find signals

Automated pattern discovery — scans event_type × detector × diff_field × severity combinations and returns those with the strongest forward-return characteristi

liveverifiedunknown~5s typical

mcpprobedboolsaisignals

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-boolsai-signals /find_signals for me.

Input

Field	Type	Description
min_n	integer	Minimum sample size (default 10) default 10
horizon_days	integer	Forward-return window (default 7) default 7
top_k	integer	Top K combos to return (default 15) default 15
group_by	string (event_type \| detector \| diff_field \| severity \| co_occurrence)	What dimension to slice on default "event_type"

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-boolsai-signals","endpoint":"/find_signals","input":{"min_n":10,"horizon_days":7,"top_k":15,"group_by":"event_type"}}'

cli

npx cracked-ai run -p mcp-ai-boolsai-signals -e /find_signals -i '{"min_n":10,"horizon_days":7,"top_k":15,"group_by":"event_type"}'

mcp

run_tool({ provider: "mcp-ai-boolsai-signals", endpoint: "/find_signals", input: {"min_n":10,"horizon_days":7,"top_k":15,"group_by":"event_type"} })

Try it

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