Agent Economic Trust

Outcome-calibrated economic trust gate for autonomous agents.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
73%
Qualität der Benennung
89%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,131Tokens (Tool-Definitionen)
~667 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.88% von 128k Kontext)

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": {
    "agent-economic-trust": {
      "url": "https://agent-economic-passport.caoviedoc.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://agent-economic-passport.caoviedoc.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (9)

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🟢agent_economic_history(agent_id)

Read the economic history observed by this registry for a specific autonomous agent. Use when you need transaction counts, outcomes, counterparties, value, or current observed risk before deciding what to do.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string",
      "description": "Agent identifier used in Economic Passports."
    }
  },
  "required": [
    "agent_id"
  ],
  "additionalProperties": false
}
🟡create_trust_monitor(owner_agent_id, subject_agent_id, score_drop_threshold)

Create continuous monitoring for one agent counterparty. Use when an agent wants recurring alerts if the counterparty score, risk band, or decision changes materially. Free during beta; charging is disabled.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "owner_agent_id": {
      "type": "string"
    },
    "subject_agent_id": {
      "type": "string"
    },
    "score_drop_threshold": {
      "type": "number"
    }
  },
  "required": [
    "subject_agent_id"
  ],
  "additionalProperties": false
}
🟡issue_economic_passport(principal_id, agent_id, counterparty_agent_id, amount, currency, ...)

Create an append-only Economic Passport recording the parties and economic context of one agent-to-agent transaction. Use after a transaction is agreed or initiated so its eventual outcome can become evidence.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "principal_id": {
      "type": "string"
    },
    "agent_id": {
      "type": "string"
    },
    "counterparty_agent_id": {
      "type": "string"
    },
    "amount": {
      "type": "number"
    },
    "currency": {
      "type": "string"
    },
    "trust_gate_id": {
      "type": "string",
      "description": "Optional prior Trust Gate decision to link to this transaction."
    }
  },
  "required": [
    "principal_id",
    "agent_id",
    "counterparty_agent_id"
  ],
  "additionalProperties": true
}
🟢learning_metrics

Read model calibration, labeled outcomes, false-ALLOW rate, regression results, discovery metrics, monitors, and verified revenue. Use to audit whether the trust model is improving safely.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢pricing_status

Read the current pricing and x402 activation state. Use to determine whether a Trust Check or Monitor is free or paid before invoking paid functionality.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🔴record_outcome(passport_id, outcome, validator_id, evidence_hash, notes)

Append the final observed outcome to an Economic Passport. Use only when the transaction result is known. Outcomes are immutable evidence and feed calibration of prior Trust Gate decisions.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "passport_id": {
      "type": "string"
    },
    "outcome": {
      "type": "string",
      "enum": [
        "ACCEPTED",
        "FAILED",
        "DISPUTED",
        "REFUNDED",
        "CANCELLED"
      ]
    },
    "validator_id": {
      "type": "string"
    },
    "evidence_hash": {
      "type": "string"
    },
    "notes": {
      "type": "string"
    }
  },
  "required": [
    "passport_id",
    "outcome"
  ],
  "additionalProperties": false
}
⚪trust_before_action(subject_agent_id, action, amount, currency, transaction_ref)

Evaluate an agent counterparty before an irreversible economic action such as paying, hiring, delegating, releasing escrow, or granting rights. Returns ALLOW, REVIEW, or DENY with evidence and confidence. REVIEW means evidence is insufficient for an automatic decision.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "subject_agent_id": {
      "type": "string",
      "description": "Counterparty agent to evaluate."
    },
    "action": {
      "type": "string",
      "description": "Planned economic action, for example pay, hire, delegate, release_escrow, or grant_rights."
    },
    "amount": {
      "type": "number",
      "minimum": 0,
      "description": "Planned economic exposure."
    },
    "currency": {
      "type": "string",
      "description": "Currency or asset symbol, e.g. USDC."
    },
    "transaction_ref": {
      "type": "string"
    }
  },
  "required": [
    "subject_agent_id",
    "action"
  ],
  "additionalProperties": false
}
🟢verify_economic_passport(passport_id)

Retrieve and verify an Economic Passport and its immutable outcome history. Use when a counterparty presents a Passport or when you need to inspect transaction evidence.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "passport_id": {
      "type": "string"
    }
  },
  "required": [
    "passport_id"
  ],
  "additionalProperties": false
}
⚪verify_moltbook_identity(token, subject_agent_id)

Verify a temporary Moltbook identity token and bind the verified assertion to an agent identifier. Available only after the Moltbook developer identity integration is configured.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string"
    },
    "subject_agent_id": {
      "type": "string"
    }
  },
  "required": [
    "token"
  ],
  "additionalProperties": false
}

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