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Card snapshot

groundtruth-oracle.vercel.app · 2026-09-30 05:34:43 UTC · 89542f3e8c3a84f3fc7f6670d07fdb86274d074304b9903db9285ca450de4a70

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "GroundTruth Field Evidence Agent",
  "description": "Dispatches location-bound retail verification missions to human field workers and returns structured observations, evidence receipts, and settlement status to AI agents.",
  "supportedInterfaces": [
    {
      "url": "https://groundtruth-oracle.vercel.app/api/a2a",
      "protocolBinding": "JSONRPC",
      "protocolVersion": "1.0"
    }
  ],
  "provider": {
    "organization": "GroundTruth",
    "url": "https://groundtruth-oracle.vercel.app"
  },
  "version": "1.0.0",
  "documentationUrl": "https://groundtruth-oracle.vercel.app/developers",
  "iconUrl": "https://groundtruth-oracle.vercel.app/icon-512.png",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "extendedAgentCard": false
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "text/plain",
    "application/json"
  ],
  "skills": [
    {
      "id": "retail-field-verification",
      "name": "Retail field verification",
      "description": "Create paid, location-bound missions for shelf availability, price, promotion, and display verification.",
      "tags": [
        "retail",
        "field evidence",
        "human verification",
        "shelf availability",
        "price intelligence"
      ],
      "examples": [
        "Verify whether SKU 123 is in stock at this store and return photographic evidence."
      ]
    },
    {
      "id": "evidence-status-and-receipts",
      "name": "Evidence status and receipts",
      "description": "Explain the verification workflow and direct agents to machine-readable task status and evidence receipts.",
      "tags": [
        "evidence",
        "receipts",
        "audit trail",
        "task status"
      ],
      "examples": [
        "How can my agent request and retrieve verified real-world evidence?"
      ]
    },
    {
      "id": "product-evaluation",
      "name": "GroundTruth product evaluation",
      "description": "Provide an evaluation kit so an agent can inspect the live demo, diligence material, OpenAPI document, and MCP endpoint.",
      "tags": [
        "evaluation",
        "agent review",
        "MCP",
        "integration"
      ],
      "examples": [
        "Give me the GroundTruth evaluation kit and integration endpoints."
      ]
    }
  ]
}