{"uid":"cap_BX5VFd7KZisMS0VJga6J7","slug":"driver-fatigue-camera-mcp-78599189","name":"Driver Fatigue Camera 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/driver-fatigue-camera-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.22","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":"$0.22/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.22","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.22","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_jloaTKerEvO7QxZtBvrXF","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.22","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Processes driver-facing camera data to detect signs of fatigue, drowsiness, or inattention in real time.","exampleAgentPrompt":"Analyze this dashcam frame and tell me if the driver is showing signs of fatigue or drowsiness — send the image data as a base64 string and return the detection result.","exampleUseCases":[{"title":"Fleet truck driver drowsiness alert","prompt":"I have a base64-encoded image from one of our truck dashcams — can you run it through the fatigue detection system and tell me if the driver appears drowsy or at risk of falling asleep?"},{"title":"Rideshare driver safety monitoring","prompt":"Here's a snapshot from the in-cabin camera of one of our rideshare drivers — analyze it for signs of fatigue and let me know if we should send an alert to the driver."},{"title":"Automated fatigue checkpoint for long-haul routes","prompt":"We captured a driver frame at the three-hour mark of a long-haul route — process this image data and tell me whether the driver's fatigue level is within safe limits or whether we should trigger a rest stop recommendation."}],"resultDescription":"The endpoint returns a fatigue/drowsiness detection result for the submitted driver image, likely including a classification (e.g. alert, fatigued, drowsy), a confidence or severity score, and possibly specific indicators such as eye-closure state or head-pose anomalies.","failureModes":["Malformed or non-image base64 string returns a parsing or validation error","Low-quality or dark images may yield low-confidence or inconclusive results","Missing 'data' field in request body results in a 400 bad request","Overly large image payloads may time out or be rejected","Non-driver images (e.g. road-facing camera) may return meaningless classifications"],"whenToPreferThis":"Choose this endpoint when you need real-time or near-real-time fatigue and drowsiness detection from a driver-facing camera image, especially in fleet management, rideshare safety, or autonomous vehicle monitoring contexts. It is purpose-built for driver fatigue specifically, making it more appropriate than a generic image classification API when the domain is driver safety.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T07:14:54.201Z","isFirstParty":false}