find relevant erwaegung

Find which Erwägung paragraph(s) match a legal claim. Server-side FTS5+BM25 over per-paragraph text; returns top-k with confidence labels (high/medium/low) and

liveverifiedunknown~5s typical

mcpprobedopencaselaw—swiss

$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-ch-opencaselaw-swiss-caselaw /find_relevant_erwaegung for me.

Input

Field	Type	Description
decision_id*	string	decision_id, BGE reference, or docket number. Must be a federal decision (structured Erwäg
claim*	string	Free-text legal claim or proposition the user wants to verify against the decision. The mo
top_k	integer	Number of top matches to return (default 3, max 10). default 3

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-ch-opencaselaw-swiss-caselaw","endpoint":"/find_relevant_erwaegung","input":{"decision_id":"...","claim":"...","top_k":3}}'

cli

npx cracked-ai run -p mcp-ch-opencaselaw-swiss-caselaw -e /find_relevant_erwaegung -i '{"decision_id":"...","claim":"...","top_k":3}'

mcp

run_tool({ provider: "mcp-ch-opencaselaw-swiss-caselaw", endpoint: "/find_relevant_erwaegung", input: {"decision_id":"...","claim":"...","top_k":3} })

Try it

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