Onboard a new data source, step 2: run analysis after uploading

Call after uploading the file(s) returned by onboard_data_source — kicks off AI analysis and waits until the spec reaches "ready" or "failed". If it returns bef

liveunknown~5s typical

mcpmcp-server

$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-dpf-it-mcp-server /finish_data_source_onboarding for me.

Input

Field	Type	Description
workspaceId	string	Workspace to act on. Defaults to your only workspace if you have exactly one.
specId*	string	specId returned by onboard_data_source.
specName*	string	Name of the data spec being onboarded.
loadSampleData	boolean	Whether to load the sample file and trigger the data-load job once analysis finishes (defa

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-dpf-it-mcp-server","endpoint":"/finish_data_source_onboarding","input":{"specId":"...","specName":"..."}}'

cli

npx cracked-ai run -p mcp-com-dpf-it-mcp-server -e /finish_data_source_onboarding -i '{"specId":"...","specName":"..."}'

mcp

run_tool({ provider: "mcp-com-dpf-it-mcp-server", endpoint: "/finish_data_source_onboarding", input: {"specId":"...","specName":"..."} })

Try it

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