{"uid":"cap_qGIBaItICplv9hdpZro0T","slug":"computer-vision-fraud-detection-extractor-317dc3a8","name":"Computer Vision Fraud Detection Extractor","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/computer-vision-fraud-detection-extractor-mcp-332/api/execute","method":"POST","headers":{},"bodySchema":{"type":"object","required":["parameters"],"properties":{"parameters":{"type":"string"}}},"responseSchema":{"type":"object","required":["analysis"],"properties":{"analysis":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.15","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":"$0.23966/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.23966","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.23966","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_JWcIkWErUtSIWPRdZW2cM","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.23966","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes input parameters using computer vision techniques to detect and flag fraudulent activity, returning a boolean fraud detection result.","exampleAgentPrompt":"Analyze this image for signs of fraud — run it through the computer vision fraud detection extractor and tell me if it comes back as fraudulent or not.","exampleUseCases":[{"title":"Detect forged identity documents","prompt":"I have a scanned image of a passport submitted for KYC — can you run it through the computer vision fraud detector and tell me if it looks forged or manipulated?"},{"title":"Flag fraudulent payment receipts","prompt":"A user uploaded a receipt image to claim a refund — can you check it with the fraud detection extractor to see if it's been tampered with?"},{"title":"Screen product images for counterfeit listings","prompt":"We have a product photo submitted by a third-party seller — can you run it through the computer vision fraud analysis to see if it's flagged as fraudulent?"}],"resultDescription":"Returns a JSON object with an 'analysis' boolean field: true indicates fraud was detected, false indicates the input appears legitimate. No confidence score or detail breakdown is provided beyond this binary result.","failureModes":["Missing or malformed 'parameters' field returns a validation error","Unparseable or unsupported image encoding in parameters may yield incorrect results","Network timeout or node unavailability may return a 5xx error","Ambiguous or low-quality visual input may produce unreliable boolean output","Payment failure via x402 protocol may block request execution"],"whenToPreferThis":"Use this endpoint when you need a fast, lightweight binary fraud signal from computer vision analysis and can encode your visual or contextual data as a string parameter. Best suited for pipelines that need a simple true/false fraud flag without requiring detailed explanations or confidence scores. Prefer alternatives if you need multi-class fraud categorization, confidence percentages, or bounding box localization of fraud indicators.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T19:02:34.575Z","isFirstParty":false}