ActionGate Risk Score API

x402

ActionGate Risk Score API is a paid API for AI agents from api.actiongate.xyz, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).

Scores the risk of a proposed autonomous agent action before execution, enabling pre-execution policy gating

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Score action risk before execution.

Output

Returns a numeric risk score and a policy gate decision (allow/block) for the proposed agent action, enabling the agent to decide whether to proceed or halt execution.

Example use cases

Example prompt

“Before my AI agent executes this action — transferring 500 USDC to wallet 0xABC... — run a risk score on it and tell me whether it passes the policy gate or should be blocked.”

Technical details

Endpoint

POSThttps://api.actiongate.xyz/v1/risk-score

When to prefer

Use this endpoint when you need a fast, paid, per-call risk score specifically for autonomous agent pre-execution decisions — particularly when you need a policy gate that can block or allow actions before they are committed. Prefer this over internal heuristics when compliance, auditability, or safety guarantees are required for agentic workflows.

Side effects

Invalid or malformed action payload returns 400 error
Insufficient USDC balance for $0.02 per-call fee results in payment failure
Unknown action type or unsupported schema returns validation error
Timeout if action context is too large or complex
Service unavailable returns 503

Input

{
  "input": {
    "body": {
      "actor": {
        "actor_id": "test-agent-001"
      },
      "action": {
        "action_type": "read_data"
      },
      "request_id": "req-qa-test-001"
    },
    "type": "http",
    "bodyType": "json"
  }
}

Schema · Request body

Field	Type	Description
actor	object
action	object
context	object
request_id	string

Output

{
  "score": 46,
  "severity": "medium",
  "confidence": 0.55,
  "latency_ms": 0,
  "request_id": "req-qa-test-001",
  "reason_codes": [
    {
      "code": "TREASURY_BASELINE",
      "message": "Applied deterministic treasury transfer baseline."
    },
    {
      "code": "MISSING_TARGET",
      "message": "Transfer target is missing, reducing confidence in the action."
    }
  ],
  "usage_receipt": {
    "currency": "USD",
    "signature": "99b5e827bb7fc4ae127eb6b1d038637d4722d22fc892f110ebb5e8d8a1b369b0",
    "request_id": "req-qa-test-001",
    "units_billed": 1,
    "payment_reference": "pay_req-qa-test-001",
    "price_per_unit_usd": "0.02"
  },
  "confidence_sources": [
    "threshold_analysis"
  ]
}

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Technical details

Endpoint

POSThttps://api.actiongate.xyz/v1/risk-score

When to prefer

Side effects

Invalid or malformed action payload returns 400 error
Insufficient USDC balance for $0.02 per-call fee results in payment failure
Unknown action type or unsupported schema returns validation error
Timeout if action context is too large or complex
Service unavailable returns 503

Input

{
  "input": {
    "body": {
      "actor": {
        "actor_id": "test-agent-001"
      },
      "action": {
        "action_type": "read_data"
      },
      "request_id": "req-qa-test-001"
    },
    "type": "http",
    "bodyType": "json"
  }
}

Schema · Request body

Field	Type	Description
actor	object
action	object
context	object
request_id	string

Output

{
  "score": 46,
  "severity": "medium",
  "confidence": 0.55,
  "latency_ms": 0,
  "request_id": "req-qa-test-001",
  "reason_codes": [
    {
      "code": "TREASURY_BASELINE",
      "message": "Applied deterministic treasury transfer baseline."
    },
    {
      "code": "MISSING_TARGET",
      "message": "Transfer target is missing, reducing confidence in the action."
    }
  ],
  "usage_receipt": {
    "currency": "USD",
    "signature": "99b5e827bb7fc4ae127eb6b1d038637d4722d22fc892f110ebb5e8d8a1b369b0",
    "request_id": "req-qa-test-001",
    "units_billed": 1,
    "payment_reference": "pay_req-qa-test-001",
    "price_per_unit_usd": "0.02"
  },
  "confidence_sources": [
    "threshold_analysis"
  ]
}