{"uid":"cap_w1Oo2T1_C5-3GyzQHMwp2","slug":"verity-suite-quick-guardrail-check-73ad11e7","name":"Verity Suite Quick Guardrail Check","description":"Guardrail: pre-action safety: allow / review / block Calibrated, fail-closed AI-safety service for agents — honest 0-1 confidence, abstains rather than guess.","url":"https://verity-suite.onrender.com/check/quick","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"action":{"type":"string","title":"Action","maxLength":2000,"minLength":1,"description":"the action the agent is about to take"},"policy":{"anyOf":[{"type":"string","maxLength":2000},{"type":"null"}],"title":"Policy","default":null,"description":"rules that must not be violated"},"context":{"anyOf":[{"type":"string","maxLength":2000},{"type":"null"}],"title":"Context","default":null,"description":"situation/background"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_D1tfsooO-hrC7Roc29cIo","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Evaluates an agent action against optional policy rules and context, returning a risk score and allow/review/block decision.","exampleAgentPrompt":"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.","exampleUseCases":null,"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:37:37.874Z","isFirstParty":false}