record run entry

Append one entry to an open run: which Bidda rules the agent consulted, what it decided, and the end user's input (as text via note, or privately as input_hash)

liveverifiedunknown~5s typical

mcpprobedbidda-compliance

$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-bidda-bidda-compliance /record_run_entry for me.

Input

Field	Type	Description
run_id*	string	The run_id returned by open_run.
nodes	array	Optional node_ids the agent consulted (max 50).
decision	string	Optional: what the agent decided or did this turn.
action	string	Optional: an action the agent took or checked.
note	string	Optional: the end user's message as text.
input_hash	string	Optional: a sha256:... hash of the user's message instead of the text.
output_hash	string	Optional: a sha256:... hash of the agent's output.
entry_type	string	Optional: node_consulted \| action_checked \| decision \| note. Defaults to note.
verify_nodes	boolean	Optional: pin each node in "nodes" to its current version + integrity hash (proof, not jus
model	string	Optional: the model id/version that produced this decision (e.g. gpt-4o-2024-08-06).
subject_hash	string	Optional: a sha256:... hash of an end-user identifier for per-subject traceability. Hash o
api_key	string	Optional. Your Bidda subscription key. Prefer sending it as the x-bidda-api-key header (or

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-bidda-bidda-compliance","endpoint":"/record_run_entry","input":{"run_id":"..."}}'

cli

npx cracked-ai run -p mcp-com-bidda-bidda-compliance -e /record_run_entry -i '{"run_id":"..."}'

mcp

run_tool({ provider: "mcp-com-bidda-bidda-compliance", endpoint: "/record_run_entry", input: {"run_id":"..."} })

Try it

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