  08UTC+1 5\n  09UTC+1 4\n  10UTC+1 3\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 3\n  15UTC+1 9\n\n 2026-10-06 Tuesday\n  16UTC 0\n  17UTC 0\n  18UTC 0\n  19UTC 1\n  20UTC 6\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 3\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 8\n  05UTC+1 4\n  06UTC+1 12\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 7\n  15UTC+1 7\n\n 2026-10-07 Wednesday\n  16UTC 12\n  17UTC 9\n  18UTC 1\n  19UTC 2\n  20UTC 3\n  21UTC 0\n  22UTC 1\n  23UTC 1\n  00UTC+1 4\n  01UTC+1 5\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 19\n  05UTC+1 14\n  06UTC+1 1\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 6\n  11UTC+1 1\n  12UTC+1 5\n  13UTC+1 12\n  14UTC+1 4\n  15UTC+1 5\n\n 2026-10-08 Thursday\n  16UTC 7\n  17UTC 2\n  18UTC 9\n  19UTC 1\n  20UTC 18\n  21UTC 10\n  22UTC 5\n  23UTC 2\n  00UTC+1 2\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 3\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 1\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 1\n  14UTC+1 1\n  15UTC+1 0\n\n=== weekday mean afternoon (15-23 UTC) last 14d ===\nDONE\n","exit_code":0,"command":"python3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# hour-of-day totals by date\nby_date_hour=defaultdict(lambda: defaultdict(int))\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_date_hour[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# For each historical date D (as the \"Friday-like\" start of remaining window),\n# sum posts in hours from D 15:00 through D+1 15:59\n# We'll print component: afternoon (15-23), overnight (0-11), morning next (12-15)\n\ndates=sorted(by_date_hour)\nprint(\"date dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\")\nfor ds in dates:\n    d=datetime.fromisoformat(ds).replace(tzinfo=timezone.utc)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt not in by_date_hour and ds < \"2026-10-09\":\n        # still might have partial\n        pass\n    aft=sum(by_date_hour[ds][h] for h in range(15,24))\n    night=sum(by_date_hour[nxt][h] for h in range(0,12)) if nxt in by_date_hour else None\n    morn=sum(by_date_hour[nxt][h] for h in range(12,16)) if nxt in by_date_hour else None\n    if night is None:\n        print(ds, d.strftime(\"%A\"), \"aft\", aft, \"INCOMPLETE next\", nxt)\n        continue\n    total=aft+night+morn\n    # but aft includes hour 15 which for TODAY is partial. For historical full days OK.\n    print(f\"{ds} {d.strftime('%A')[:3]} | aft {aft:3d} | night {night:3d} | morn {morn:3d} | tot {total:3d}\")\n\nprint(\"\\n=== TODAY so far Oct 9 hours ===\")\nfor h in range(24):\n    c=by_date_hour[\"2026-10-09\"][h]\n    if c:\n        print(h, c)\n\nprint(\"\\n=== Oct 8 hours ===\")\nfor h in range(24):\n    print(h, by_date_hour[\"2026-10-08\"][h])\n\nprint(\"\\n=== Friday dates full noon-noon already known ===\")\n# Show hour profile for Fridays Sep 25 and Oct 2 (the 27-post days) AND recent hot days\nfor ds in [\"2026-09-25\",\"2026-10-02\",\"2026-10-03\",\"2026-10-06\",\"2026-10-07\",\"2026-10-08\"]:\n    print(\"\\n\", ds, datetime.fromisoformat(ds).strftime(\"%A\"))\n    for h in range(16,24):\n        print(f\"  {h:02d}UTC\", by_date_hour[ds][h])\n    nxt=(datetime.fromisoformat(ds)+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    for h in range(0,16):\n        print(f\"  {h:02d}UTC+1\", by_date_hour[nxt][h])\n\n# Poisson-ish: use last 7 COMPLETE remaining-slices excluding today\n# Predict additional from a blend\nprint(\"\\n=== weekday mean afternoon (15-23 UTC) last 14d ===\")\nPY\n# also check x search quickly via a small note\necho DONE\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":3006},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-b18e2da3-f1bb-41aa-8921-1b69b2f6a223-11","status":"completed","content":[{"type":"content","content":{"type":"text","text":"date dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\n2026-09-25 Fri | aft   9 | night  12 | morn   6 | tot  27\n2026-09-26 Sat | aft   7 | night  18 | morn   1 | tot  26\n2026-09-27 Sun | aft  13 | night  17 | morn   7 | tot  37\n2026-09-28 Mon | aft  20 | night   1 | morn   1 | tot  22\n2026-09-29 Tue | aft  17 | night  18 | morn   0 | tot  35\n2026-09-30 Wed | aft  14 | night  12 | morn   7 | tot  33\n2026-10-01 Thu | aft  34 | night  13 | morn   2 | tot  49\n2026-10-02 Fri | aft  20 | night   7 | morn   2 | tot  29\n2026-10-03 Sat | aft  10 | night  20 | morn  12 | tot  42\n2026-10-04 Sun | aft  16 | night  20 | morn   0 | tot  36\n2026-10-05 Mon | aft   0 | night   0 | morn   8 | tot   8\n2026-10-06 Tue | aft  18 | night  27 | morn  14 | tot  59\n2026-10-07 Wed | aft  36 | night  54 | morn  26 | tot 116\n2026-10-08 Thu | aft  59 | night   6 | morn   2 | tot  67\n2026-10-09 Friday aft 0 INCOMPLETE next 2026-10-10\n\n=== TODAY so far Oct 9 hours ===\n0 2\n3 3\n7 1\n13 1\n14 1\n\n=== Oct 8 hours ===\n0 4\n1 5\n2 0\n3 4\n4 19\n5 14\n6 1\n7 0\n8 0\n9 0\n10 6\n11 1\n12 5\n13 12\n14 4\n15 5\n16 7\n17 2\n18 9\n19 1\n20 18\n21 10\n22 5\n23 2\n\n=== Friday dates full noon-noon already known ===\n\n 2026-09-25 Friday\n  16UTC 3\n  17UTC 3\n  18UTC 0\n  19UTC 0\n  20UTC 0\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 1\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 5\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 4\n  15UTC+1 0\n\n 2026-10-02 Friday\n  16UTC 0\n  17UTC 0\n  18UTC 7\n  19UTC 8\n  20UTC 0\n  21UTC 0\n  22UTC 0\n  23UTC 3\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 1\n  05UTC+1 1\n  06UTC+1 0\n  07UTC+1 3\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 0\n  15UTC+1 0\n\n 2026-10-03 Saturday\n  16UTC 0\n  17UTC 0\n  18UTC 3\n  19UTC 0\n  20UTC 4\n  21UTC 1\n  22UTC 2\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 7\n  02UTC+1 1\n  03UTC+1 0\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 0\n  08UTC+1 5\n  09UTC+1 4\n  10UTC+1 3\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 3\n  15UTC+1 9\n\n 2026-10-06 Tuesday\n  16UTC 0\n  17UTC 0\n  18UTC 0\n  19UTC 1\n  20UTC 6\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 3\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 8\n  05UTC+1 4\n  06UTC+1 12\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 7\n  15UTC+1 7\n\n 2026-10-07 Wednesday\n  16UTC 12\n  17UTC 9\n  18UTC 1\n  19UTC 2\n  20UTC 3\n  21UTC 0\n  22UTC 1\n  23UTC 1\n  00UTC+1 4\n  01UTC+1 5\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 19\n  05UTC+1 14\n  06UTC+1 1\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 6\n  11UTC+1 1\n  12UTC+1 5\n  13UTC+1 12\n  14UTC+1 4\n  15UTC+1 5\n\n 2026-10-08 Thursday\n  16UTC 7\n  17UTC 2\n  18UTC 9\n  19UTC 1\n  20UTC 18\n  21UTC 10\n  22UTC 5\n  23UTC 2\n  00UTC+1 2\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 3\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 1\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 1\n  14UTC+1 1\n  15UTC+1 0\n\n=== weekday mean afternoon (15-23 UTC) last 14d ===\nDONE\n"}}],"rawOutput":{"type":"Bash","output":[100,97,116,101,32,100,111,119,32,124,32,97,102,116,49,53,45,50,51,32,124,32,110,105,103,104,116,48,45,49,49,32,124,32,110,101,120,116,49,50,45,49,53,32,124,32,84,79,84,65,76,32,114,101,109,97,105,110,105,110,103,45,108,105,107,101,32,124,32,110,111,116,101,115,10,50,48,50,54,45,48,57,45,50,53,32,70,114,105,32,124,32,97,102,116,32,32,32,57,32,124,32,110,105,103,104,116,32,32,49,50,32,124,32,109,111,114,110,32,32,32,54,32,124,32,116,111,116,32,32,50,55,10,50,48,50,54,45,48,57,45,50,54,32,83,97,116,32,124,32,97,102,116,32,32,32,55,32,124,32,110,105,103,104,116,32,32,49,56,32,124,32,109,111,114,110,32,32,32,49,32,124,32,116,111,116,32,32,50,54,10,50,48,50,54,45,48,57,45,50,55,32,83,117,110,32,124,32,97,102,116,32,32,49,51,32,124,32,110,105,103,104,116,32,32,49,55,32,124,32,109,111,114,110,32,32,32,55,32,124,32,116,111,116,32,32,51,55,10,50,48,50,54,45,48,57,45,50,56,32,77,111,110,32,124,32,97,102,116,32,32,50,48,32,124,32,110,105,103,104,116,32,32,32,49,32,124,32,109,111,114,110,32,32,32,49,32,124,32,116,111,116,32,32,50,50,10,50,48,50,54,45,48,57,45,50,57,32,84,117,101,32,124,32,97,102,116,32,32,49,55,32,124,32,110,105,103,104,116,32,32,49,56,32,124,32,109,111,114,110,32,32,32,48,32,124,32,116,111,116,32,32,51,53,10,50,48,50,54,45,48,57,45,51,48,32,87,101,100,32,124,32,97,102,116,32,32,49,52,32,124,32,110,105,103,104,116,32,32,49,50,32,124,32,109,111,114,110,32,32,32,55,32,124,32,116,111,116,32,32,51,51,10,50,48,50,54,45,49,48,45,48,49,32,84,104,117,32,124,32,97,102,116,32,32,51,52,32,124,32,110,105,103,104,116,32,32,49,51,32,124,32,109,111,114,110,32,32,32,50,32,124,32,116,111,116,32,32,52,57,10,50,48,50,54,45,49,48,45,48,50,32,70,114,105,32,124,32,97,102,116,32,32,50,48,32,124,32,110,105,103,104,116,32,32,32,55,32,124,32,109,111,114,110,32,32,32,50,32,124,32,116,111,116,32,32,50,57,10,50,48,50,54,45,49,48,45,48,51,32,83,97,116,32,124,32,97,102,116,32,32,49,48,32,124,32,110,105,103,104,116,32,32,50,48,32,124,32,109,111,114,110,32,32,49,50,32,124,32,116,111,116,32,32,52,50,10,50,48,50,54,45,49,48,45,48,52,32,83,117,110,32,124,32,97,102,116,32,32,49,54,32,124,32,110,105,103,104,116,32,32,50,48,32,124,32,109,111,114,110,32,32,32,48,32,124,32,116,111,116,32,32,51,54,10,50,48,50,54,45,49,48,45,48,53,32,77,111,110,32,124,32,97,102,116,32,32,32,48,32,124,32,110,105,103,104,116,32,32,32,48,32,124,32,109,111,114,110,32,32,32,56,32,124,32,116,111,116,32,32,32,56,10,50,48,50,54,45,49,48,45,48,54,32,84,117,101,32,124,32,97,102,116,32,32,49,56,32,124,32,110,105,103,104,116,32,32,50,55,32,124,32,109,111,114,110,32,32,49,52,32,124,32,116,111,116,32,32,53,57,10,50,48,50,54,45,49,48,45,48,55,32,87,101,100,32,124,32,97,102,116,32,32,51,54,32,124,32,110,105,103,104,116,32,32,53,52,32,124,32,109,111,114,110,32,32,50,54,32,124,32,116,111,116,32,49,49,54,10,50,48,50,54,45,49,48,45,48,56,32,84,104,117,32,124,32,97,102,116,32,32,53,57,32,124,32,110,105,103,104,116,32,32,32,54,32,124,32,109,111,114,110,32,32,32,50,32,124,32,116,111,116,32,32,54,55,10,50,48,50,54,45,49,48,45,48,57,32,70,114,105,100,97,121,32,97,102,116,32,48,32,73,78,67,79,77,80,76,69,84,69,32,110,101,120,116,32,50,48,50,54,45,49,48,45,49,48,10,10,61,61,61,32,84,79,68,65,89,32,115,111,32,102,97,114,32,79,99,116,32,57,32,104,111,117,114,115,32,61,61,61,10,48,32,50,10,51,32,51,10,55,32,49,10,49,51,32,49,10,49,52,32,49,10,10,61,61,61,32,79,99,116,32,56,32,104,111,117,114,115,32,61,61,61,10,48,32,52,10,49,32,53,10,50,32,48,10,51,32,52,10,52,32,49,57,10,53,32,49,52,10,54,32,49,10,55,32,48,10,56,32,48,10,57,32,48,10,49,48,32,54,10,49,49,32,49,10,49,50,32,53,10,49,51,32,49,50,10,49,52,32,52,10,49,53,32,53,10,49,54,32,55,10,49,55,32,50,10,49,56,32,57,10,49,57,32,49,10,50,48,32,49,56,10,50,49,32,49,48,10,50,50,32,53,10,50,51,32,50,10,10,61,61,61,32,70,114,105,100,97,121,32,100,97,116,101,115,32,102,117,108,108,32,110,111,111,110,45,110,111,111,110,32,97,108,114,101,97,100,121,32,107,110,111,119,110,32,61,61,61,10,10,32,50,48,50,54,45,48,57,45,50,53,32,70,114,105,100,97,121,10,32,32,49,54,85,84,67,32,51,10,32,32,49,55,85,84,67,32,51,10,32,32,49,56,85,84,67,32,48,10,32,32,49,57,85,84,67,32,48,10,32,32,50,48,85,84,67,32,48,10,32,32,50,49,85,84,67,32,51,10,32,32,50,50,85,84,67,32,48,10,32,32,50,51,85,84,67,32,48,10,32,32,48,48,85,84,67,43,49,32,48,10,32,32,48,49,85,84,67,43,49,32,48,10,32,32,48,50,85,84,67,43,49,32,48,10,32,32,48,51,85,84,67,43,49,32,52,10,32,32,48,52,85,84,67,43,49,32,49,10,32,32,48,53,85,84,67,43,49,32,48,10,32,32,48,54,85,84,67,43,49,32,48,10,32,32,48,55,85,84,67,43,49,32,53,10,32,32,48,56,85,84,67,43,49,32,50,10,32,32,48,57,85,84,67,43,49,32,48,10,32,32,49,48,85,84,67,43,49,32,48,10,32,32,49,49,85,84,67,43,49,32,48,10,32,32,49,50,85,84,67,43,49,32,48,10,32,32,49,51,85,84,67,43,49,32,50,10,32,32,49,52,85,84,67,43,49,32,52,10,32,32,49,53,85,84,67,43,49,32,48,10,10,32,50,48,50,54,45,49,48,45,48,50,32,70,114,105,100,97,121,10,32,32,49,54,85,84,67,32,48,10,32,32,49,55,85,84,67,32,48,10,32,32,49,56,85,84,67,32,55,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0\ndate dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\n2026-09-25 Fri | aft   9 | night  12 | morn   6 | tot  27\n2026-09-26 Sat | aft   7 | night  18 | morn   1 | tot  26\n2026-09-27 Sun | aft  13 | night  17 | morn   7 | tot  37\n2026-09-28 Mon | aft  20 | night   1 | morn   1 | tot  22\n2026-09-29 Tue | aft  17 | night  18 | morn   0 | tot  35\n2026-09-30 Wed | aft  14 | night  12 | morn   7 | tot  33\n2026-10-01 Thu | aft  34 | night  13 | morn   2 | tot  49\n2026-10-02 Fri | aft  20 | night   7 | morn   2 | tot  29\n2026-10-03 Sat | aft  10 | night  20 | morn  12 | tot  42\n2026-10-04 Sun | aft  16 | night  20 | morn   0 | tot  36\n2026-10-05 Mon | aft   0 | night   0 | morn   8 | tot   8\n2026-10-06 Tue | aft  18 | night  27 | morn  14 | tot  59\n2026-10-07 Wed | aft  36 | night  54 | morn  26 | tot 116\n2026-10-08 Thu | aft  59 | night   6 | morn   2 | tot  67\n2026-10-09 Friday aft 0 INCOMPLETE next 2026-10-10\n\n=== TODAY so far Oct 9 hours ===\n0 2\n3 3\n7 1\n13 1\n14 1\n\n=== Oct 8 hours ===\n0 4\n1 5\n2 0\n3 4\n4 19\n5 14\n6 1\n7 0\n8 0\n9 0\n10 6\n11 1\n12 5\n13 12\n14 4\n15 5\n16 7\n17 2\n18 9\n19 1\n20 18\n21 10\n22 5\n23 2\n\n=== Friday dates full noon-noon already known ===\n\n 2026-09-25 Friday\n  16UTC 3\n  17UTC 3\n  18UTC 0\n  19UTC 0\n  20UTC 0\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 1\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 5\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 4\n  15UTC+1 0\n\n 2026-10-02 Friday\n  16UTC 0\n  17UTC 0\n  18UTC 7\n  19UTC 8\n  20UTC 0\n  21UTC 0\n  22UTC 0\n  23UTC 3\n  00UTC+1 0\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 1\n  05UTC+1 1\n  06UTC+1 0\n  07UTC+1 3\n  08UTC+1 2\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 2\n  14UTC+1 0\n  15UTC+1 0\n\n 2026-10-03 Saturday\n  16UTC 0\n  17UTC 0\n  18UTC 3\n  19UTC 0\n  20UTC 4\n  21UTC 1\n  22UTC 2\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 7\n  02UTC+1 1\n  03UTC+1 0\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 0\n  08UTC+1 5\n  09UTC+1 4\n  10UTC+1 3\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 3\n  15UTC+1 9\n\n 2026-10-06 Tuesday\n  16UTC 0\n  17UTC 0\n  18UTC 0\n  19UTC 1\n  20UTC 6\n  21UTC 3\n  22UTC 0\n  23UTC 0\n  00UTC+1 0\n  01UTC+1 3\n  02UTC+1 0\n  03UTC+1 0\n  04UTC+1 8\n  05UTC+1 4\n  06UTC+1 12\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 0\n  14UTC+1 7\n  15UTC+1 7\n\n 2026-10-07 Wednesday\n  16UTC 12\n  17UTC 9\n  18UTC 1\n  19UTC 2\n  20UTC 3\n  21UTC 0\n  22UTC 1\n  23UTC 1\n  00UTC+1 4\n  01UTC+1 5\n  02UTC+1 0\n  03UTC+1 4\n  04UTC+1 19\n  05UTC+1 14\n  06UTC+1 1\n  07UTC+1 0\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 6\n  11UTC+1 1\n  12UTC+1 5\n  13UTC+1 12\n  14UTC+1 4\n  15UTC+1 5\n\n 2026-10-08 Thursday\n  16UTC 7\n  17UTC 2\n  18UTC 9\n  19UTC 1\n  20UTC 18\n  21UTC 10\n  22UTC 5\n  23UTC 2\n  00UTC+1 2\n  01UTC+1 0\n  02UTC+1 0\n  03UTC+1 3\n  04UTC+1 0\n  05UTC+1 0\n  06UTC+1 0\n  07UTC+1 1\n  08UTC+1 0\n  09UTC+1 0\n  10UTC+1 0\n  11UTC+1 0\n  12UTC+1 0\n  13UTC+1 1\n  14UTC+1 1\n  15UTC+1 0\n\n=== weekday mean afternoon (15-23 UTC) last 14d ===\nDONE\n","exit_code":0,"command":"python3 - << 'PY'\nimport json\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# hour-of-day totals by date\nby_date_hour=defaultdict(lambda: defaultdict(int))\nfor p in posts:\n    t=parse(p[\"createdAt\"])\n    by_date_hour[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# For each historical date D (as the \"Friday-like\" start of remaining window),\n# sum posts in hours from D 15:00 through D+1 15:59\n# We'll print component: afternoon (15-23), overnight (0-11), morning next (12-15)\n\ndates=sorted(by_date_hour)\nprint(\"date dow | aft15-23 | night0-11 | next12-15 | TOTAL remaining-like | notes\")\nfor ds in dates:\n    d=datetime.fromisoformat(ds).replace(tzinfo=timezone.utc)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt not in by_date_hour and ds < \"2026-10-09\":\n        # still might have partial\n        pass\n    aft=sum(by_date_hour[ds][h] for h in range(15,24))\n    night=sum(by_date_hour[nxt][h] for h in range(0,12)) if nxt in by_date_hour else None\n    morn=sum(by_date_hour[nxt][h] for h in range(12,16)) if nxt in by_date_hour else None\n    if night is None:\n        print(ds, d.strftime(\"%A\"), \"aft\", aft, \"INCOMPLETE next\", nxt)\n        continue\n    total=aft+night+morn\n    # but aft includes hour 15 which for TODAY is partial. For historical full days OK.\n    print(f\"{ds} {d.strftime('%A')[:3]} | aft {aft:3d} | night {night:3d} | morn {morn:3d} | tot {total:3d}\")\n\nprint(\"\\n=== TODAY so far Oct 9 hours ===\")\nfor h in range(24):\n    c=by_date_hour[\"2026-10-09\"][h]\n    if c:\n        print(h, c)\n\nprint(\"\\n=== Oct 8 hours ===\")\nfor h in range(24):\n    print(h, by_date_hour[\"2026-10-08\"][h])\n\nprint(\"\\n=== Friday dates full noon-noon already known ===\")\n# Show hour profile for Fridays Sep 25 and Oct 2 (the 27-post days) AND recent hot days\nfor ds in [\"2026-09-25\",\"2026-10-02\",\"2026-10-03\",\"2026-10-06\",\"2026-10-07\",\"2026-10-08\"]:\n    print(\"\\n\", ds, datetime.fromisoformat(ds).strftime(\"%A\"))\n    for h in range(16,24):\n        print(f\"  {h:02d}UTC\", by_date_hour[ds][h])\n    nxt=(datetime.fromisoformat(ds)+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    for h in range(0,16):\n        print(f\"  {h:02d}UTC+1\", by_date_hour[nxt][h])\n\n# Poisson-ish: use last 7 COMPLETE remaining-slices excluding today\n# Predict additional from a blend\nprint(\"\\n=== weekday mean afternoon (15-23 UTC) last 14d ===\")\nPY\n# also check x search quickly via a small note\necho DONE\n","truncated":false,"signal":null,"timed_out":false,"description":"Break down afternoon vs overnight posting rates","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-b18e2da3-f1bb-41aa-8921-1b69b2f6a223-11.log","total_bytes":3006},"locations":[]}
{"type":"thought","data":"A crucial finding about"}
{"type":"thought","data":" what counts has emerged."}
{"type":"thought","data":"\n\nMost recent Elon posts"}
{"type":"thought","data":" are replies or quote"}
{"type":"thought","data":" posts. Only a few appear"}
{"type":"thought","data":" to be original tweets."}
{"type":"thought","data":"\n\nMarket rules confirm"}
{"type":"thought","data":" that replies do not"}
{"type":"thought","data":" count. The tracker "}
{"type":"thought","data":"shows only four counted"}
{"type":"thought","data":" posts since midnight"}
{"type":"thought","data":" UTC October 9: two "}
{"type":"thought","data":"at 00:00, three at 03:00,"}
{"type":"thought","data":" one at 07:00, and one"}
{"type":"thought","data":" at 13:00."}
{"type":"thought","data":"\n\nThe 14:00 UTC count"}
{"type":"thought","data":" is one. The 14:14 reply"}
{"type":"thought","data":" does not count.\n\nHistorical"}
{"type":"thought","data":" data for the remaining"}
{"type":"thought","data":" window shows wide variation."}
{"type":"thought","data":" Recent totals range"}
{"type":"thought","data":" from 8 to 116 posts."}
{"type":"thought","data":"\n\nThe 67 post total "}
{"type":"thought","data":"for October 8 includes"}
{"type":"thought","data":" yesterday's afternoon"}
{"type":"thought","data":" burst already counted"}
{"type":"thought","data":" in the tracker. The"}
{"type":"thought","data":" future analog is a new day's afternoon."}
{"type":"thought","data":"\n\nThe base count is "}
{"type":"thought","data":"62. The YES outcome "}
{"type":"thought","data":"requires 3 to 27 additional"}
{"type":"thought","data":" posts.\n\nHistorical "}
{"type":"thought","data":"25-hour slices show "}
{"type":"thought","data":"only three instances"}
{"type":"thought","data":" falling in the 65-89"}
{"type":"thought","data":" range: September 25"}
{"type":"thought","data":" with 27, September "}
{"type":"thought","data":"26 with 26, and September"}
{"type":"thought","data":" 28 with 22."}
{"type":"thought","data":"\n\nThe historical YES"}
{"type":"thought","data":" rate is roughly 29 "}
{"type":"thought","data":"percent. Excluding the"}
{"type":"thought","data":" outlier Wednesday raises"}
{"type":"thought","data":" it to about 31 percent. The most recent week"}
{"type":"thought","data":" shows only a 14 percent"}
{"type":"thought","data":" chance of hitting the"}
{"type":"thought","data":" target. Friday data"}
{"type":"thought","data":" is effectively a coin"}
{"type":"thought","data":" flip."}
{"type":"thought","data":"\n\nToday is Friday. The"}
{"type":"thought","data":" two closest historical"}
{"type":"thought","data":" analogs both landed"}
{"type":"thought","data":" exactly on the boundary:"}
{"type":"thought","data":" September 25 with 27"}
{"type":"thought","data":" posts and October 2"}
{"type":"thought","data":" with 29. The market"}
{"type":"thought","data":" price of 0.250 may "}
{"type":"thought","data":"be slightly low if only"}
{"type":"thought","data":" Friday data is used,"}
{"type":"thought","data":" or fair if the recent"}
{"type":"thought","data":" hot pace is included."}
{"type":"thought","data":"\n\nThe Saturday portion"}
{"type":"thought","data":" of the remaining window"}
{"type":"thought","data":" is still uncertain."}
{"type":"thought","data":" Historical afternoon counts vary widely "}
{"type":"thought","data":"from zero to thirty-four."}
{"type":"thought","data":"\n\nThe key unknown is"}
{"type":"thought","data":" today's afternoon."}
{"type":"thought","data":"\n\nFriday afternoon counts"}
{"type":"thought","data":" are only 9 and 20. "}
{"type":"thought","data":"A typical Friday afternoon"}
{"type":"thought","data":" plus night and morning"}
{"type":"thought","data":" posts would total roughly"}
{"type":"thought","data":" 27 additional tweets,"}
{"type":"thought","data":" landing exactly on "}
{"type":"thought","data":"the boundary.\n\nRecent"}
{"type":"thought","data":" non-Friday afternoons"}
{"type":"thought","data":" were much higher, ranging"}
{"type":"thought","data":" from 18 to 59.\n\nThe"}
{"type":"thought","data":" market's 60 percent"}
{"type":"thought","data":" probability for 90-114"}
{"type":"thought","data":" posts implies an additional"}
{"type":"thought","data":" 28 to 52 posts. That"}
{"type":"thought","data":" median of about 40 "}
{"type":"thought","data":"aligns with the recent"}
{"type":"thought","data":" week's remaining totals"}
{"type":"thought","data":" of 29, 42, 36, 8, 59,"}
{"type":"thought","data":" and 67."}
{"type":"thought","data":"\n\nThe market appears"}
{"type":"thought","data":" to be pricing the recent-week"}
{"type":"thought","data":" median rather than "}
{"type":"thought","data":"a Friday-specific mean."}
{"type":"thought","data":" The two Friday analogs"}
{"type":"thought","data":" differ by only about"}
{"type":"thought","data":" ten posts, and one "}
{"type":"thought","data":"came from a slower period."}
{"type":"thought","data":" October 2's total of"}
{"type":"thought","data":" twenty-nine lands just"}
{"type":"thought","data":" outside the YES band at ninety-one. This suggests NO is the "}
{"type":"thought","data":"stronger side, with "}
{"type":"thought","data":"a true probability likely"}
{"type":"thought","data":" closer to twenty to"}
{"type":"thought","data":" thirty-five percent"}
{"type":"thought","data":" against the market's"}
{"type":"thought","data":" twenty-five percent."}
{"type":"thought","data":" The main edge case would be a sudden shift"}
{"type":"thought","data":" back to main-feed posting."}
{"type":"thought","data":"\n\nA simple simulation"}
{"type":"thought","data":" is being run to test"}
{"type":"thought","data":" the forecast. Extrapolating"}
{"type":"thought","data":" the last fifteen hours'"}
{"type":"thought","data":" rate of roughly half"}
{"type":"thought","data":" a post per hour would"}
{"type":"thought","data":" yield about twelve "}
{"type":"thought","data":"additional posts and"}
{"type":"thought","data":" a total of seventy-four."}
{"type":"thought","data":" That lands solidly inside the YES band."}
{"type":"thought","data":" However, afternoon "}
{"type":"thought","data":"posting is systematically"}
{"type":"thought","data":" higher than overnight"}
{"type":"thought","data":" activity. Yesterday's"}
{"type":"thought","data":" afternoon burst produced"}
{"type":"thought","data":" fifty-four countable"}
{"type":"thought","data":" posts in eight hours. Friday afternoons likely"}
{"type":"thought","data":" fall between nine and"}
{"type":"thought","data":" twenty. The simulation"}
{"type":"thought","data":" will model these different"}
{"type":"thought","data":" rates."}
{"type":"thought","data":"\n\nThe simulation will"}
{"type":"thought","data":" bootstrap by sampling"}
{"type":"thought","data":" the last ten days' "}
{"type":"thought","data":"same UTC hours as equally"}
{"type":"thought","data":" likely scenarios. Friday-specific"}
{"type":"thought","data":" data is too sparse "}
{"type":"thought","data":"to weight alone, so "}
{"type":"thought","data":"recent days will carry"}
{"type":"thought","data":" more weight."}
{"type":"thought","data":"\n\nThe market price of"}
{"type":"thought","data":" twenty-five percent"}
{"type":"thought","data":" sits right between "}
{"type":"thought","data":"the two historical estimates."}
{"type":"thought","data":" There is no clear edge."}
{"type":"thought","data":"\n\nBetting NO is the "}
{"type":"thought","data":"safer choice for a binary"}
{"type":"thought","data":" win. The user's prior"}
{"type":"thought","data":" record shows they lost"}
{"type":"thought","data":" a heavy favorite bet."}
{"type":"thought","data":" The scoring mechanism"}
{"type":"thought","data":" for this competition"}
{"type":"thought","data":" is still unclear."}
{"type":"thought","data":"\n\nThe scoring is P&L-based."}
{"type":"thought","data":" A correct NO bet wins"}
{"type":"thought","data":" 33.3 tokens, while "}
{"type":"thought","data":"a correct YES bet wins"}
{"type":"thought","data":" 300 tokens. The break-even"}
{"type":"thought","data":" point is exactly 25"}
{"type":"thought","data":" percent probability."}
{"type":"thought","data":" Any honest estimate"}
{"type":"thought","data":" above that makes YES"}
{"type":"thought","data":" the higher-value choice."}
{"type":"thought","data":" The user's prior record"}
{"type":"thought","data":" of losing a heavy favorite"}
{"type":"thought","data":" suggests they may be"}
{"type":"thought","data":" overconfident in their"}
{"type":"thought","data":" own edge."}
{"type":"thought","data":"\n\nThe longshot bet carries"}
{"type":"thought","data":" a far larger absolute"}
{"type":"thought","data":" payout than the favorite."}
{"type":"thought","data":" A correct YES bet wins"}
{"type":"thought","data":" 300 tokens, while a"}
{"type":"thought","data":" correct NO bet wins"}
{"type":"thought","data":" only 33. If the market"}
{"type":"thought","data":" resolves in favor of"}
{"type":"thought","data":" the longshot, the agent"}
{"type":"thought","data":" who took it will outscore"}
{"type":"thought","data":" every agent who chose"}
{"type":"thought","data":" the favorite. The goal"}
{"type":"thought","data":" is not just to be right,"}
{"type":"thought","data":" but to be the single"}
{"type":"thought","data":" winner."}
{"type":"thought","data":"\n\nThe user will bet "}
{"type":"thought","data":"NO. They estimate the"}
{"type":"thought","data":" probability of NO at"}
{"type":"thought","data":" roughly seventy-two"}
{"type":"thought","data":" to eighty percent. "}
{"type":"thought","data":"This follows the instruction"}
{"type":"thought","data":" to pick the outcome"}
{"type":"thought","data":" most likely to pay "}
{"type":"thought","data":"off."}
{"type":"thought","data":"\n\nThe base count is sixty-two. The next step is a probabilistic model using independent Poisson rates for each hour, blended fifty-fifty between Friday-specific and recent-day data. Expected value and the full distribution will be computed."}
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"}
{"type":"tool_call","toolCallId":"call-c8f4f754-a545-4ab2-9392-bbab6db93b9e-13","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"python3 - << 'PY'\nimport json, random\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# list of (datetime, )\nevents=[parse(p[\"createdAt\"]) for p in posts]\n\n# Build per-date hour counts\nby=defaultdict(lambda: [0]*24)\nfor t in events:\n    by[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# Remaining hours as list of (date_offset, hour) from Oct 9 15:00 through Oct 10 15:00 inclusive\n# Current time ~15:26 so hour 15 is ~50% remaining. We'll treat hour 15 as half.\n# Simulate by resampling historical days' same hour.\n\n# Candidate source days that have the next day too\ndates=sorted(by)\ncomplete=[]\nfor ds in dates:\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt in by and ds>=\"2026-09-25\" and ds<=\"2026-10-08\":\n        complete.append(ds)\nprint(\"complete source days\", len(complete))\n\ndef slice_counts(ds):\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    hours=[]\n    # hour 15 of ds (we'll scale 0.5 later optionally), 16-23, then 0-15 of next\n    hours.append(by[ds][15])\n    for h in range(16,24):\n        hours.append(by[ds][h])\n    for h in range(0,16):\n        hours.append(by[nxt][h])\n    return hours\n\n# scenarios\nprint(\"\\nAll scenarios additional (full hour 15 included):\")\nadds=[]\nfor ds in complete:\n    s=slice_counts(ds)\n    # discount hour 15 by half because we're mid-hour and it's been 0 so far\n    adj=s[0]*0.5 + sum(s[1:])\n    dow=datetime.fromisoformat(ds).strftime(\"%A\")\n    adds.append((ds, dow, sum(s), adj))\n    final=62+adj\n    band=\"65-89\" if 65<=final<=89 else (\"<65\" if final<65 else \"90+\")\n    print(f\"{ds} {dow[:3]} raw {sum(s):5.0f} adj {adj:5.1f} final {final:5.1f} {band}\")\n\n# weighted: last 7 days weight 3, previous weight 1; Fridays extra\nprint(\"\\n--- bootstrap ---\")\nrandom.seed(1)\n# recency weights\nweights=[]\nfor ds,dow,raw,adj in adds:\n    age=(datetime.fromisoformat(\"2026-10-09\")-datetime.fromisoformat(ds)).days\n    w=3 if age<=7 else 1\n    if dow==\"Friday\":\n        w*=2\n    weights.append(w)\n\ndef pick():\n    r=random.random()*sum(weights)\n    c=0\n    for i,w in enumerate(weights):\n        c+=w\n        if r<=c:\n            return adds[i][3]\n    return adds[-1][3]\n\nN=20000\nyes=under=b90=b115=b140=0\nfinals=[]\nfor _ in range(N):\n    add=pick()\n    # add noise poisson-like: scale by lognormal? keep empirical\n    final=62+add\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nprint(f\"P<65 {under/N:.3f} P65-89 {yes/N:.3f} P90-114 {b90/N:.3f} P115-139 {b115/N:.3f} P140+ {b140/N:.3f}\")\nprint(\"mean final\", sum(finals)/N, \"median\", sorted(finals)[N//2])\n\n# unweighted all\nyes=under=b90=b115=b140=0\nfinals=[]\nfor ds,dow,raw,adj in adds:\n    final=62+adj\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nn=len(finals)\nprint(f\"UNWEIGHTED n={n} P<65 {under/n:.3f} P65-89 {yes/n:.3f} P90-114 {b90/n:.3f} P115-139 {b115/n:.3f} P140+ {b140/n:.3f}\")\n\n# last 7 days only\nprint(\"\\nLAST 7 only:\")\nsub=[a for a in adds if a[0]>=\"2026-10-02\"]\nfor a in sub:\n    print(a, \"final\", 62+a[3])\nyes=sum(1 for a in sub if 65<=62+a[3]<=89)\nprint(\"P yes\", yes/len(sub), \"n\", len(sub))\n\n# Fridays only\nprint(\"\\nFRIDAYS\")\nfor a in adds:\n    if a[1]==\"Friday\":\n        print(a, \"final\", 62+a[3], \"YES\" if 65<=62+a[3]<=89 else \"NO\")\n\n# Market implied\n# YES price 0.25, so if my p is X\nfor p in [0.20, 0.25, 0.29, 0.33, 0.40]:\n    ev_yes=p*(100/0.25-100)+(1-p)*(-100)\n    ev_no=(1-p)*(100/0.75-100)+p*(-100)\n    print(f\"p_yes={p:.2f} EV_yes={ev_yes:.1f} EV_no={ev_no:.1f}\")\nPY\n","description":"Estimate probability 65-89 band hits"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c8f4f754-a545-4ab2-9392-bbab6db93b9e-13","status":null,"content":[{"type":"content","content":{"type":"text","text":"Estimate probability 65-89 band hits"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c8f4f754-a545-4ab2-9392-bbab6db93b9e-13","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"python3 - << 'PY'\nimport json, random\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# list of (datetime, )\nevents=[parse(p[\"createdAt\"]) for p in posts]\n\n# Build per-date hour counts\nby=defaultdict(lambda: [0]*24)\nfor t in events:\n    by[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# Remaining hours as list of (date_offset, hour) from Oct 9 15:00 through Oct 10 15:00 inclusive\n# Current time ~15:26 so hour 15 is ~50% remaining. We'll treat hour 15 as half.\n# Simulate by resampling historical days' same hour.\n\n# Candidate source days that have the next day too\ndates=sorted(by)\ncomplete=[]\nfor ds in dates:\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt in by and ds>=\"2026-09-25\" and ds<=\"2026-10-08\":\n        complete.append(ds)\nprint(\"complete source days\", len(complete))\n\ndef slice_counts(ds):\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    hours=[]\n    # hour 15 of ds (we'll scale 0.5 later optionally), 16-23, then 0-15 of next\n    hours.append(by[ds][15])\n    for h in range(16,24):\n        hours.append(by[ds][h])\n    for h in range(0,16):\n        hours.append(by[nxt][h])\n    return hours\n\n# scenarios\nprint(\"\\nAll scenarios additional (full hour 15 included):\")\nadds=[]\nfor ds in complete:\n    s=slice_counts(ds)\n    # discount hour 15 by half because we're mid-hour and it's been 0 so far\n    adj=s[0]*0.5 + sum(s[1:])\n    dow=datetime.fromisoformat(ds).strftime(\"%A\")\n    adds.append((ds, dow, sum(s), adj))\n    final=62+adj\n    band=\"65-89\" if 65<=final<=89 else (\"<65\" if final<65 else \"90+\")\n    print(f\"{ds} {dow[:3]} raw {sum(s):5.0f} adj {adj:5.1f} final {final:5.1f} {band}\")\n\n# weighted: last 7 days weight 3, previous weight 1; Fridays extra\nprint(\"\\n--- bootstrap ---\")\nrandom.seed(1)\n# recency weights\nweights=[]\nfor ds,dow,raw,adj in adds:\n    age=(datetime.fromisoformat(\"2026-10-09\")-datetime.fromisoformat(ds)).days\n    w=3 if age<=7 else 1\n    if dow==\"Friday\":\n        w*=2\n    weights.append(w)\n\ndef pick():\n    r=random.random()*sum(weights)\n    c=0\n    for i,w in enumerate(weights):\n        c+=w\n        if r<=c:\n            return adds[i][3]\n    return adds[-1][3]\n\nN=20000\nyes=under=b90=b115=b140=0\nfinals=[]\nfor _ in range(N):\n    add=pick()\n    # add noise poisson-like: scale by lognormal? keep empirical\n    final=62+add\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nprint(f\"P<65 {under/N:.3f} P65-89 {yes/N:.3f} P90-114 {b90/N:.3f} P115-139 {b115/N:.3f} P140+ {b140/N:.3f}\")\nprint(\"mean final\", sum(finals)/N, \"median\", sorted(finals)[N//2])\n\n# unweighted all\nyes=under=b90=b115=b140=0\nfinals=[]\nfor ds,dow,raw,adj in adds:\n    final=62+adj\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nn=len(finals)\nprint(f\"UNWEIGHTED n={n} P<65 {under/n:.3f} P65-89 {yes/n:.3f} P90-114 {b90/n:.3f} P115-139 {b115/n:.3f} P140+ {b140/n:.3f}\")\n\n# last 7 days only\nprint(\"\\nLAST 7 only:\")\nsub=[a for a in adds if a[0]>=\"2026-10-02\"]\nfor a in sub:\n    print(a, \"final\", 62+a[3])\nyes=sum(1 for a in sub if 65<=62+a[3]<=89)\nprint(\"P yes\", yes/len(sub), \"n\", len(sub))\n\n# Fridays only\nprint(\"\\nFRIDAYS\")\nfor a in adds:\n    if a[1]==\"Friday\":\n        print(a, \"final\", 62+a[3], \"YES\" if 65<=62+a[3]<=89 else \"NO\")\n\n# Market implied\n# YES price 0.25, so if my p is X\nfor p in [0.20, 0.25, 0.29, 0.33, 0.40]:\n    ev_yes=p*(100/0.25-100)+(1-p)*(-100)\n    ev_no=(1-p)*(100/0.75-100)+p*(-100)\n    print(f\"p_yes={p:.2f} EV_yes={ev_yes:.1f} EV_no={ev_no:.1f}\")\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c8f4f754-a545-4ab2-9392-bbab6db93b9e-13","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"complete source days 14\n\nAll scenarios additional (full hour 15 included):\n2026-09-25 Fri raw    27 adj  27.0 final  89.0 65-89\n2026-09-26 Sat raw    26 adj  26.0 final  88.0 65-89\n2026-09-27 Sun raw    37 adj  36.5 final  98.5 90+\n2026-09-28 Mon raw    22 adj  22.0 final  84.0 65-89\n2026-09-29 Tue raw    35 adj  34.5 final  96.5 90+\n2026-09-30 Wed raw    33 adj  33.0 final  95.0 90+\n2026-10-01 Thu raw    49 adj  46.5 final 108.5 90+\n2026-10-02 Fri raw    29 adj  28.0 final  90.0 90+\n2026-10-03 Sat raw    42 adj  42.0 final 104.0 90+\n2026-10-04 Sun raw    36 adj  31.5 final  93.5 90+\n2026-10-05 Mon raw     8 adj   8.0 final  70.0 65-89\n2026-10-06 Tue raw    59 adj  55.0 final 117.0 90+\n2026-10-07 Wed raw   116 adj 112.5 final 174.5 90+\n2026-10-08 Thu raw    67 adj  64.5 final 126.5 90+\n\n--- bootstrap ---\nP<65 0.000 P65-89 0.220 P90-114 0.501 P115-139 0.186 P140+ 0.094\nmean final 104.494425 median 93.5\nUNWEIGHTED n=14 P<65 0.000 P65-89 0.286 P90-114 0.500 P115-139 0.143 P140+ 0.071\n\nLAST 7 only:\n('2026-10-02', 'Friday', 29, 28.0) final 90.0\n('2026-10-03', 'Saturday', 42, 42.0) final 104.0\n('2026-10-04', 'Sunday', 36, 31.5) final 93.5\n('2026-10-05', 'Monday', 8, 8.0) final 70.0\n('2026-10-06', 'Tuesday', 59, 55.0) final 117.0\n('2026-10-07', 'Wednesday', 116, 112.5) final 174.5\n('2026-10-08', 'Thursday', 67, 64.5) final 126.5\nP yes 0.14285714285714285 n 7\n\nFRIDAYS\n('2026-09-25', 'Friday', 27, 27.0) final 89.0 YES\n('2026-10-02', 'Friday', 29, 28.0) final 90.0 NO\np_yes=0.20 EV_yes=-20.0 EV_no=6.7\np_yes=0.25 EV_yes=0.0 EV_no=0.0\np_yes=0.29 EV_yes=16.0 EV_no=-5.3\np_yes=0.33 EV_yes=32.0 EV_no=-10.7\np_yes=0.40 EV_yes=60.0 EV_no=-20.0\n"}}],"rawOutput":{"type":"Bash","output":[99,111,109,112,108,101,116,101,32,115,111,117,114,99,101,32,100,97,121,115,32,49,52,10,10,65,108,108,32,115,99,101,110,97,114,105,111,115,32,97,100,100,105,116,105,111,110,97,108,32,40,102,117,108,108,32,104,111,117,114,32,49,53,32,105,110,99,108,117,100,101,100,41,58,10,50,48,50,54,45,48,57,45,50,53,32,70,114,105,32,114,97,119,32,32,32,32,50,55,32,97,100,106,32,32,50,55,46,48,32,102,105,110,97,108,32,32,56,57,46,48,32,54,53,45,56,57,10,50,48,50,54,45,48,57,45,50,54,32,83,97,116,32,114,97,119,32,32,32,32,50,54,32,97,100,106,32,32,50,54,46,48,32,102,105,110,97,108,32,32,56,56,46,48,32,54,53,45,56,57,10,50,48,50,54,45,48,57,45,50,55,32,83,117,110,32,114,97,119,32,32,32,32,51,55,32,97,100,106,32,32,51,54,46,53,32,102,105,110,97,108,32,32,57,56,46,53,32,57,48,43,10,50,48,50,54,45,48,57,45,50,56,32,77,111,110,32,114,97,119,32,32,32,32,50,50,32,97,100,106,32,32,50,50,46,48,32,102,105,110,97,108,32,32,56,52,46,48,32,54,53,45,56,57,10,50,48,50,54,45,48,57,45,50,57,32,84,117,101,32,114,97,119,32,32,32,32,51,53,32,97,100,106,32,32,51,52,46,53,32,102,105,110,97,108,32,32,57,54,46,53,32,57,48,43,10,50,48,50,54,45,48,57,45,51,48,32,87,101,100,32,114,97,119,32,32,32,32,51,51,32,97,100,106,32,32,51,51,46,48,32,102,105,110,97,108,32,32,57,53,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,49,32,84,104,117,32,114,97,119,32,32,32,32,52,57,32,97,100,106,32,32,52,54,46,53,32,102,105,110,97,108,32,49,48,56,46,53,32,57,48,43,10,50,48,50,54,45,49,48,45,48,50,32,70,114,105,32,114,97,119,32,32,32,32,50,57,32,97,100,106,32,32,50,56,46,48,32,102,105,110,97,108,32,32,57,48,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,51,32,83,97,116,32,114,97,119,32,32,32,32,52,50,32,97,100,106,32,32,52,50,46,48,32,102,105,110,97,108,32,49,48,52,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,52,32,83,117,110,32,114,97,119,32,32,32,32,51,54,32,97,100,106,32,32,51,49,46,53,32,102,105,110,97,108,32,32,57,51,46,53,32,57,48,43,10,50,48,50,54,45,49,48,45,48,53,32,77,111,110,32,114,97,119,32,32,32,32,32,56,32,97,100,106,32,32,32,56,46,48,32,102,105,110,97,108,32,32,55,48,46,48,32,54,53,45,56,57,10,50,48,50,54,45,49,48,45,48,54,32,84,117,101,32,114,97,119,32,32,32,32,53,57,32,97,100,106,32,32,53,53,46,48,32,102,105,110,97,108,32,49,49,55,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,55,32,87,101,100,32,114,97,119,32,32,32,49,49,54,32,97,100,106,32,49,49,50,46,53,32,102,105,110,97,108,32,49,55,52,46,53,32,57,48,43,10,50,48,50,54,45,49,48,45,48,56,32,84,104,117,32,114,97,119,32,32,32,32,54,55,32,97,100,106,32,32,54,52,46,53,32,102,105,110,97,108,32,49,50,54,46,53,32,57,48,43,10,10,45,45,45,32,98,111,111,116,115,116,114,97,112,32,45,45,45,10,80,60,54,53,32,48,46,48,48,48,32,80,54,53,45,56,57,32,48,46,50,50,48,32,80,57,48,45,49,49,52,32,48,46,53,48,49,32,80,49,49,53,45,49,51,57,32,48,46,49,56,54,32,80,49,52,48,43,32,48,46,48,57,52,10,109,101,97,110,32,102,105,110,97,108,32,49,48,52,46,52,57,52,52,50,53,32,109,101,100,105,97,110,32,57,51,46,53,10,85,78,87,69,73,71,72,84,69,68,32,110,61,49,52,32,80,60,54,53,32,48,46,48,48,48,32,80,54,53,45,56,57,32,48,46,50,56,54,32,80,57,48,45,49,49,52,32,48,46,53,48,48,32,80,49,49,53,45,49,51,57,32,48,46,49,52,51,32,80,49,52,48,43,32,48,46,48,55,49,10,10,76,65,83,84,32,55,32,111,110,108,121,58,10,40,39,50,48,50,54,45,49,48,45,48,50,39,44,32,39,70,114,105,100,97,121,39,44,32,50,57,44,32,50,56,46,48,41,32,102,105,110,97,108,32,57,48,46,48,10,40,39,50,48,50,54,45,49,48,45,48,51,39,44,32,39,83,97,116,117,114,100,97,121,39,44,32,52,50,44,32,52,50,46,48,41,32,102,105,110,97,108,32,49,48,52,46,48,10,40,39,50,48,50,54,45,49,48,45,48,52,39,44,32,39,83,117,110,100,97,121,39,44,32,51,54,44,32,51,49,46,53,41,32,102,105,110,97,108,32,57,51,46,53,10,40,39,50,48,50,54,45,49,48,45,48,53,39,44,32,39,77,111,110,100,97,121,39,44,32,56,44,32,56,46,48,41,32,102,105,110,97,108,32,55,48,46,48,10,40,39,50,48,50,54,45,49,48,45,48,54,39,44,32,39,84,117,101,115,100,97,121,39,44,32,53,57,44,32,53,53,46,48,41,32,102,105,110,97,108,32,49,49,55,46,48,10,40,39,50,48,50,54,45,49,48,45,48,55,39,44,32,39,87,101,100,110,101,115,100,97,121,39,44,32,49,49,54,44,32,49,49,50,46,53,41,32,102,105,110,97,108,32,49,55,52,46,53,10,40,39,50,48,50,54,45,49,48,45,48,56,39,44,32,39,84,104,117,114,115,100,97,121,39,44,32,54,55,44,32,54,52,46,53,41,32,102,105,110,97,108,32,49,50,54,46,53,10,80,32,121,101,115,32,48,46,49,52,50,56,53,55,49,52,50,56,53,55,49,52,50,56,53,32,110,32,55,10,10,70,82,73,68,65,89,83,10,40,39,50,48,50,54,45,48,57,45,50,53,39,44,32,39,70,114,105,100,97,121,39,44,32,50,55,44,32,50,55,46,48,41,32,102,105,110,97,108,32,56,57,46,48,32,89,69,83,10,40,39,50,48,50,54,45,49,48,45,48,50,39,44,32,39,70,114,105,100,97,121,39,44,32,50,57,44,32,50,56,46,48,41,32,102,105,110,97,108,32,57,48,46,48,32,78,79,10,112,95,121,101,115,61,48,46,50,48,32,69,86,95,121,101,115,61,45,50,48,46,48,32,69,86,95,110,111,61,54,46,55,10,112,95,121,101,115,61,48,46,50,53,32,69,86,95,121,101,115,61,48,46,48,32,69,86,95,110,111,61,48,46,48,10,112,95,121,101,115,61,48,46,50,57,32,69,86,95,121,101,115,61,49,54,46,48,32,69,86,95,110,111,61,45,53,46,51,10,112,95,121,101,115,61,48,46,51,51,32,69,86,95,121,101,115,61,51,50,46,48,32,69,86,95,110,111,61,45,49,48,46,55,10,112,95,121,101,115,61,48,46,52,48,32,69,86,95,121,101,115,61,54,48,46,48,32,69,86,95,110,111,61,45,50,48,46,48,10],"output_for_prompt":"complete source days 14\n\nAll scenarios additional (full hour 15 included):\n2026-09-25 Fri raw    27 adj  27.0 final  89.0 65-89\n2026-09-26 Sat raw    26 adj  26.0 final  88.0 65-89\n2026-09-27 Sun raw    37 adj  36.5 final  98.5 90+\n2026-09-28 Mon raw    22 adj  22.0 final  84.0 65-89\n2026-09-29 Tue raw    35 adj  34.5 final  96.5 90+\n2026-09-30 Wed raw    33 adj  33.0 final  95.0 90+\n2026-10-01 Thu raw    49 adj  46.5 final 108.5 90+\n2026-10-02 Fri raw    29 adj  28.0 final  90.0 90+\n2026-10-03 Sat raw    42 adj  42.0 final 104.0 90+\n2026-10-04 Sun raw    36 adj  31.5 final  93.5 90+\n2026-10-05 Mon raw     8 adj   8.0 final  70.0 65-89\n2026-10-06 Tue raw    59 adj  55.0 final 117.0 90+\n2026-10-07 Wed raw   116 adj 112.5 final 174.5 90+\n2026-10-08 Thu raw    67 adj  64.5 final 126.5 90+\n\n--- bootstrap ---\nP<65 0.000 P65-89 0.220 P90-114 0.501 P115-139 0.186 P140+ 0.094\nmean final 104.494425 median 93.5\nUNWEIGHTED n=14 P<65 0.000 P65-89 0.286 P90-114 0.500 P115-139 0.143 P140+ 0.071\n\nLAST 7 only:\n('2026-10-02', 'Friday', 29, 28.0) final 90.0\n('2026-10-03', 'Saturday', 42, 42.0) final 104.0\n('2026-10-04', 'Sunday', 36, 31.5) final 93.5\n('2026-10-05', 'Monday', 8, 8.0) final 70.0\n('2026-10-06', 'Tuesday', 59, 55.0) final 117.0\n('2026-10-07', 'Wednesday', 116, 112.5) final 174.5\n('2026-10-08', 'Thursday', 67, 64.5) final 126.5\nP yes 0.14285714285714285 n 7\n\nFRIDAYS\n('2026-09-25', 'Friday', 27, 27.0) final 89.0 YES\n('2026-10-02', 'Friday', 29, 28.0) final 90.0 NO\np_yes=0.20 EV_yes=-20.0 EV_no=6.7\np_yes=0.25 EV_yes=0.0 EV_no=0.0\np_yes=0.29 EV_yes=16.0 EV_no=-5.3\np_yes=0.33 EV_yes=32.0 EV_no=-10.7\np_yes=0.40 EV_yes=60.0 EV_no=-20.0\n","exit_code":0,"command":"python3 - << 'PY'\nimport json, random\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# list of (datetime, )\nevents=[parse(p[\"createdAt\"]) for p in posts]\n\n# Build per-date hour counts\nby=defaultdict(lambda: [0]*24)\nfor t in events:\n    by[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# Remaining hours as list of (date_offset, hour) from Oct 9 15:00 through Oct 10 15:00 inclusive\n# Current time ~15:26 so hour 15 is ~50% remaining. We'll treat hour 15 as half.\n# Simulate by resampling historical days' same hour.\n\n# Candidate source days that have the next day too\ndates=sorted(by)\ncomplete=[]\nfor ds in dates:\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt in by and ds>=\"2026-09-25\" and ds<=\"2026-10-08\":\n        complete.append(ds)\nprint(\"complete source days\", len(complete))\n\ndef slice_counts(ds):\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    hours=[]\n    # hour 15 of ds (we'll scale 0.5 later optionally), 16-23, then 0-15 of next\n    hours.append(by[ds][15])\n    for h in range(16,24):\n        hours.append(by[ds][h])\n    for h in range(0,16):\n        hours.append(by[nxt][h])\n    return hours\n\n# scenarios\nprint(\"\\nAll scenarios additional (full hour 15 included):\")\nadds=[]\nfor ds in complete:\n    s=slice_counts(ds)\n    # discount hour 15 by half because we're mid-hour and it's been 0 so far\n    adj=s[0]*0.5 + sum(s[1:])\n    dow=datetime.fromisoformat(ds).strftime(\"%A\")\n    adds.append((ds, dow, sum(s), adj))\n    final=62+adj\n    band=\"65-89\" if 65<=final<=89 else (\"<65\" if final<65 else \"90+\")\n    print(f\"{ds} {dow[:3]} raw {sum(s):5.0f} adj {adj:5.1f} final {final:5.1f} {band}\")\n\n# weighted: last 7 days weight 3, previous weight 1; Fridays extra\nprint(\"\\n--- bootstrap ---\")\nrandom.seed(1)\n# recency weights\nweights=[]\nfor ds,dow,raw,adj in adds:\n    age=(datetime.fromisoformat(\"2026-10-09\")-datetime.fromisoformat(ds)).days\n    w=3 if age<=7 else 1\n    if dow==\"Friday\":\n        w*=2\n    weights.append(w)\n\ndef pick():\n    r=random.random()*sum(weights)\n    c=0\n    for i,w in enumerate(weights):\n        c+=w\n        if r<=c:\n            return adds[i][3]\n    return adds[-1][3]\n\nN=20000\nyes=under=b90=b115=b140=0\nfinals=[]\nfor _ in range(N):\n    add=pick()\n    # add noise poisson-like: scale by lognormal? keep empirical\n    final=62+add\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nprint(f\"P<65 {under/N:.3f} P65-89 {yes/N:.3f} P90-114 {b90/N:.3f} P115-139 {b115/N:.3f} P140+ {b140/N:.3f}\")\nprint(\"mean final\", sum(finals)/N, \"median\", sorted(finals)[N//2])\n\n# unweighted all\nyes=under=b90=b115=b140=0\nfinals=[]\nfor ds,dow,raw,adj in adds:\n    final=62+adj\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nn=len(finals)\nprint(f\"UNWEIGHTED n={n} P<65 {under/n:.3f} P65-89 {yes/n:.3f} P90-114 {b90/n:.3f} P115-139 {b115/n:.3f} P140+ {b140/n:.3f}\")\n\n# last 7 days only\nprint(\"\\nLAST 7 only:\")\nsub=[a for a in adds if a[0]>=\"2026-10-02\"]\nfor a in sub:\n    print(a, \"final\", 62+a[3])\nyes=sum(1 for a in sub if 65<=62+a[3]<=89)\nprint(\"P yes\", yes/len(sub), \"n\", len(sub))\n\n# Fridays only\nprint(\"\\nFRIDAYS\")\nfor a in adds:\n    if a[1]==\"Friday\":\n        print(a, \"final\", 62+a[3], \"YES\" if 65<=62+a[3]<=89 else \"NO\")\n\n# Market implied\n# YES price 0.25, so if my p is X\nfor p in [0.20, 0.25, 0.29, 0.33, 0.40]:\n    ev_yes=p*(100/0.25-100)+(1-p)*(-100)\n    ev_no=(1-p)*(100/0.75-100)+p*(-100)\n    print(f\"p_yes={p:.2f} EV_yes={ev_yes:.1f} EV_no={ev_no:.1f}\")\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":1652},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-c8f4f754-a545-4ab2-9392-bbab6db93b9e-13","status":"completed","content":[{"type":"content","content":{"type":"text","text":"complete source days 14\n\nAll scenarios additional (full hour 15 included):\n2026-09-25 Fri raw    27 adj  27.0 final  89.0 65-89\n2026-09-26 Sat raw    26 adj  26.0 final  88.0 65-89\n2026-09-27 Sun raw    37 adj  36.5 final  98.5 90+\n2026-09-28 Mon raw    22 adj  22.0 final  84.0 65-89\n2026-09-29 Tue raw    35 adj  34.5 final  96.5 90+\n2026-09-30 Wed raw    33 adj  33.0 final  95.0 90+\n2026-10-01 Thu raw    49 adj  46.5 final 108.5 90+\n2026-10-02 Fri raw    29 adj  28.0 final  90.0 90+\n2026-10-03 Sat raw    42 adj  42.0 final 104.0 90+\n2026-10-04 Sun raw    36 adj  31.5 final  93.5 90+\n2026-10-05 Mon raw     8 adj   8.0 final  70.0 65-89\n2026-10-06 Tue raw    59 adj  55.0 final 117.0 90+\n2026-10-07 Wed raw   116 adj 112.5 final 174.5 90+\n2026-10-08 Thu raw    67 adj  64.5 final 126.5 90+\n\n--- bootstrap ---\nP<65 0.000 P65-89 0.220 P90-114 0.501 P115-139 0.186 P140+ 0.094\nmean final 104.494425 median 93.5\nUNWEIGHTED n=14 P<65 0.000 P65-89 0.286 P90-114 0.500 P115-139 0.143 P140+ 0.071\n\nLAST 7 only:\n('2026-10-02', 'Friday', 29, 28.0) final 90.0\n('2026-10-03', 'Saturday', 42, 42.0) final 104.0\n('2026-10-04', 'Sunday', 36, 31.5) final 93.5\n('2026-10-05', 'Monday', 8, 8.0) final 70.0\n('2026-10-06', 'Tuesday', 59, 55.0) final 117.0\n('2026-10-07', 'Wednesday', 116, 112.5) final 174.5\n('2026-10-08', 'Thursday', 67, 64.5) final 126.5\nP yes 0.14285714285714285 n 7\n\nFRIDAYS\n('2026-09-25', 'Friday', 27, 27.0) final 89.0 YES\n('2026-10-02', 'Friday', 29, 28.0) final 90.0 NO\np_yes=0.20 EV_yes=-20.0 EV_no=6.7\np_yes=0.25 EV_yes=0.0 EV_no=0.0\np_yes=0.29 EV_yes=16.0 EV_no=-5.3\np_yes=0.33 EV_yes=32.0 EV_no=-10.7\np_yes=0.40 EV_yes=60.0 EV_no=-20.0\n"}}],"rawOutput":{"type":"Bash","output":[99,111,109,112,108,101,116,101,32,115,111,117,114,99,101,32,100,97,121,115,32,49,52,10,10,65,108,108,32,115,99,101,110,97,114,105,111,115,32,97,100,100,105,116,105,111,110,97,108,32,40,102,117,108,108,32,104,111,117,114,32,49,53,32,105,110,99,108,117,100,101,100,41,58,10,50,48,50,54,45,48,57,45,50,53,32,70,114,105,32,114,97,119,32,32,32,32,50,55,32,97,100,106,32,32,50,55,46,48,32,102,105,110,97,108,32,32,56,57,46,48,32,54,53,45,56,57,10,50,48,50,54,45,48,57,45,50,54,32,83,97,116,32,114,97,119,32,32,32,32,50,54,32,97,100,106,32,32,50,54,46,48,32,102,105,110,97,108,32,32,56,56,46,48,32,54,53,45,56,57,10,50,48,50,54,45,48,57,45,50,55,32,83,117,110,32,114,97,119,32,32,32,32,51,55,32,97,100,106,32,32,51,54,46,53,32,102,105,110,97,108,32,32,57,56,46,53,32,57,48,43,10,50,48,50,54,45,48,57,45,50,56,32,77,111,110,32,114,97,119,32,32,32,32,50,50,32,97,100,106,32,32,50,50,46,48,32,102,105,110,97,108,32,32,56,52,46,48,32,54,53,45,56,57,10,50,48,50,54,45,48,57,45,50,57,32,84,117,101,32,114,97,119,32,32,32,32,51,53,32,97,100,106,32,32,51,52,46,53,32,102,105,110,97,108,32,32,57,54,46,53,32,57,48,43,10,50,48,50,54,45,48,57,45,51,48,32,87,101,100,32,114,97,119,32,32,32,32,51,51,32,97,100,106,32,32,51,51,46,48,32,102,105,110,97,108,32,32,57,53,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,49,32,84,104,117,32,114,97,119,32,32,32,32,52,57,32,97,100,106,32,32,52,54,46,53,32,102,105,110,97,108,32,49,48,56,46,53,32,57,48,43,10,50,48,50,54,45,49,48,45,48,50,32,70,114,105,32,114,97,119,32,32,32,32,50,57,32,97,100,106,32,32,50,56,46,48,32,102,105,110,97,108,32,32,57,48,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,51,32,83,97,116,32,114,97,119,32,32,32,32,52,50,32,97,100,106,32,32,52,50,46,48,32,102,105,110,97,108,32,49,48,52,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,52,32,83,117,110,32,114,97,119,32,32,32,32,51,54,32,97,100,106,32,32,51,49,46,53,32,102,105,110,97,108,32,32,57,51,46,53,32,57,48,43,10,50,48,50,54,45,49,48,45,48,53,32,77,111,110,32,114,97,119,32,32,32,32,32,56,32,97,100,106,32,32,32,56,46,48,32,102,105,110,97,108,32,32,55,48,46,48,32,54,53,45,56,57,10,50,48,50,54,45,49,48,45,48,54,32,84,117,101,32,114,97,119,32,32,32,32,53,57,32,97,100,106,32,32,53,53,46,48,32,102,105,110,97,108,32,49,49,55,46,48,32,57,48,43,10,50,48,50,54,45,49,48,45,48,55,32,87,101,100,32,114,97,119,32,32,32,49,49,54,32,97,100,106,32,49,49,50,46,53,32,102,105,110,97,108,32,49,55,52,46,53,32,57,48,43,10,50,48,50,54,45,49,48,45,48,56,32,84,104,117,32,114,97,119,32,32,32,32,54,55,32,97,100,106,32,32,54,52,46,53,32,102,105,110,97,108,32,49,50,54,46,53,32,57,48,43,10,10,45,45,45,32,98,111,111,116,115,116,114,97,112,32,45,45,45,10,80,60,54,53,32,48,46,48,48,48,32,80,54,53,45,56,57,32,48,46,50,50,48,32,80,57,48,45,49,49,52,32,48,46,53,48,49,32,80,49,49,53,45,49,51,57,32,48,46,49,56,54,32,80,49,52,48,43,32,48,46,48,57,52,10,109,101,97,110,32,102,105,110,97,108,32,49,48,52,46,52,57,52,52,50,53,32,109,101,100,105,97,110,32,57,51,46,53,10,85,78,87,69,73,71,72,84,69,68,32,110,61,49,52,32,80,60,54,53,32,48,46,48,48,48,32,80,54,53,45,56,57,32,48,46,50,56,54,32,80,57,48,45,49,49,52,32,48,46,53,48,48,32,80,49,49,53,45,49,51,57,32,48,46,49,52,51,32,80,49,52,48,43,32,48,46,48,55,49,10,10,76,65,83,84,32,55,32,111,110,108,121,58,10,40,39,50,48,50,54,45,49,48,45,48,50,39,44,32,39,70,114,105,100,97,121,39,44,32,50,57,44,32,50,56,46,48,41,32,102,105,110,97,108,32,57,48,46,48,10,40,39,50,48,50,54,45,49,48,45,48,51,39,44,32,39,83,97,116,117,114,100,97,121,39,44,32,52,50,44,32,52,50,46,48,41,32,102,105,110,97,108,32,49,48,52,46,48,10,40,39,50,48,50,54,45,49,48,45,48,52,39,44,32,39,83,117,110,100,97,121,39,44,32,51,54,44,32,51,49,46,53,41,32,102,105,110,97,108,32,57,51,46,53,10,40,39,50,48,50,54,45,49,48,45,48,53,39,44,32,39,77,111,110,100,97,121,39,44,32,56,44,32,56,46,48,41,32,102,105,110,97,108,32,55,48,46,48,10,40,39,50,48,50,54,45,49,48,45,48,54,39,44,32,39,84,117,101,115,100,97,121,39,44,32,53,57,44,32,53,53,46,48,41,32,102,105,110,97,108,32,49,49,55,46,48,10,40,39,50,48,50,54,45,49,48,45,48,55,39,44,32,39,87,101,100,110,101,115,100,97,121,39,44,32,49,49,54,44,32,49,49,50,46,53,41,32,102,105,110,97,108,32,49,55,52,46,53,10,40,39,50,48,50,54,45,49,48,45,48,56,39,44,32,39,84,104,117,114,115,100,97,121,39,44,32,54,55,44,32,54,52,46,53,41,32,102,105,110,97,108,32,49,50,54,46,53,10,80,32,121,101,115,32,48,46,49,52,50,56,53,55,49,52,50,56,53,55,49,52,50,56,53,32,110,32,55,10,10,70,82,73,68,65,89,83,10,40,39,50,48,50,54,45,48,57,45,50,53,39,44,32,39,70,114,105,100,97,121,39,44,32,50,55,44,32,50,55,46,48,41,32,102,105,110,97,108,32,56,57,46,48,32,89,69,83,10,40,39,50,48,50,54,45,49,48,45,48,50,39,44,32,39,70,114,105,100,97,121,39,44,32,50,57,44,32,50,56,46,48,41,32,102,105,110,97,108,32,57,48,46,48,32,78,79,10,112,95,121,101,115,61,48,46,50,48,32,69,86,95,121,101,115,61,45,50,48,46,48,32,69,86,95,110,111,61,54,46,55,10,112,95,121,101,115,61,48,46,50,53,32,69,86,95,121,101,115,61,48,46,48,32,69,86,95,110,111,61,48,46,48,10,112,95,121,101,115,61,48,46,50,57,32,69,86,95,121,101,115,61,49,54,46,48,32,69,86,95,110,111,61,45,53,46,51,10,112,95,121,101,115,61,48,46,51,51,32,69,86,95,121,101,115,61,51,50,46,48,32,69,86,95,110,111,61,45,49,48,46,55,10,112,95,121,101,115,61,48,46,52,48,32,69,86,95,121,101,115,61,54,48,46,48,32,69,86,95,110,111,61,45,50,48,46,48,10],"output_for_prompt":"exit: 0\ncomplete source days 14\n\nAll scenarios additional (full hour 15 included):\n2026-09-25 Fri raw    27 adj  27.0 final  89.0 65-89\n2026-09-26 Sat raw    26 adj  26.0 final  88.0 65-89\n2026-09-27 Sun raw    37 adj  36.5 final  98.5 90+\n2026-09-28 Mon raw    22 adj  22.0 final  84.0 65-89\n2026-09-29 Tue raw    35 adj  34.5 final  96.5 90+\n2026-09-30 Wed raw    33 adj  33.0 final  95.0 90+\n2026-10-01 Thu raw    49 adj  46.5 final 108.5 90+\n2026-10-02 Fri raw    29 adj  28.0 final  90.0 90+\n2026-10-03 Sat raw    42 adj  42.0 final 104.0 90+\n2026-10-04 Sun raw    36 adj  31.5 final  93.5 90+\n2026-10-05 Mon raw     8 adj   8.0 final  70.0 65-89\n2026-10-06 Tue raw    59 adj  55.0 final 117.0 90+\n2026-10-07 Wed raw   116 adj 112.5 final 174.5 90+\n2026-10-08 Thu raw    67 adj  64.5 final 126.5 90+\n\n--- bootstrap ---\nP<65 0.000 P65-89 0.220 P90-114 0.501 P115-139 0.186 P140+ 0.094\nmean final 104.494425 median 93.5\nUNWEIGHTED n=14 P<65 0.000 P65-89 0.286 P90-114 0.500 P115-139 0.143 P140+ 0.071\n\nLAST 7 only:\n('2026-10-02', 'Friday', 29, 28.0) final 90.0\n('2026-10-03', 'Saturday', 42, 42.0) final 104.0\n('2026-10-04', 'Sunday', 36, 31.5) final 93.5\n('2026-10-05', 'Monday', 8, 8.0) final 70.0\n('2026-10-06', 'Tuesday', 59, 55.0) final 117.0\n('2026-10-07', 'Wednesday', 116, 112.5) final 174.5\n('2026-10-08', 'Thursday', 67, 64.5) final 126.5\nP yes 0.14285714285714285 n 7\n\nFRIDAYS\n('2026-09-25', 'Friday', 27, 27.0) final 89.0 YES\n('2026-10-02', 'Friday', 29, 28.0) final 90.0 NO\np_yes=0.20 EV_yes=-20.0 EV_no=6.7\np_yes=0.25 EV_yes=0.0 EV_no=0.0\np_yes=0.29 EV_yes=16.0 EV_no=-5.3\np_yes=0.33 EV_yes=32.0 EV_no=-10.7\np_yes=0.40 EV_yes=60.0 EV_no=-20.0\n","exit_code":0,"command":"python3 - << 'PY'\nimport json, random\nfrom datetime import datetime, timedelta, timezone\nfrom collections import defaultdict\nraw=json.load(open(\"/tmp/posts2.json\"))\nposts=raw if isinstance(raw, list) else raw.get(\"data\")\n\ndef parse(s):\n    return datetime.fromisoformat(s.replace(\"Z\",\"+00:00\"))\n\n# list of (datetime, )\nevents=[parse(p[\"createdAt\"]) for p in posts]\n\n# Build per-date hour counts\nby=defaultdict(lambda: [0]*24)\nfor t in events:\n    by[t.strftime(\"%Y-%m-%d\")][t.hour]+=1\n\n# Remaining hours as list of (date_offset, hour) from Oct 9 15:00 through Oct 10 15:00 inclusive\n# Current time ~15:26 so hour 15 is ~50% remaining. We'll treat hour 15 as half.\n# Simulate by resampling historical days' same hour.\n\n# Candidate source days that have the next day too\ndates=sorted(by)\ncomplete=[]\nfor ds in dates:\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    if nxt in by and ds>=\"2026-09-25\" and ds<=\"2026-10-08\":\n        complete.append(ds)\nprint(\"complete source days\", len(complete))\n\ndef slice_counts(ds):\n    d=datetime.fromisoformat(ds)\n    nxt=(d+timedelta(days=1)).strftime(\"%Y-%m-%d\")\n    hours=[]\n    # hour 15 of ds (we'll scale 0.5 later optionally), 16-23, then 0-15 of next\n    hours.append(by[ds][15])\n    for h in range(16,24):\n        hours.append(by[ds][h])\n    for h in range(0,16):\n        hours.append(by[nxt][h])\n    return hours\n\n# scenarios\nprint(\"\\nAll scenarios additional (full hour 15 included):\")\nadds=[]\nfor ds in complete:\n    s=slice_counts(ds)\n    # discount hour 15 by half because we're mid-hour and it's been 0 so far\n    adj=s[0]*0.5 + sum(s[1:])\n    dow=datetime.fromisoformat(ds).strftime(\"%A\")\n    adds.append((ds, dow, sum(s), adj))\n    final=62+adj\n    band=\"65-89\" if 65<=final<=89 else (\"<65\" if final<65 else \"90+\")\n    print(f\"{ds} {dow[:3]} raw {sum(s):5.0f} adj {adj:5.1f} final {final:5.1f} {band}\")\n\n# weighted: last 7 days weight 3, previous weight 1; Fridays extra\nprint(\"\\n--- bootstrap ---\")\nrandom.seed(1)\n# recency weights\nweights=[]\nfor ds,dow,raw,adj in adds:\n    age=(datetime.fromisoformat(\"2026-10-09\")-datetime.fromisoformat(ds)).days\n    w=3 if age<=7 else 1\n    if dow==\"Friday\":\n        w*=2\n    weights.append(w)\n\ndef pick():\n    r=random.random()*sum(weights)\n    c=0\n    for i,w in enumerate(weights):\n        c+=w\n        if r<=c:\n            return adds[i][3]\n    return adds[-1][3]\n\nN=20000\nyes=under=b90=b115=b140=0\nfinals=[]\nfor _ in range(N):\n    add=pick()\n    # add noise poisson-like: scale by lognormal? keep empirical\n    final=62+add\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nprint(f\"P<65 {under/N:.3f} P65-89 {yes/N:.3f} P90-114 {b90/N:.3f} P115-139 {b115/N:.3f} P140+ {b140/N:.3f}\")\nprint(\"mean final\", sum(finals)/N, \"median\", sorted(finals)[N//2])\n\n# unweighted all\nyes=under=b90=b115=b140=0\nfinals=[]\nfor ds,dow,raw,adj in adds:\n    final=62+adj\n    finals.append(final)\n    if final<65: under+=1\n    elif final<=89: yes+=1\n    elif final<=114: b90+=1\n    elif final<=139: b115+=1\n    else: b140+=1\nn=len(finals)\nprint(f\"UNWEIGHTED n={n} P<65 {under/n:.3f} P65-89 {yes/n:.3f} P90-114 {b90/n:.3f} P115-139 {b115/n:.3f} P140+ {b140/n:.3f}\")\n\n# last 7 days only\nprint(\"\\nLAST 7 only:\")\nsub=[a for a in adds if a[0]>=\"2026-10-02\"]\nfor a in sub:\n    print(a, \"final\", 62+a[3])\nyes=sum(1 for a in sub if 65<=62+a[3]<=89)\nprint(\"P yes\", yes/len(sub), \"n\", len(sub))\n\n# Fridays only\nprint(\"\\nFRIDAYS\")\nfor a in adds:\n    if a[1]==\"Friday\":\n        print(a, \"final\", 62+a[3], \"YES\" if 65<=62+a[3]<=89 else \"NO\")\n\n# Market implied\n# YES price 0.25, so if my p is X\nfor p in [0.20, 0.25, 0.29, 0.33, 0.40]:\n    ev_yes=p*(100/0.25-100)+(1-p)*(-100)\n    ev_no=(1-p)*(100/0.75-100)+p*(-100)\n    print(f\"p_yes={p:.2f} EV_yes={ev_yes:.1f} EV_no={ev_no:.1f}\")\nPY\n","truncated":false,"signal":null,"timed_out":false,"description":"Estimate probability 65-89 band hits","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-c8f4f754-a545-4ab2-9392-bbab6db93b9e-13.log","total_bytes":1652},"locations":[]}
{"type":"thought","data":"A weighted bootstrap"}
{"type":"thought","data":" estimate puts the probability"}
{"type":"thought","data":" of 65-89 tweets at "}
{"type":"thought","data":"22%."}
{"type":"thought","data":"\n\nThe 90-114 bucket "}
{"type":"thought","data":"is estimated at 50% "}
{"type":"thought","data":"versus the market's "}
{"type":"thought","data":"60%. The 115+ bucket"}
{"type":"thought","data":" is estimated at 19%"}
{"type":"thought","data":" versus roughly 2.5%."}
{"type":"thought","data":" The market compresses the tail and boosts"}
{"type":"thought","data":" the middle range. That"}
{"type":"thought","data":" tail compression likely"}
{"type":"thought","data":" reflects updated trader"}
{"type":"thought","data":" expectations of slower"}
{"type":"thought","data":" pace after recent bursts."}
{"type":"thought","data":"\n\nExcluding the two "}
{"type":"thought","data":"burst days suggests "}
{"type":"thought","data":"the tail is even smaller"}
{"type":"thought","data":" than estimated. The"}
{"type":"thought","data":" quiet period since "}
{"type":"thought","data":"then may have ended "}
{"type":"thought","data":"the burst regime."}
{"type":"thought","data":"\n\nA narrower look at"}
{"type":"thought","data":" the last five days "}
{"type":"thought","data":"yields a 20% probability"}
{"type":"thought","data":" of 65-89 tweets. The"}
{"type":"thought","data":" quiet morning is treated"}
{"type":"thought","data":" as a signal for whether"}
{"type":"thought","data":" Friday afternoon will"}
{"type":"thought","data":" be normal."}
{"type":"thought","data":"\n\nThe 09:00-15:00 UTC"}
{"type":"thought","data":" window contains 8 posts."}
{"type":"thought","data":" The prior 12-hour stretch"}
{"type":"thought","data":" had only 6. This suggests"}
{"type":"thought","data":" a low-posting regime."}
{"type":"thought","data":"\n\nThe 295-second window"}
{"type":"thought","data":" is nearly exhausted."}
{"type":"thought","data":" The probability of NO is estimated at roughly"}
{"type":"thought","data":" 78%, giving a small"}
{"type":"thought","data":" edge over the market's"}
{"type":"thought","data":" 75%. A confidence of"}
{"type":"thought","data":" 0.72 to 0.75 is being"}
{"type":"thought","data":" considered."}
{"type":"thought","data":"\n\nThe asymmetric payout"}
{"type":"thought","data":" makes NO the clear "}
{"type":"thought","data":"choice. At a 78% probability"}
{"type":"thought","data":" of NO, the expected"}
{"type":"thought","data":" value is roughly +4"}
{"type":"thought","data":" tokens versus -12 for"}
{"type":"thought","data":" YES. The unweighted"}
{"type":"thought","data":" two-week estimate would"}
{"type":"thought","data":" flip this edge."}
{"type":"thought","data":"\n\nThe market price of"}
{"type":"thought","data":" 0.25 is close to both"}
{"type":"thought","data":" the weighted and unweighted"}
{"type":"thought","data":" estimates, so the edge"}
{"type":"thought","data":" is modest. The NO side"}
{"type":"thought","data":" is still favored as"}
{"type":"thought","data":" the outcome most likely"}
{"type":"thought","data":" to pay off. Confidence"}
{"type":"thought","data":" will be set at 0.73"}
{"type":"thought","data":" because many scenarios"}
{"type":"thought","data":" fall near the 89-95"}
{"type":"thought","data":" boundary. The best "}
{"type":"thought","data":"bid on YES is 0.24 and"}
{"type":"thought","data":" the ask is 0.26."}
{"type":"thought","data":"\n\nThe effective price"}
{"type":"thought","data":" to buy NO is roughly"}
{"type":"thought","data":" 0.76, derived from "}
{"type":"thought","data":"the best bid on YES "}
{"type":"thought","data":"at 0.24. The default"}
{"type":"thought","data":" max-price of best ask"}
{"type":"thought","data":" plus 0.05 is acceptable"}
{"type":"thought","data":" for a NO bet. I will"}
{"type":"thought","data":" check seconds left "}
{"type":"thought","data":"before placing the trade."}
{"type":"thought","data":"\n\nThe two prior Fridays"}
{"type":"thought","data":" produced 89 and 90 "}
{"type":"thought","data":"tweets, a coin flip "}
{"type":"thought","data":"at the boundary. Recent"}
{"type":"thought","data":" days are hotter than"}
{"type":"thought","data":" those historical benchmarks."}
{"type":"thought","data":" If the quiet stretch"}
{"type":"thought","data":" continues, mean reversion"}
{"type":"thought","data":" toward a normal Friday"}
{"type":"thought","data":" would land near 89-91."}
{"type":"thought","data":" A hot continuation "}
{"type":"thought","data":"would push the total"}
{"type":"thought","data":" higher."}
{"type":"thought","data":"\n\nThe 90-114 bucket "}
{"type":"thought","data":"reflects a normal-to-moderate"}
{"type":"thought","data":" addition of roughly"}
{"type":"thought","data":" 30-50 tweets. A stay"}
{"type":"thought","data":" under 90 requires only"}
{"type":"thought","data":" about 1.1 posts per"}
{"type":"thought","data":" hour, matching the "}
{"type":"thought","data":"recent Friday rate. "}
{"type":"thought","data":"The 67-tweet October"}
{"type":"thought","data":" 8 count includes yesterday"}
{"type":"thought","data":" afternoon and is not"}
{"type":"thought","data":" a forward forecast."}
{"type":"thought","data":"\n\nYesterday's 67-post"}
{"type":"thought","data":" count is a valid historical"}
{"type":"thought","data":" draw for the next 25-hour"}
{"type":"thought","data":" window, not a forecast"}
{"type":"thought","data":" of tomorrow. Day-to-day"}
{"type":"thought","data":" autocorrelation shows"}
{"type":"thought","data":" mixed results: after"}
{"type":"thought","data":" a high day, the following"}
{"type":"thought","data":" day was lower (44 →"}
{"type":"thought","data":" 27) or higher (51 →"}
{"type":"thought","data":" 109). This suggests"}
{"type":"thought","data":" the burst may not be"}
{"type":"thought","data":" exhausted, and the "}
{"type":"thought","data":"next 25 hours could "}
{"type":"thought","data":"still be elevated."}
{"type":"thought","data":"\n\nThe 62-post count "}
{"type":"thought","data":"from yesterday afternoon"}
{"type":"thought","data":" suggests a mean-reversion"}
{"type":"thought","data":" to roughly 30-40 posts"}
{"type":"thought","data":" on the remaining day."}
{"type":"thought","data":" That would land near"}
{"type":"thought","data":" 92-104 total, keeping"}
{"type":"thought","data":" the market on the NO"}
{"type":"thought","data":" side. Confidence is"}
{"type":"thought","data":" set at 0.74."}
{"type":"thought","data":"\n\nThe quote will be "}
{"type":"thought","data":"a playful jab about "}
{"type":"thought","data":"the quiet morning versus"}
{"type":"thought","data":" the remaining 24 hours."}
{"type":"thought","data":" I am checking seconds"}
{"type":"thought","data":" left and preparing "}
{"type":"thought","data":"to place the bet."}
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"}
{"type":"tool_call","toolCallId":"call-cbbe907d-fedb-4201-8817-b799dff702e1-14","title":"run_terminal_command","kind":"execute","status":"pending","toolName":"run_terminal_command","rawInput":{"command":"bench market; echo \"==== YES BOOK ====\"; bench book --outcome Yes; echo \"==== NO BOOK ====\"; bench book --outcome No","description":"Check time left and both order books"},"content":[],"locations":[]}
{"type":"tool_call_update","toolCallId":"call-cbbe907d-fedb-4201-8817-b799dff702e1-14","status":null,"content":[{"type":"content","content":{"type":"text","text":"Check time left and both order books"}}],"rawOutput":null,"locations":[]}
{"type":"tool_call_update","toolCallId":"call-cbbe907d-fedb-4201-8817-b799dff702e1-14","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":""}}],"rawOutput":{"type":"Bash","output":[],"output_for_prompt":"","exit_code":0,"command":"bench market; echo \"==== YES BOOK ====\"; bench book --outcome Yes; echo \"==== NO BOOK ====\"; bench book --outcome No","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":0},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-cbbe907d-fedb-4201-8817-b799dff702e1-14","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n"}}],"rawOutput":{"type":"Bash","output":[123,10,32,32,34,113,117,101,115,116,105,111,110,34,58,32,34,87,105,108,108,32,69,108,111,110,32,77,117,115,107,32,112,111,115,116,32,54,53,45,56,57,32,116,119,101,101,116,115,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,34,44,10,32,32,34,100,101,115,99,114,105,112,116,105,111,110,34,58,32,34,84,104,105,115,32,109,97,114,107,101,116,32,119,105,108,108,32,114,101,115,111,108,118,101,32,97,99,99,111,114,100,105,110,103,32,116,111,32,116,104,101,32,110,117,109,98,101,114,32,111,102,32,116,105,109,101,115,32,69,108,111,110,32,77,117,115,107,32,40,64,101,108,111,110,109,117,115,107,41,44,32,112,111,115,116,115,32,111,110,32,88,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,49,50,58,48,48,32,80,77,32,69,84,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,32,49,50,58,48,48,32,80,77,32,69,84,46,92,110,92,110,70,111,114,32,116,104,101,32,112,117,114,112,111,115,101,115,32,111,102,32,116,104,105,115,32,109,97,114,107,101,116,44,32,111,110,108,121,32,109,97,105,110,32,102,101,101,100,32,112,111,115,116,115,44,32,113,117,111,116,101,32,112,111,115,116,115,32,97,110,100,32,114,101,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,46,92,110,92,110,82,101,112,108,105,101,115,32,119,105,108,108,32,78,79,84,32,99,111,117,110,116,32,116,111,119,97,114,100,115,32,116,104,101,32,116,111,116,97,108,32,45,32,104,111,119,101,118,101,114,44,32,114,101,112,108,105,101,115,32,111,110,32,116,104,101,32,109,97,105,110,32,102,101,101,100,32,115,117,99,104,32,97,115,32,104,116,116,112,115,58,47,47,120,46,99,111,109,47,101,108,111,110,109,117,115,107,47,115,116,97,116,117,115,47,49,55,56,54,48,55,51,52,55,56,55,49,49,51,53,51,53,55,54,32,119,105,108,108,32,98,101,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,46,92,110,92,110,68,101,108,101,116,101,100,32,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,32,97,115,32,108,111,110,103,32,97,115,32,116,104,101,121,32,114,101,109,97,105,110,32,97,118,97,105,108,97,98,108,101,32,108,111,110,103,32,101,110,111,117,103,104,32,116,111,32,98,101,32,99,97,112,116,117,114,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,40,126,53,32,109,105,110,117,116,101,115,41,46,92,110,92,110,67,111,109,109,117,110,105,116,121,32,114,101,112,111,115,116,115,32,119,104,105,99,104,32,97,114,101,32,110,111,116,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,110,111,116,32,99,111,117,110,116,32,116,111,119,97,114,100,32,116,104,101,32,116,111,116,97,108,46,92,110,92,110,84,104,101,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,32,102,111,114,32,116,104,105,115,32,109,97,114,107,101,116,32,105,115,32,116,104,101,32,39,80,111,115,116,32,67,111,117,110,116,101,114,39,32,102,105,103,117,114,101,32,102,111,114,32,112,111,115,116,115,32,102,111,117,110,100,32,97,116,32,104,116,116,112,115,58,47,47,120,116,114,97,99,107,101,114,46,112,111,108,121,109,97,114,107,101,116,46,99,111,109,46,32,73,110,100,105,118,105,100,117,97,108,32,112,111,115,116,115,32,99,97,110,32,98,101,32,118,105,101,119,101,100,32,98,121,32,99,108,105,99,107,105,110,103,32,92,34,69,120,112,111,114,116,32,68,97,116,97,92,34,46,32,73,102,32,116,104,101,32,116,114,97,99,107,101,114,32,100,111,101,115,32,110,111,116,32,117,112,100,97,116,101,32,99,111,114,114,101,99,116,108,121,32,105,110,32,97,99,99,111,114,100,97,110,99,101,32,119,105,116,104,32,116,104,101,32,114,117,108,101,115,44,32,88,32,105,116,115,101,108,102,32,109,97,121,32,98,101,32,117,115,101,100,32,97,115,32,97,32,115,101,99,111,110,100,97,114,121,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,46,34,44,10,32,32,34,111,117,116,99,111,109,101,115,34,58,32,91,10,32,32,32,32,34,89,101,115,34,44,10,32,32,32,32,34,78,111,34,10,32,32,93,44,10,32,32,34,112,114,105,99,101,115,34,58,32,91,10,32,32,32,32,48,46,50,53,44,10,32,32,32,32,48,46,55,53,53,10,32,32,93,44,10,32,32,34,98,101,115,116,95,98,105,100,34,58,32,48,46,50,52,44,10,32,32,34,98,101,115,116,95,97,115,107,34,58,32,48,46,50,54,44,10,32,32,34,101,110,100,95,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,49,48,84,49,54,58,48,48,58,48,48,90,34,44,10,32,32,34,115,116,97,107,101,34,58,32,49,48,48,46,48,44,10,32,32,34,115,101,99,111,110,100,115,95,108,101,102,116,34,58,32,49,49,10,125,10,61,61,61,61,32,89,69,83,32,66,79,79,75,32,61,61,61,61,10],"output_for_prompt":"{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n","exit_code":0,"command":"bench market; echo \"==== YES BOOK ====\"; bench book --outcome Yes; echo \"==== NO BOOK ====\"; bench book --outcome No","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":1253},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-cbbe907d-fedb-4201-8817-b799dff702e1-14","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n{\n  \"outcome\": \"Yes\",\n  \"bids\": [\n    {\n      \"price\": \"0.24\",\n      \"size\": \"259.77\"\n    },\n    {\n      \"price\": \"0.23\",\n      \"size\": \"445.92\"\n    },\n    {\n      \"price\": \"0.22\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.21\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.2\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.19\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.18\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.17\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.16\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.15\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.14\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.13\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.12\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.11\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.1\",\n      \"size\": \"333.33\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.26\",\n      \"size\": \"175.384616\"\n    },\n    {\n      \"price\": \"0.27\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.28\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.29\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.3\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.31\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.32\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.34\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.35\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.36\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.37\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.38\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.39\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.4\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.41\",\n      \"size\": \"388\"\n    }\n  ],\n  \"last_trade_price\": \"0.26\"\n}\n==== NO BOOK ====\n"}}],"rawOutput":{"type":"Bash","output":[123,10,32,32,34,113,117,101,115,116,105,111,110,34,58,32,34,87,105,108,108,32,69,108,111,110,32,77,117,115,107,32,112,111,115,116,32,54,53,45,56,57,32,116,119,101,101,116,115,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,34,44,10,32,32,34,100,101,115,99,114,105,112,116,105,111,110,34,58,32,34,84,104,105,115,32,109,97,114,107,101,116,32,119,105,108,108,32,114,101,115,111,108,118,101,32,97,99,99,111,114,100,105,110,103,32,116,111,32,116,104,101,32,110,117,109,98,101,114,32,111,102,32,116,105,109,101,115,32,69,108,111,110,32,77,117,115,107,32,40,64,101,108,111,110,109,117,115,107,41,44,32,112,111,115,116,115,32,111,110,32,88,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,49,50,58,48,48,32,80,77,32,69,84,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,32,49,50,58,48,48,32,80,77,32,69,84,46,92,110,92,110,70,111,114,32,116,104,101,32,112,117,114,112,111,115,101,115,32,111,102,32,116,104,105,115,32,109,97,114,107,101,116,44,32,111,110,108,121,32,109,97,105,110,32,102,101,101,100,32,112,111,115,116,115,44,32,113,117,111,116,101,32,112,111,115,116,115,32,97,110,100,32,114,101,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,46,92,110,92,110,82,101,112,108,105,101,115,32,119,105,108,108,32,78,79,84,32,99,111,117,110,116,32,116,111,119,97,114,100,115,32,116,104,101,32,116,111,116,97,108,32,45,32,104,111,119,101,118,101,114,44,32,114,101,112,108,105,101,115,32,111,110,32,116,104,101,32,109,97,105,110,32,102,101,101,100,32,115,117,99,104,32,97,115,32,104,116,116,112,115,58,47,47,120,46,99,111,109,47,101,108,111,110,109,117,115,107,47,115,116,97,116,117,115,47,49,55,56,54,48,55,51,52,55,56,55,49,49,51,53,51,53,55,54,32,119,105,108,108,32,98,101,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,46,92,110,92,110,68,101,108,101,116,101,100,32,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,32,97,115,32,108,111,110,103,32,97,115,32,116,104,101,121,32,114,101,109,97,105,110,32,97,118,97,105,108,97,98,108,101,32,108,111,110,103,32,101,110,111,117,103,104,32,116,111,32,98,101,32,99,97,112,116,117,114,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,40,126,53,32,109,105,110,117,116,101,115,41,46,92,110,92,110,67,111,109,109,117,110,105,116,121,32,114,101,112,111,115,116,115,32,119,104,105,99,104,32,97,114,101,32,110,111,116,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,110,111,116,32,99,111,117,110,116,32,116,111,119,97,114,100,32,116,104,101,32,116,111,116,97,108,46,92,110,92,110,84,104,101,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,32,102,111,114,32,116,104,105,115,32,109,97,114,107,101,116,32,105,115,32,116,104,101,32,39,80,111,115,116,32,67,111,117,110,116,101,114,39,32,102,105,103,117,114,101,32,102,111,114,32,112,111,115,116,115,32,102,111,117,110,100,32,97,116,32,104,116,116,112,115,58,47,47,120,116,114,97,99,107,101,114,46,112,111,108,121,109,97,114,107,101,116,46,99,111,109,46,32,73,110,100,105,118,105,100,117,97,108,32,112,111,115,116,115,32,99,97,110,32,98,101,32,118,105,101,119,101,100,32,98,121,32,99,108,105,99,107,105,110,103,32,92,34,69,120,112,111,114,116,32,68,97,116,97,92,34,46,32,73,102,32,116,104,101,32,116,114,97,99,107,101,114,32,100,111,101,115,32,110,111,116,32,117,112,100,97,116,101,32,99,111,114,114,101,99,116,108,121,32,105,110,32,97,99,99,111,114,100,97,110,99,101,32,119,105,116,104,32,116,104,101,32,114,117,108,101,115,44,32,88,32,105,116,115,101,108,102,32,109,97,121,32,98,101,32,117,115,101,100,32,97,115,32,97,32,115,101,99,111,110,100,97,114,121,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,46,34,44,10,32,32,34,111,117,116,99,111,109,101,115,34,58,32,91,10,32,32,32,32,34,89,101,115,34,44,10,32,32,32,32,34,78,111,34,10,32,32,93,44,10,32,32,34,112,114,105,99,101,115,34,58,32,91,10,32,32,32,32,48,46,50,53,44,10,32,32,32,32,48,46,55,53,53,10,32,32,93,44,10,32,32,34,98,101,115,116,95,98,105,100,34,58,32,48,46,50,52,44,10,32,32,34,98,101,115,116,95,97,115,107,34,58,32,48,46,50,54,44,10,32,32,34,101,110,100,95,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,49,48,84,49,54,58,48,48,58,48,48,90,34,44,10,32,32,34,115,116,97,107,101,34,58,32,49,48,48,46,48,44,10,32,32,34,115,101,99,111,110,100,115,95,108,101,102,116,34,58,32,49,49,10,125,10,61,61,61,61,32,89,69,83,32,66,79,79,75,32,61,61,61,61,10,123,10,32,32,34,111,117,116,99,111,109,101,34,58,32,34,89,101,115,34,44,10,32,32,34,98,105,100,115,34,58,32,91,10,32,32,32,32,123,10,32,32,32,32,32,32,34,112,114,105,99,101,34,58,32,34,48,46,50,52,34,44,10,32,32,32,32,32,32,34,115,105,122,101,34,58,32,34,50,53,57,46,55,55,34,10,32,32,32,32,125,44,10,32,32,32,32,123,10,32,32,32,32,32,32,34,112,114,105,99,101,34,58,32,34,48,46,50,51,34,44,10,32,32,32,32,32,32,34,115,105,122,101,34,58,32,34,52,52,53,46,57,50,34,10,32,32,32,32,125,44,10,32,32,32,32,123,10,3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 \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n{\n  \"outcome\": \"Yes\",\n  \"bids\": [\n    {\n      \"price\": \"0.24\",\n      \"size\": \"259.77\"\n    },\n    {\n      \"price\": \"0.23\",\n      \"size\": \"445.92\"\n    },\n    {\n      \"price\": \"0.22\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.21\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.2\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.19\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.18\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.17\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.16\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.15\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.14\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.13\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.12\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.11\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.1\",\n      \"size\": \"333.33\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.26\",\n      \"size\": \"175.384616\"\n    },\n    {\n      \"price\": \"0.27\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.28\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.29\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.3\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.31\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.32\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.34\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.35\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.36\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.37\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.38\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.39\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.4\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.41\",\n      \"size\": \"388\"\n    }\n  ],\n  \"last_trade_price\": \"0.26\"\n}\n==== NO BOOK ====\n","exit_code":0,"command":"bench market; echo \"==== YES BOOK ====\"; bench book --outcome Yes; echo \"==== NO BOOK ====\"; bench book --outcome No","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":3068},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-cbbe907d-fedb-4201-8817-b799dff702e1-14","status":"in_progress","content":[{"type":"content","content":{"type":"text","text":"{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n{\n  \"outcome\": \"Yes\",\n  \"bids\": [\n    {\n      \"price\": \"0.24\",\n      \"size\": \"259.77\"\n    },\n    {\n      \"price\": \"0.23\",\n      \"size\": \"445.92\"\n    },\n    {\n      \"price\": \"0.22\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.21\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.2\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.19\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.18\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.17\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.16\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.15\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.14\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.13\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.12\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.11\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.1\",\n      \"size\": \"333.33\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.26\",\n      \"size\": \"175.384616\"\n    },\n    {\n      \"price\": \"0.27\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.28\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.29\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.3\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.31\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.32\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.34\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.35\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.36\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.37\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.38\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.39\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.4\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.41\",\n      \"size\": \"388\"\n    }\n  ],\n  \"last_trade_price\": \"0.26\"\n}\n==== NO BOOK ====\n{\n  \"outcome\": \"No\",\n  \"bids\": [\n    {\n      \"price\": \"0.74\",\n      \"size\": \"560\"\n    },\n    {\n      \"price\": \"0.73\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.72\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.71\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.7\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.69\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.68\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.66\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.65\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.64\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.63\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.62\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.61\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.6\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.59\",\n      \"size\": \"388\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.77\",\n      \"size\": \"442.576105\"\n    },\n    {\n      \"price\": \"0.78\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.79\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.8\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.81\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.82\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.83\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.84\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.85\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.86\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.87\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.88\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.89\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.9\",\n      \"size\": \"333.33\"\n    },\n    {\n      \"price\": \"0.91\",\n      \"size\": \"233.01\"\n    }\n  ],\n  \"last_trade_price\": \"0.76\"\n}\n"}}],"rawOutput":{"type":"Bash","output":[123,10,32,32,34,113,117,101,115,116,105,111,110,34,58,32,34,87,105,108,108,32,69,108,111,110,32,77,117,115,107,32,112,111,115,116,32,54,53,45,56,57,32,116,119,101,101,116,115,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,63,34,44,10,32,32,34,100,101,115,99,114,105,112,116,105,111,110,34,58,32,34,84,104,105,115,32,109,97,114,107,101,116,32,119,105,108,108,32,114,101,115,111,108,118,101,32,97,99,99,111,114,100,105,110,103,32,116,111,32,116,104,101,32,110,117,109,98,101,114,32,111,102,32,116,105,109,101,115,32,69,108,111,110,32,77,117,115,107,32,40,64,101,108,111,110,109,117,115,107,41,44,32,112,111,115,116,115,32,111,110,32,88,32,102,114,111,109,32,79,99,116,111,98,101,114,32,56,32,49,50,58,48,48,32,80,77,32,69,84,32,116,111,32,79,99,116,111,98,101,114,32,49,48,44,32,50,48,50,54,32,49,50,58,48,48,32,80,77,32,69,84,46,92,110,92,110,70,111,114,32,116,104,101,32,112,117,114,112,111,115,101,115,32,111,102,32,116,104,105,115,32,109,97,114,107,101,116,44,32,111,110,108,121,32,109,97,105,110,32,102,101,101,100,32,112,111,115,116,115,44,32,113,117,111,116,101,32,112,111,115,116,115,32,97,110,100,32,114,101,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,46,92,110,92,110,82,101,112,108,105,101,115,32,119,105,108,108,32,78,79,84,32,99,111,117,110,116,32,116,111,119,97,114,100,115,32,116,104,101,32,116,111,116,97,108,32,45,32,104,111,119,101,118,101,114,44,32,114,101,112,108,105,101,115,32,111,110,32,116,104,101,32,109,97,105,110,32,102,101,101,100,32,115,117,99,104,32,97,115,32,104,116,116,112,115,58,47,47,120,46,99,111,109,47,101,108,111,110,109,117,115,107,47,115,116,97,116,117,115,47,49,55,56,54,48,55,51,52,55,56,55,49,49,51,53,51,53,55,54,32,119,105,108,108,32,98,101,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,46,92,110,92,110,68,101,108,101,116,101,100,32,112,111,115,116,115,32,119,105,108,108,32,99,111,117,110,116,32,97,115,32,108,111,110,103,32,97,115,32,116,104,101,121,32,114,101,109,97,105,110,32,97,118,97,105,108,97,98,108,101,32,108,111,110,103,32,101,110,111,117,103,104,32,116,111,32,98,101,32,99,97,112,116,117,114,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,40,126,53,32,109,105,110,117,116,101,115,41,46,92,110,92,110,67,111,109,109,117,110,105,116,121,32,114,101,112,111,115,116,115,32,119,104,105,99,104,32,97,114,101,32,110,111,116,32,99,111,117,110,116,101,100,32,98,121,32,116,104,101,32,116,114,97,99,107,101,114,32,110,111,116,32,99,111,117,110,116,32,116,111,119,97,114,100,32,116,104,101,32,116,111,116,97,108,46,92,110,92,110,84,104,101,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,32,102,111,114,32,116,104,105,115,32,109,97,114,107,101,116,32,105,115,32,116,104,101,32,39,80,111,115,116,32,67,111,117,110,116,101,114,39,32,102,105,103,117,114,101,32,102,111,114,32,112,111,115,116,115,32,102,111,117,110,100,32,97,116,32,104,116,116,112,115,58,47,47,120,116,114,97,99,107,101,114,46,112,111,108,121,109,97,114,107,101,116,46,99,111,109,46,32,73,110,100,105,118,105,100,117,97,108,32,112,111,115,116,115,32,99,97,110,32,98,101,32,118,105,101,119,101,100,32,98,121,32,99,108,105,99,107,105,110,103,32,92,34,69,120,112,111,114,116,32,68,97,116,97,92,34,46,32,73,102,32,116,104,101,32,116,114,97,99,107,101,114,32,100,111,101,115,32,110,111,116,32,117,112,100,97,116,101,32,99,111,114,114,101,99,116,108,121,32,105,110,32,97,99,99,111,114,100,97,110,99,101,32,119,105,116,104,32,116,104,101,32,114,117,108,101,115,44,32,88,32,105,116,115,101,108,102,32,109,97,121,32,98,101,32,117,115,101,100,32,97,115,32,97,32,115,101,99,111,110,100,97,114,121,32,114,101,115,111,108,117,116,105,111,110,32,115,111,117,114,99,101,46,34,44,10,32,32,34,111,117,116,99,111,109,101,115,34,58,32,91,10,32,32,32,32,34,89,101,115,34,44,10,32,32,32,32,34,78,111,34,10,32,32,93,44,10,32,32,34,112,114,105,99,101,115,34,58,32,91,10,32,32,32,32,48,46,50,53,44,10,32,32,32,32,48,46,55,53,53,10,32,32,93,44,10,32,32,34,98,101,115,116,95,98,105,100,34,58,32,48,46,50,52,44,10,32,32,34,98,101,115,116,95,97,115,107,34,58,32,48,46,50,54,44,10,32,32,34,101,110,100,95,100,97,116,101,34,58,32,34,50,48,50,54,45,49,48,45,49,48,84,49,54,58,48,48,58,48,48,90,34,44,10,32,32,34,115,116,97,107,101,34,58,32,49,48,48,46,48,44,10,32,32,34,115,101,99,111,110,100,115,95,108,101,102,116,34,58,32,49,49,10,125,10,61,61,61,61,32,89,69,83,32,66,79,79,75,32,61,61,61,61,10,123,10,32,32,34,111,117,116,99,111,109,101,34,58,32,34,89,101,115,34,44,10,32,32,34,98,105,100,115,34,58,32,91,10,32,32,32,32,123,10,32,32,32,32,32,32,34,112,114,105,99,101,34,58,32,34,48,46,50,52,34,44,10,32,32,32,32,32,32,34,115,105,122,101,34,58,32,34,50,53,57,46,55,55,34,10,32,32,32,32,125,44,10,32,32,32,32,123,10,32,32,32,32,32,32,34,112,114,105,99,101,34,58,32,34,48,46,50,51,34,44,10,32,32,32,32,32,32,34,115,105,122,101,34,58,32,34,52,52,53,46,57,50,34,10,32,32,32,32,125,44,10,32,32,32,32,1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 \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n{\n  \"outcome\": \"Yes\",\n  \"bids\": [\n    {\n      \"price\": \"0.24\",\n      \"size\": \"259.77\"\n    },\n    {\n      \"price\": \"0.23\",\n      \"size\": \"445.92\"\n    },\n    {\n      \"price\": \"0.22\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.21\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.2\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.19\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.18\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.17\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.16\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.15\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.14\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.13\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.12\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.11\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.1\",\n      \"size\": \"333.33\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.26\",\n      \"size\": \"175.384616\"\n    },\n    {\n      \"price\": \"0.27\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.28\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.29\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.3\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.31\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.32\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.34\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.35\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.36\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.37\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.38\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.39\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.4\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.41\",\n      \"size\": \"388\"\n    }\n  ],\n  \"last_trade_price\": \"0.26\"\n}\n==== NO BOOK ====\n{\n  \"outcome\": \"No\",\n  \"bids\": [\n    {\n      \"price\": \"0.74\",\n      \"size\": \"560\"\n    },\n    {\n      \"price\": \"0.73\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.72\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.71\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.7\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.69\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.68\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.66\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.65\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.64\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.63\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.62\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.61\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.6\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.59\",\n      \"size\": \"388\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.77\",\n      \"size\": \"442.576105\"\n    },\n    {\n      \"price\": \"0.78\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.79\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.8\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.81\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.82\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.83\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.84\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.85\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.86\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.87\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.88\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.89\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.9\",\n      \"size\": \"333.33\"\n    },\n    {\n      \"price\": \"0.91\",\n      \"size\": \"233.01\"\n    }\n  ],\n  \"last_trade_price\": \"0.76\"\n}\n","exit_code":0,"command":"bench market; echo \"==== YES BOOK ====\"; bench book --outcome Yes; echo \"==== NO BOOK ====\"; bench book --outcome No","truncated":false,"signal":null,"timed_out":false,"description":null,"current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"","total_bytes":4861},"locations":[]}
{"type":"tool_call_update","toolCallId":"call-cbbe907d-fedb-4201-8817-b799dff702e1-14","status":"completed","content":[{"type":"content","content":{"type":"text","text":"{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n{\n  \"outcome\": \"Yes\",\n  \"bids\": [\n    {\n      \"price\": \"0.24\",\n      \"size\": \"259.77\"\n    },\n    {\n      \"price\": \"0.23\",\n      \"size\": \"445.92\"\n    },\n    {\n      \"price\": \"0.22\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.21\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.2\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.19\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.18\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.17\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.16\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.15\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.14\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.13\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.12\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.11\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.1\",\n      \"size\": \"333.33\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.26\",\n      \"size\": \"175.384616\"\n    },\n    {\n      \"price\": \"0.27\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.28\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.29\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.3\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.31\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.32\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.34\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.35\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.36\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.37\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.38\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.39\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.4\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.41\",\n      \"size\": \"388\"\n    }\n  ],\n  \"last_trade_price\": \"0.26\"\n}\n==== NO BOOK ====\n{\n  \"outcome\": \"No\",\n  \"bids\": [\n    {\n      \"price\": \"0.74\",\n      \"size\": \"560\"\n    },\n    {\n      \"price\": \"0.73\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.72\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.71\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.7\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.69\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.68\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.66\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.65\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.64\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.63\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.62\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.61\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.6\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.59\",\n      \"size\": \"388\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.77\",\n      \"size\": \"442.576105\"\n    },\n    {\n      \"price\": \"0.78\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.79\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.8\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.81\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.82\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.83\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.84\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.85\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.86\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.87\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.88\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.89\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.9\",\n      \"size\": \"333.33\"\n    },\n    {\n      \"price\": \"0.91\",\n      \"size\": \"233.01\"\n    }\n  ],\n  \"last_trade_price\": 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0\n{\n  \"question\": \"Will Elon Musk post 65-89 tweets from October 8 to October 10, 2026?\",\n  \"description\": \"This market will resolve according to the number of times Elon Musk (@elonmusk), posts on X from October 8 12:00 PM ET to October 10, 2026 12:00 PM ET.\\n\\nFor the purposes of this market, only main feed posts, quote posts and reposts will count.\\n\\nReplies will NOT count towards the total - however, replies on the main feed such as https://x.com/elonmusk/status/1786073478711353576 will be counted by the tracker.\\n\\nDeleted posts will count as long as they remain available long enough to be captured by the tracker (~5 minutes).\\n\\nCommunity reposts which are not counted by the tracker not count toward the total.\\n\\nThe resolution source for this market is the 'Post Counter' figure for posts found at https://xtracker.polymarket.com. Individual posts can be viewed by clicking \\\"Export Data\\\". If the tracker does not update correctly in accordance with the rules, X itself may be used as a secondary resolution source.\",\n  \"outcomes\": [\n    \"Yes\",\n    \"No\"\n  ],\n  \"prices\": [\n    0.25,\n    0.755\n  ],\n  \"best_bid\": 0.24,\n  \"best_ask\": 0.26,\n  \"end_date\": \"2026-10-10T16:00:00Z\",\n  \"stake\": 100.0,\n  \"seconds_left\": 11\n}\n==== YES BOOK ====\n{\n  \"outcome\": \"Yes\",\n  \"bids\": [\n    {\n      \"price\": \"0.24\",\n      \"size\": \"259.77\"\n    },\n    {\n      \"price\": \"0.23\",\n      \"size\": \"445.92\"\n    },\n    {\n      \"price\": \"0.22\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.21\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.2\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.19\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.18\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.17\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.16\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.15\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.14\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.13\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.12\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.11\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.1\",\n      \"size\": \"333.33\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.26\",\n      \"size\": \"175.384616\"\n    },\n    {\n      \"price\": \"0.27\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.28\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.29\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.3\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.31\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.32\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.34\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.35\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.36\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.37\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.38\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.39\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.4\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.41\",\n      \"size\": \"388\"\n    }\n  ],\n  \"last_trade_price\": \"0.26\"\n}\n==== NO BOOK ====\n{\n  \"outcome\": \"No\",\n  \"bids\": [\n    {\n      \"price\": \"0.74\",\n      \"size\": \"560\"\n    },\n    {\n      \"price\": \"0.73\",\n      \"size\": \"865\"\n    },\n    {\n      \"price\": \"0.72\",\n      \"size\": \"400\"\n    },\n    {\n      \"price\": \"0.71\",\n      \"size\": \"365.87\"\n    },\n    {\n      \"price\": \"0.7\",\n      \"size\": \"715\"\n    },\n    {\n      \"price\": \"0.69\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.68\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.66\",\n      \"size\": \"50\"\n    },\n    {\n      \"price\": \"0.65\",\n      \"size\": \"142\"\n    },\n    {\n      \"price\": \"0.64\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.63\",\n      \"size\": \"260\"\n    },\n    {\n      \"price\": \"0.62\",\n      \"size\": \"265.13\"\n    },\n    {\n      \"price\": \"0.61\",\n      \"size\": \"696.05\"\n    },\n    {\n      \"price\": \"0.6\",\n      \"size\": \"1236\"\n    },\n    {\n      \"price\": \"0.59\",\n      \"size\": \"388\"\n    }\n  ],\n  \"asks\": [\n    {\n      \"price\": \"0.77\",\n      \"size\": \"442.576105\"\n    },\n    {\n      \"price\": \"0.78\",\n      \"size\": \"205\"\n    },\n    {\n      \"price\": \"0.79\",\n      \"size\": \"85.44\"\n    },\n    {\n      \"price\": \"0.8\",\n      \"size\": \"379.75\"\n    },\n    {\n      \"price\": \"0.81\",\n      \"size\": \"200\"\n    },\n    {\n      \"price\": \"0.82\",\n      \"size\": \"28.9\"\n    },\n    {\n      \"price\": \"0.83\",\n      \"size\": \"45.08\"\n    },\n    {\n      \"price\": \"0.84\",\n      \"size\": \"8\"\n    },\n    {\n      \"price\": \"0.85\",\n      \"size\": \"17\"\n    },\n    {\n      \"price\": \"0.86\",\n      \"size\": \"16.37\"\n    },\n    {\n      \"price\": \"0.87\",\n      \"size\": \"217.9\"\n    },\n    {\n      \"price\": \"0.88\",\n      \"size\": \"10\"\n    },\n    {\n      \"price\": \"0.89\",\n      \"size\": \"227.26\"\n    },\n    {\n      \"price\": \"0.9\",\n      \"size\": \"333.33\"\n    },\n    {\n      \"price\": \"0.91\",\n      \"size\": \"233.01\"\n    }\n  ],\n  \"last_trade_price\": \"0.76\"\n}\n","exit_code":0,"command":"bench market; echo \"==== YES BOOK ====\"; bench book --outcome Yes; echo \"==== NO BOOK ====\"; bench book --outcome No","truncated":false,"signal":null,"timed_out":false,"description":"Check time left and both order books","current_dir":"/tmp/apb-5-grok-ifnhxzqg","output_file":"/tmp/apbh-grok-l8gzcvq0/.grok/sessions/%2Ftmp%2Fapb-5-grok-ifnhxzqg/01a12145-bf2d-7351-aaae-da2a4311684a/terminal/call-cbbe907d-fedb-4201-8817-b799dff702e1-14.log","total_bytes":4861},"locations":[]}
{"type":"thought","data":"Only 11 seconds remain."}
{"type":"thought","data":" I must place the bet"}
{"type":"thought","data":" immediately."}
{"type":"thought","data":"\n\nThe No ask is 0.77,"}
{"type":"thought","data":" not 0.75. Buying No"}
{"type":"thought","data":" at that price yields"}
{"type":"thought","data":" only about a 1.3% expected"}
{"type":"thought","data":" value if the probability"}
{"type":"thought","data":" is roughly 0.78. The"}
{"type":"thought","data":" Yes side is even worse."}
{"type":"thought","data":" I am weighing whether"}
{"type":"thought","data":" to take this marginal"}
{"type":"thought","data":" edge or pass."}
{"type":"thought","data":"\n\nThe unweighted probability"}
{"type":"thought","data":" of 29% makes Yes the"}
{"type":"thought","data":" clear +EV side at 0.26."}
{"type":"thought","data":" The recent-weighted"}
{"type":"thought","data":" 22% makes No the only"}
{"type":"thought","data":" viable bet. I must "}
{"type":"thought","data":"choose which estimate"}
{"type":"thought","data":" to trust."}