Credit venues covered

Which credit venues does this dataset cover, and what is known about each? Returns the registry rows matching the filters you supply. One row per venue across

liveverifiedunknown~5s typical

mcpprobedmcp

$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-com-bitcoincreditstack-mcp /list_venues for me.

Input

Field	Type	Description
venue_type	string	Restrict to one class, e.g. 'onchain_pooled', 'cefi_desk', 'corporate_debt', 'auction'.
status	string	Restrict by registry status: 'live', 'ingesting', 'registered', 'unresolved', 'defunct'.
chain_id	integer	Restrict to venues on one EVM chain id.
complete_attributes_only	boolean	Only venues whose criteria cells are fully researched (8 of 8). Default false.
limit	integer	Cap the rows returned. Default 50. The response always states the unfiltered total.

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-com-bitcoincreditstack-mcp","endpoint":"/list_venues","input":{}}'

cli

npx cracked-ai run -p mcp-com-bitcoincreditstack-mcp -e /list_venues -i '{}'

mcp

run_tool({ provider: "mcp-com-bitcoincreditstack-mcp", endpoint: "/list_venues", input: {} })

Try it

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