{"uid":"cap_QwrpZD2Xpk-AqSCshCxdD","slug":"m2mcent-iot-image-recognition-optimizer-mcp-badcbd34","name":"M2MCent IoT Image Recognition Optimizer 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/iot-image-recognition-optimizer-mcp-679/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["prompt"],"properties":{"prompt":{"type":"string"}}},"responseSchema":{"type":"object","required":["status"],"properties":{"status":{"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":"$0.183214/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.183214","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.183214","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_cor84z4TYErmh6LB3mfAp","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.183214","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs an IoT-focused image recognition optimization task via a remote MCP node, returning a success/failure status.","exampleAgentPrompt":"Can you run image recognition optimization on my IoT camera feed data — I need to classify objects detected by industrial sensors and get a result on whether it succeeded?","exampleUseCases":[{"title":"Factory floor anomaly detection","prompt":"I have images coming from my factory floor IoT cameras — can you run image recognition optimization on them to detect whether any equipment looks anomalous or out of place?"},{"title":"Smart retail shelf monitoring","prompt":"My smart shelf cameras are sending image data — run the IoT image recognition optimizer on this feed to identify whether products are correctly stocked and placed."},{"title":"Agricultural crop inspection","prompt":"I've got drone camera images from my IoT crop monitoring system — can you process them through the image recognition optimizer to identify any signs of disease or pest damage?"}],"resultDescription":"Returns a JSON object with a boolean 'status' field indicating whether the image recognition optimization task completed successfully (true) or failed (false). No additional data fields are guaranteed in the response schema.","failureModes":["Missing or empty 'prompt' field returns validation error","Malformed prompt causes processing failure with status: false","Payment failure via x402 protocol blocks execution","Network timeout on MCP node returns no response","Node unavailability or overload may return error status","Ambiguous or unsupported image description may yield status: false with no detail"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-use IoT image recognition optimization call via the x402 micropayment protocol on Base L2, especially when minimizing token context overhead is important. Best suited for agents already integrated with x402 USDC payment flows targeting IoT or edge vision use cases.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T00:50:12.488Z","isFirstParty":false,"canonicalSlug":"m2mcent-iot-image-recognition-optimizer-mcp-badcbd34"}