{"uid":"cap_reZ3pl_qWDbC6LQjfLx_k","slug":"trust-anomaly-detector-c4a0ee95","name":"Trust Anomaly Detector","description":"Detect material drift between comparable trust vectors without asserting misconduct","url":"https://phion.systems/v1/paid/trust/trust-anomaly-detector?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input","output"],"properties":{"input":{"type":"object","required":["body"],"properties":{"body":{"type":"object","additionalProperties":true}}},"output":{"type":"object","required":["example"],"properties":{"example":{"type":"object","additionalProperties":true}}}}},"responseSchema":{"type":"json"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_7tPI4IGwEqfvQCqS1B_2D","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Detects material drift between comparable trust vectors without asserting misconduct or making definitive fraud claims","exampleAgentPrompt":"Can you check whether the trust vector for agent 'procurement-bot-v2' has drifted materially from the baseline we established last week — I want to know if there are any significant anomalies without anyone making a formal misconduct accusation?","exampleUseCases":[{"title":"Pre-transaction vendor trust audit","prompt":"Before we let this new supplier agent handle our procurement, compare its current trust vector against the reference profile we have on file and tell me if there's any significant drift I should know about."},{"title":"Periodic agent fleet drift monitoring","prompt":"Run a trust anomaly check on our customer-facing agent against last month's baseline — flag any material deviations in its behavior or capability signals, but don't assert anything definitive about wrongdoing."},{"title":"Multi-agent capability consistency check","prompt":"We have two agents bidding for the same task — can you compare their trust vectors side by side and highlight any anomalies or inconsistencies between them before we award the contract?"}],"resultDescription":"Returns a structured report identifying the magnitude and nature of drift between two trust vectors, including an anomaly score, a summary of deviations across key trust dimensions, and risk indicators — without asserting misconduct or making definitive fraud determinations.","failureModes":["Malformed or missing trust vector inputs return a validation error","Incomparable vector schemas (mismatched dimensions) may produce unreliable drift scores","Insufficient baseline data results in a low-confidence or inconclusive anomaly report","Network or service unavailability returns a 503 or payment-related 402 error","Ambiguous identity references for the compared agents may cause lookup failures"],"whenToPreferThis":"Choose this endpoint when you need an objective, neutral measurement of drift between two trust profiles — especially in agentic commerce or multi-agent coordination contexts where you want risk signals without triggering formal misconduct assertions. Prefer it over a full fraud-detection service when neutrality and non-accusatory framing are important, or when comparing agent trust vectors rather than evaluating raw transaction data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T01:28:38.585Z","isFirstParty":false,"canonicalSlug":"trust-anomaly-detector-c4a0ee95"}