GroundTruth Field Evidence
Verified location-bound retail evidence for AI agents, delivered by human field workers.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"groundtruth": {
"url": "https://groundtruth-oracle.vercel.app/api/mcp"
}
}
}Remote-Endpunkte
https://groundtruth-oracle.vercel.app/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (4)
🟢ground_truth_info
Get info about the GroundTruth ASP — what it does, pricing, and how to call it
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟡human_do(intent, proof_type, instructions, target_location, service_tier, ...)
Create a task for a human oracle to complete in the real world. Requires x402 payment. Returns a task_id to poll with task_status.
Eingabe-Schema
{
"type": "object",
"properties": {
"intent": {
"type": "string",
"minLength": 1,
"maxLength": 500,
"description": "What you want the human to do"
},
"proof_type": {
"type": "string",
"enum": [
"photo",
"form"
],
"description": "Type of proof"
},
"instructions": {
"type": "string",
"minLength": 1,
"maxLength": 1000,
"description": "Detailed instructions for the human"
},
"target_location": {
"description": "Optional target location and allowed capture radius",
"type": "object",
"properties": {
"label": {
"type": "string",
"minLength": 1,
"maxLength": 200,
"description": "Human-readable store or site name"
},
"latitude": {
"type": "number",
"minimum": -90,
"maximum": 90
},
"longitude": {
"type": "number",
"minimum": -180,
"maximum": 180
},
"radius_meters": {
"default": 150,
"type": "integer",
"minimum": 25,
"maximum": 5000
}
},
"required": [
"label",
"latitude",
"longitude"
]
},
"service_tier": {
"default": "integration_test",
"type": "string",
"enum": [
"integration_test",
"evaluation_test",
"quick_check",
"photo_visit",
"urgent_visit",
"complex_visit"
]
},
"timeout_seconds": {
"default": 3600,
"type": "integer",
"minimum": 60,
"maximum": 86400
}
},
"required": [
"intent",
"proof_type",
"instructions"
],
"$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
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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"
}Community
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