{"uid":"cap_BgS6QLEmHVtBhGn-AUJO8","slug":"m2mcent-computer-vision-metadata-optimizer-mcp-dd94a805","name":"M2MCent Computer Vision Metadata 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/computer-vision-metadata-optimizer-mcp-164/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}},"responseSchema":{"type":"object","required":["boolean"],"properties":{"boolean":{"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":"$0.996843/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.996843","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.996843","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_gzPKiJrlLCH7at07d813q","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.996843","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Optimizes and processes computer vision metadata via a remote MCP node, returning a boolean result indicating processing success or validity.","exampleAgentPrompt":"Can you run this computer vision metadata through the M2MCent optimizer and tell me if it passes: 'image_id: 4821, labels: [cat, outdoor], confidence: 0.87, bbox: [10,20,100,200]'?","exampleUseCases":[{"title":"Validate image annotation metadata","prompt":"I have this image annotation metadata string — 'filename: photo_001.jpg, tags: [person, bicycle], resolution: 1920x1080, annotator_id: A12' — can you run it through the computer vision metadata optimizer and tell me if it's valid?"},{"title":"QA check for CV pipeline output","prompt":"Before I push this batch result to production, can you validate this computer vision output metadata: 'model: yolov8, frame: 0042, detections: 3, scores: [0.91, 0.76, 0.88], timestamp: 2024-06-01T12:00:00Z'?"},{"title":"Filter malformed vision metadata","prompt":"I'm cleaning up my dataset — can you check whether this metadata entry is well-formed enough to pass: 'object_class: vehicle, track_id: 99, bbox_normalized: [0.1, 0.2, 0.4, 0.6], source: dashcam_feed_7'?"}],"resultDescription":"Returns a JSON object with a single 'boolean' field indicating whether the submitted computer vision metadata text passed the optimization/validation check (true = valid/optimized, false = failed).","failureModes":["Missing required 'text' field returns a validation error","Malformed JSON input body causes a 400-level error","Payment failure via x402 protocol results in 402 Payment Required response","Extremely long text inputs may be rejected or time out","Service unavailability across the MCP node returns 5xx errors"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, single-call boolean check on computer vision metadata strings and want to offload the validation logic to a remote MCP node. It is best suited for pipelines where a simple pass/fail signal on CV metadata is sufficient, especially when operating under tight token budgets (the service claims 95% token context savings). Avoid it when you need rich structured feedback, confidence scores, or detailed error explanations from the validation process.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T18:38:31.526Z","isFirstParty":false,"canonicalSlug":"m2mcent-computer-vision-metadata-optimizer-mcp-dd94a805"}