{"uid":"cap_EZhcGQq-bZzt8EAoPETHi","slug":"dcl-trust-oracle-quality-behavioral-drift-evaluator-1ec7f19c","name":"DCL Trust Oracle — Quality & Behavioral Drift Evaluator","description":"Check agent outputs for quality issues, inconsistency, and behavioral drift.","url":"https://bazaar.fronesislabs.com/evaluate/quality?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"agent_id":{"type":"string","description":"Caller id stored on the audit record. Optional; omitted values are stored as unknown."},"response":{"type":"string","minLength":1,"description":"Proposed tool call or agent text to check before execution."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_t9TAe44MqbJHhJA8xAI5z","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Evaluates AI agent outputs for quality issues, inconsistency, and behavioral drift, returning a verdict with confidence score and drift analysis.","exampleAgentPrompt":"Run a quality and drift evaluation on my agent's latest output — I need a verdict, confidence score, and drift analysis to make sure it hasn't deviated from expected behavior before I act on it.","exampleUseCases":[{"title":"Pre-action drift check for autonomous agent","prompt":"Before my agent executes that API call it just decided on, run a quality and behavioral drift check on its output — give me the verdict and confidence score so I can decide whether to proceed."},{"title":"Monitoring agent consistency over time","prompt":"My AI agent has been running for a few hours — can you evaluate its latest response for behavioral drift and tell me the drift score and mode so I know if it's staying consistent with its earlier behavior?"},{"title":"Quality gate in multi-agent pipeline","prompt":"We're about to pass this agent's output to the next stage in our pipeline — first run it through a quality evaluation and flag any inconsistency or low-confidence verdict before we continue."}],"resultDescription":"Returns a JSON object containing: a verdict string (pass/fail/review), a confidence score (0-1 float), a drift score, a drift mode classification, a human-readable reason for the verdict, a policy version used for evaluation, an input hash for auditability, a chain index, a transaction hash for payment verification, and a Unix timestamp.","failureModes":["Missing required 'input' field returns a validation error","Malformed query parameters may result in a 400 Bad Request","Service unavailability returns a 5xx error with no verdict","Payment failure (insufficient USDC) blocks the request via x402 protocol","Ambiguous or empty agent output may yield low-confidence verdicts"],"whenToPreferThis":"Choose this endpoint when you need to specifically evaluate AI agent output for quality degradation and behavioral drift over time, particularly when you require a structured drift score and drift mode classification alongside a verdict. Prefer this over the jailbreak/injection detector (a sibling endpoint) when your concern is output quality and consistency rather than adversarial input threats, and over the high-confidence evaluator when cost efficiency matters more than maximum certainty on lower-stakes decisions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:34:53.123Z","isFirstParty":false,"canonicalSlug":"dcl-trust-oracle-quality-behavioral-drift-evaluator-1ec7f19c"}