GroundTruth Field Evidence

Verified location-bound retail evidence for AI agents, delivered by human field workers.

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Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
81%
Calidad de los nombres
85%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~786Tokens (definiciones de herramientas)
~1.6 KBTamaño de respuesta típico
Impacto moderado en la atención (0.61% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "groundtruth": {
      "url": "https://groundtruth-oracle.vercel.app/api/mcp"
    }
  }
}

Puntos de conexión remotos

https://groundtruth-oracle.vercel.app/api/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (4)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢ground_truth_info

Get info about the GroundTruth ASP — what it does, pricing, and how to call it

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡human_do(intent, proof_type, instructions, target_location, service_tier, ...)

Create a task for a human oracle to complete in the real world. Requires x402 payment. Returns a task_id to poll with task_status.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "intent": {
      "type": "string",
      "minLength": 1,
      "maxLength": 500,
      "description": "What you want the human to do"
    },
    "proof_type": {
      "type": "string",
      "enum": [
        "photo",
        "form"
      ],
      "description": "Type of proof"
    },
    "instructions": {
      "type": "string",
      "minLength": 1,
      "maxLength": 1000,
      "description": "Detailed instructions for the human"
    },
    "target_location": {
      "description": "Optional target location and allowed capture radius",
      "type": "object",
      "properties": {
        "label": {
          "type": "string",
          "minLength": 1,
          "maxLength": 200,
          "description": "Human-readable store or site name"
        },
        "latitude": {
          "type": "number",
          "minimum": -90,
          "maximum": 90
        },
        "longitude": {
          "type": "number",
          "minimum": -180,
          "maximum": 180
        },
        "radius_meters": {
          "default": 150,
          "type": "integer",
          "minimum": 25,
          "maximum": 5000
        }
      },
      "required": [
        "label",
        "latitude",
        "longitude"
      ]
    },
    "service_tier": {
      "default": "integration_test",
      "type": "string",
      "enum": [
        "integration_test",
        "evaluation_test",
        "quick_check",
        "photo_visit",
        "urgent_visit",
        "complex_visit"
      ]
    },
    "timeout_seconds": {
      "default": 3600,
      "type": "integer",
      "minimum": 60,
      "maximum": 86400
    }
  },
  "required": [
    "intent",
    "proof_type",
    "instructions"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢task_status(task_id)

Check the status and result of a GroundTruth task by its task_id

Esquema de entrada

{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "The task ID returned by human_do"
    }
  },
  "required": [
    "task_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪review_task(task_id, decision, reason)

Review a submitted proof and accept or reject it. Accept releases the on-chain payout to the human oracle; reject fails the task with no payout. Call this after task_status shows the proof.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "The task ID to review"
    },
    "decision": {
      "type": "string",
      "enum": [
        "accept",
        "reject"
      ],
      "description": "accept = pay the oracle; reject = no payout"
    },
    "reason": {
      "description": "Optional note explaining the decision",
      "type": "string",
      "maxLength": 300
    }
  },
  "required": [
    "task_id",
    "decision"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada4 herramientas