{"uid":"cap_IQvpFoCES3RgG-_m2AgsD","slug":"ai-safety-biometric-extractor-mcp-b83040ef","name":"AI Safety Biometric Extractor MCP","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/ai-safety-biometric-extractor-mcp-955/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}},"responseSchema":{"type":"object","required":["result"],"properties":{"result":{"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":"$0.300592/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.300592","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.300592","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_XbalaGud2oKiYfMQ2gbTn","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.300592","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes input text and returns a boolean result indicating whether AI safety or biometric content is detected","exampleAgentPrompt":"Can you check this text and tell me whether it contains any biometric or AI safety-related content: 'The system uses facial recognition and retinal scans to authenticate users before granting access to sensitive AI model weights'?","exampleUseCases":[{"title":"Biometric data audit in documents","prompt":"I need to scan this paragraph for any biometric data mentions before we publish it: 'Users authenticate via fingerprint and iris scan through our neural-network gateway.' Does it contain biometric content?"},{"title":"AI safety compliance screening","prompt":"Check whether this model card excerpt triggers any AI safety flags: 'This system monitors user behavior patterns and physiological stress signals to adjust output restrictions.' Return true or false."},{"title":"Content moderation pipeline check","prompt":"Run this user-submitted bio through the biometric extractor and tell me if it contains any AI safety or biometric references: 'I work on liveness detection algorithms and adversarial robustness for face ID systems.'"}],"resultDescription":"A JSON object with a single boolean field 'result' — true if the input text contains AI safety or biometric content, false otherwise. No explanatory text or confidence score is returned.","failureModes":["Missing required 'text' field returns a validation error","Empty string input may return false without processing","Ambiguous or very short text may produce unreliable boolean classification","Network or payment failures (402) if USDC balance is insufficient","Timeout on very long text inputs"],"whenToPreferThis":"Use this endpoint when you need a fast, lightweight boolean signal indicating whether a piece of text contains biometric or AI safety content, especially in pipelines where low token cost and binary output are sufficient. Prefer alternatives if you need confidence scores, entity spans, or multi-label classification.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:42:55.042Z","isFirstParty":false,"canonicalSlug":"ai-safety-biometric-extractor-mcp-b83040ef"}