{"uid":"cap_cSAjIm39zd-wjkYl7DGjV","slug":"ai-safety-biometric-monitor-mcp-ddc90940","name":"AI Safety Biometric Monitor 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-monitor-mcp-313/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["query"],"properties":{"query":{"type":"string"}}},"responseSchema":{"type":"object","required":["report"],"properties":{"report":{"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":"$1.443231/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.443231","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.443231","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_9K2ukcXikhkLvzb4-8cIb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.443231","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Executes an AI safety biometric monitoring query and returns a boolean report indicating the monitoring result.","exampleAgentPrompt":"Run a biometric safety monitor check using the query 'elevated heart rate detected during AI interaction session' and tell me whether the safety report flags a concern.","exampleUseCases":[{"title":"AI deployment safety gate check","prompt":"Before we deploy this AI model to production, run a biometric monitor safety check with the query 'operator stress indicators during model evaluation' and tell me if the report comes back true or false."},{"title":"Workplace AI safety compliance","prompt":"Check the AI safety biometric monitor with the query 'sustained pupil dilation and elevated cortisol in human-AI task session' — does the system flag a safety issue?"},{"title":"Real-time operator wellbeing monitoring","prompt":"I need to know if the biometric safety check passes for query 'fatigue markers observed in AI oversight personnel' — run it and give me the boolean result."}],"resultDescription":"Returns a JSON object with a single 'report' boolean field — true or false — indicating whether the biometric monitoring query triggered a safety flag or passed the safety check.","failureModes":["Missing required 'query' field returns a 400 validation error","Payment not provided or insufficient USDC triggers a 402 Payment Required response","Malformed query string may return an unexpected boolean or server error","Service unavailability on the subdomain returns 503 or timeout","Ambiguous or empty query string may return a generic false report without meaningful evaluation"],"whenToPreferThis":"Use this endpoint when you need a lightweight boolean safety signal from a biometric monitoring context tied to AI system oversight. It is suitable when you only need a pass/fail result rather than a detailed report, and when you are operating within the x402 micropayment infrastructure on Base L2. Avoid if you need structured diagnostic data, confidence scores, or multi-dimensional safety metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:41:46.025Z","isFirstParty":false,"canonicalSlug":"ai-safety-biometric-monitor-mcp-ddc90940"}