validate tool output

Validate a DataNexus tool response for data quality issues using two-layer validation: deterministic rules first, then AI review for ambiguous cases. Read-only.

liveverifiedunknown~5s typical

mcpprobeddatanexusmcp

$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-datanexusmcp-mcp-server /validate_tool_output for me.

Input

Field	Type	Description
tool_id*	string	DataNexus tool identifier, e.g. T04, T10, T22 — found in the tool_id field of any response
query_hash*	string	Hash from the response being validated — found in the query_hash field of any response. En
response_json*	string	The full tool response, serialised as a JSON string, to validate for data quality issues.

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-datanexusmcp-mcp-server","endpoint":"/validate_tool_output","input":{"tool_id":"...","query_hash":"...","response_json":"..."}}'

cli

npx cracked-ai run -p mcp-com-datanexusmcp-mcp-server -e /validate_tool_output -i '{"tool_id":"...","query_hash":"...","response_json":"..."}'

mcp

run_tool({ provider: "mcp-com-datanexusmcp-mcp-server", endpoint: "/validate_tool_output", input: {"tool_id":"...","query_hash":"...","response_json":"..."} })

Try it

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