{"uid":"cap_M1r28DLI6oz1au4vA9Trq","slug":"computer-vision-metadata-synthesizer-mcp-47a388ad","name":"Computer Vision Metadata Synthesizer 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-synthesizer-mcp-529/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["dataset"],"properties":{"dataset":{"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":"$0.833937/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.833937","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.833937","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_1GAhoHFjVlixFVlxuSrz0","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.833937","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Synthesizes and extracts structured metadata from computer vision datasets via a monetized MCP node endpoint.","exampleAgentPrompt":"Can you synthesize metadata from my computer vision dataset called 'retail-shelf-images-2024' and give me a structured report on what it contains?","exampleUseCases":[{"title":"Retail shelf image dataset audit","prompt":"I have a computer vision dataset named 'retail-shelf-v3' — can you run it through the metadata synthesizer and give me a report on what's in it?"},{"title":"Autonomous vehicle dataset cataloging","prompt":"Run my autonomous driving dataset 'av-urban-footage-q1' through the computer vision metadata synthesizer so I can understand its structure and contents."},{"title":"Medical imaging pipeline preprocessing","prompt":"Before I train my model, synthesize metadata from my medical imaging dataset 'chest-xray-batch-007' so I know what annotations and attributes are present."}],"resultDescription":"Returns a report object containing a boolean indicating the outcome of the metadata synthesis operation. The minimal schema suggests a pass/fail or completion signal rather than rich structured metadata — agents should treat this as a processing confirmation.","failureModes":["Missing or invalid 'dataset' field returns a schema validation error","Dataset identifier not found or inaccessible may return a false report","Payment failure via x402 protocol results in 402 Payment Required before processing","Malformed dataset string may cause processing errors","Timeout on large datasets could return an incomplete or failed report"],"whenToPreferThis":"Choose this endpoint when you need automated metadata synthesis from computer vision datasets within an MCP-compatible agent workflow, especially when operating in a gasless USDC micropayment environment on Base L2. Suitable for pipelines where token context efficiency matters and a pay-per-call model is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T01:01:55.540Z","isFirstParty":false,"canonicalSlug":"computer-vision-metadata-synthesizer-mcp-47a388ad"}