{"uid":"cap_rmIJnU0xML1o9jw8JwrC0","slug":"verity-suite-compass-quick-ce924e72","name":"Verity Suite Compass Quick","description":"The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.","url":"https://suite.veritylayer.dev/compass/quick","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"options":{"type":"array","items":{"type":"string"},"title":"Options","description":"the candidate choices to pick among; one option per item, stated verbatim as you want it returned"},"evidence":{"anyOf":[{"type":"string","maxLength":2000},{"type":"null"}],"title":"Evidence","default":null,"description":"facts known about the options (specs, prices, availability, data); for any current or external fact, only what is stated here may be used"},"constraints":{"type":"string","title":"Constraints","maxLength":2000,"minLength":1,"description":"the goal plus hard requirements (must-meet gates), soft preferences (weigh, don't gate), and any priorities or tradeoffs between them"}}},"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_Dr4moTu25whOdplrbMHXO","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":"Given a list of candidate options and constraints, returns a calibrated verdict (recommend, tentative, gather_more_info, or no_viable_option) with confidence score and reasons for the best choice.","exampleAgentPrompt":"I need to pick one of these three database vendors — AWS RDS, PlanetScale, and Supabase — for a startup that needs low cost, Postgres compatibility, and good free tier; the constraint is we can't exceed $50/month and must have row-level security. Use Compass to pick the best one and tell me why.","exampleUseCases":[{"title":"Cloud provider selection for a startup","prompt":"We're choosing between AWS, GCP, and Azure for our new ML inference workload. Hard requirements are GPU availability and SOC 2 compliance; we prefer lower cost and simpler networking. Use Compass to pick the best one and explain the tradeoff against the runner-up."},{"title":"Hiring candidate recommendation","prompt":"I have three finalists for our senior engineer role — Alice, Bob, and Carol. The must-haves are 5+ years of Go experience and prior remote work. Nice-to-haves are open source contributions and startup background. Here are their profiles: [Alice: 6yr Go, remote, no OSS; Bob: 5yr Go, remote, active OSS; Carol: 8yr Go, office-only]. Use Compass to recommend who to hire."},{"title":"Product feature prioritization decision","prompt":"We need to pick one feature to ship next quarter from these three: dark mode, CSV export, and SSO. Our constraints are: must improve enterprise retention (hard gate), prefer low engineering effort, and the team only has 3 weeks. Use Compass to tell me which one to build and why."}],"resultDescription":"Returns a structured verdict object with: a verdict enum (recommend, tentative, gather_more_info, or no_viable_option), the chosen option copied verbatim from the input list (when applicable), a confidence score, a list of concrete reasons grounded in the stated constraints and evidence (including the main tradeoff against the runner-up for recommend/tentative verdicts), and a payment receipt confirming the per-call charge.","failureModes":["Missing required fields (options, constraints) returns a validation error","Options list is empty or has only one item — may return no_viable_option or a trivial recommendation","Evidence field omitted when options depend on external facts — verdict defaults to what is inferable from constraints alone, potentially less accurate","Constraints string exceeds 2000 characters — request rejected","Evidence string exceeds 2000 characters — request rejected","Payment failure via x402 protocol returns 402 with payment requirements","Network timeout if upstream processing is slow","Ambiguous constraints that don't clearly distinguish options may yield a tentative verdict with low confidence"],"whenToPreferThis":"Use this endpoint when an AI agent must make a structured, auditable pick among a discrete set of labeled options and needs a fail-closed, calibrated confidence signal rather than open-ended prose. Prefer it over prompting a general LLM directly when you need a machine-readable verdict enum, a verbatim-matched choice string, and a receipt for the decision. It is especially valuable when the agent must respect hard requirement gates (must-meet constraints that eliminate options) alongside soft preferences, and when you want to avoid hallucinated external facts by supplying explicit evidence.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T18:53:16.118Z","isFirstParty":false}