govern inference

Quality-govern an in-progress AI generation step BEFORE its output is used (complements validate, which checks finished documents). Returns an action -

liveverifiedunknown~5s typical

mcpprobedgovernance-platform

$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-geodesiclabs-governance-platform /govern_inference for me.

Input

Field	Type	Description
api_key*	string	GeodesicAI API key (gai_...)
task_type*	string (generative_text \| retrieval \| generic)	Kind of generation step being governed
payload*	object	Task-type payload: generative_text {text,...}; retrieval {query,candidates}; generic {feat
inference_id*	string	Caller-chosen ID grouping the steps of one generation
constraints	object	Optional governance constraint config object
source	string	Free-form caller label recorded for audit default "mcp"
step_index	integer	Step number within this generation (0-based) default 0

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-geodesiclabs-governance-platform","endpoint":"/govern_inference","input":{"api_key":"...","task_type":"generative_text","payload":{},"inference_id":"...","source":"mcp","step_index":0}}'

cli

npx cracked-ai run -p mcp-ai-geodesiclabs-governance-platform -e /govern_inference -i '{"api_key":"...","task_type":"generative_text","payload":{},"inference_id":"...","source":"mcp","step_index":0}'

mcp

run_tool({ provider: "mcp-ai-geodesiclabs-governance-platform", endpoint: "/govern_inference", input: {"api_key":"...","task_type":"generative_text","payload":{},"inference_id":"...","source":"mcp","step_index":0} })

Try it

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