ai.agenttrust/mcp
audit_task
Verify whether completed work meets a task specification using AI. Before calling, send 0.1 XRP to rmcSrkpZ2i2kuvtCPeTVetee9SixP4djR on XRPL Mainnet. Each fee_hash is single-use (anti-replay protection). Returns: status (approved/rejected), verdict (PASS/FAIL), score (0-100), summary, details, criteria_met, criteria_failed, model_used.
Remote xrpl/agent-trust
Other tools also called audit_task?
See providers with this name
Input Schema
{
"type": "object",
"properties": {
"task": {
"type": "string",
"description": "The task requirements or specification the worker must meet."
},
"work": {
"type": "string",
"description": "The work, output, or proof of completion to evaluate against the specification."
},
"fee_hash": {
"type": "string",
"description": "64-character hex transaction hash of the 0.1 XRP payment to rmcSrkpZ2i2kuvtCPeTVetee9SixP4djR. Each hash is single-use."
},
"task_category": {
"type": "string",
"default": "default",
"description": "Evaluation rubric. One of: default, creative, code, data, data_analysis, bug_bounty, legal, supply_chain."
},
"require_consensus": {
"type": "boolean",
"default": false,
"description": "When True, two AI models must independently agree before returning PASS. Recommended for high-stakes tasks."
}
}
}