GroundTruth Field Evidence Agent
groundtruth-oracle.vercel.app
· GroundTruth
Dispatches location-bound retail verification missions to human field workers and returns structured observations, evidence receipts, and settlement status to AI agents.
groundtruth-oracle.vercel.app via a single DNS TXT record to add the
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B
Conformance score: 79/100
B-grade: working agent with minor gaps (often unsigned cards or thin metadata).
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Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
10 snapshots Every change toagent-card.json
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| 2026-10-05 05:02:01 current | 89542f3e8c3a… |
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| 2026-10-03 19:05:55 | 89542f3e8c3a… |
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| 2026-10-03 12:33:14 | 89542f3e8c3a… |
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| 2026-10-03 06:12:19 | 89542f3e8c3a… |
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| 2026-10-01 07:57:58 | 89542f3e8c3a… |
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| 2026-09-30 05:34:43 | 89542f3e8c3a… |
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| 2026-09-29 23:09:08 | 89542f3e8c3a… |
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Endpoints
| Agent card | https://groundtruth-oracle.vercel.app/.well-known/agent-card.json |
| Provider | https://groundtruth-oracle.vercel.app |
| Docs | https://groundtruth-oracle.vercel.app/developers |
Skills · 3 declared · mapped to canonical taxonomy
Create paid, location-bound missions for shelf availability, price, promotion, and display verification.
Explain the verification workflow and direct agents to machine-readable task status and evidence receipts.
Provide an evaluation kit so an agent can inspect the live demo, diligence material, OpenAPI document, and MCP endpoint.
Health · last 30 probes
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[](https://agenstry.com/agents/groundtruth-oracle.vercel.app) [](https://agenstry.com/agents/groundtruth-oracle.vercel.app) [](https://agenstry.com/agents/groundtruth-oracle.vercel.app) [](https://agenstry.com/agents/groundtruth-oracle.vercel.app)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"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."
]
}
]
}