Verity Suite Pro Guardrail Check is a paid API for AI agents from verity-suite.onrender.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-13).
Evaluates a proposed agent action against a policy and context, returning an allow/review/block decision with risk score and reasoning
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
A JSON object with a 'decision' field (allow, review, or block), a 'risk' float between 0 and 1, an array of 'reasons' explaining the decision, an optional 'concerns' array listing specific risks, and an optional 'safer_alternative' string suggesting a less risky path if the action was flagged or blocked.
POSThttps://verity-suite.onrender.com/check/proUse this endpoint when an AI agent needs a calibrated, policy-aware safety gate before taking a consequential or irreversible action — especially when no human is in the loop. Prefer it over homegrown rule checks when you need structured risk scores, human-readable reasons, and a 'safer alternative' suggestion. It is particularly valuable for fail-closed architectures where the default is to block unless explicitly cleared.
| Field | Type | Description |
|---|---|---|
| actionrequired | string | the action the agent is about to take |
| policy | string | rules that must not be violated |
| context | string | situation/background |
| Field | Type | Description |
|---|---|---|
| riskrequired | number | 0 = clearly safe, 1 = clearly dangerous |
| reasonsrequired | array | concrete reasons for the decision |
| concerns | array | specific risks noted |
| decisionrequired | string | the gate decision |
| safer_alternative | — | a safer path if blocked/flagged |
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