clips status

Check a generate_clips render job by its job_id. Returns the status (processing, done, or error). When done, returns the finished clip URLs, the model used, and

liveverifiedunknown~5s typical

mcpprobedrecao

$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-app-recao-recao-mcp /clips_status for me.

Input

Field	Type	Description
job_id*	string	The job_id returned by generate_clips with confirm=true

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-app-recao-recao-mcp","endpoint":"/clips_status","input":{"job_id":"..."}}'

cli

npx cracked-ai run -p mcp-app-recao-recao-mcp -e /clips_status -i '{"job_id":"..."}'

mcp

run_tool({ provider: "mcp-app-recao-recao-mcp", endpoint: "/clips_status", input: {"job_id":"..."} })

Try it

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