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Verity Suite Quick Guardrail Check
x402
Verity Suite Quick Guardrail Check is a paid API for AI agents from verity-suite.onrender.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Evaluates an agent action against optional policy rules and context, returning a risk score and allow/review/block decision.
Price / call$0.02
Success—
StatusUnknown
How this service works
Guardrail: pre-action safety: allow / review / block Calibrated, fail-closed AI-safety service for agents — honest 0-1 confidence, abstains rather than guess.
Output
Returns a JSON object with a 'decision' field (allow, review, or block), a 'risk' score from 0 to 1 (0 = clearly safe, 1 = clearly dangerous), a 'reasons' array explaining the decision, an optional 'concerns' array listing specific risks, and an optional 'safer_alternative' string suggesting a less risky path if the action is flagged or blocked.
Example use cases
Example prompt
“Before I proceed, run a quick guardrail check on this action: 'send a bulk email to all 5,000 users offering a 50% discount coupon' — my policy is 'no mass communications without human approval' and the context is that I'm an autonomous marketing agent running overnight campaigns.”
Technical details
Endpoint
POSThttps://verity-suite.onrender.com/check/quickWhen to prefer
Use this endpoint when an AI agent needs a fast, per-action risk gate before executing potentially harmful or policy-violating steps. It is ideal for fail-closed architectures where uncertain actions should default to blocked or reviewed. Prefer this over a custom LLM prompt-based check when you need a structured, scored, auditable response with explicit reasons and a safer-alternative suggestion, and when you want to pay only per call rather than maintain your own safety model.
Side effects
- Missing required 'action' field returns a validation error
- Ambiguous or very short action strings may produce low-confidence decisions
- Network timeouts possible if the Render.com host is cold-starting
- Overly broad policy strings may result in overly conservative 'block' decisions
- Context field left empty may reduce decision accuracy for nuanced actions
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| action | string | the action the agent is about to take |
| policy | — | rules that must not be violated |
| context | — | situation/background |
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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