Score position drift

Score how a single position's regime fit has drifted since entry. Returns regime_at_entry, regime_now, fit_score_at_entry, fit_score_now, drift_score (now - ent

liveverifiedunknown~5s typical

mcpprobedjawz

$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-jawz-jawz /score_position_drift for me.

Input

Field	Type	Description
symbol*	string	Ticker or instrument (e.g. AAPL, BTC, TLT)
asset_class*	string	Asset class for fit-score lookup, drawn from the holding's actual exposure (Chapter 2 Mode
symbol_type	string (crypto \| stock \| etf)	Price-API hint. Inferred from asset_class if omitted.
entry_date*	string	ISO date (YYYY-MM-DD) when the position was opened
thesis	string	Original thesis text. Echoed back word-for-word in review questions.
conviction	number	User-supplied conviction 1–10. Drives conviction_gap if a meaningful gap exists vs the reg

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-jawz-jawz","endpoint":"/score_position_drift","input":{"symbol":"...","asset_class":"...","entry_date":"..."}}'

cli

npx cracked-ai run -p mcp-ai-jawz-jawz -e /score_position_drift -i '{"symbol":"...","asset_class":"...","entry_date":"..."}'

mcp

run_tool({ provider: "mcp-ai-jawz-jawz", endpoint: "/score_position_drift", input: {"symbol":"...","asset_class":"...","entry_date":"..."} })

Try it

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