{"uid":"cap_tkYFU3WoQp4LfesPL3Bf9","slug":"optical-flow-estimator-mcp-b88b83e6","name":"Optical Flow Estimator 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/optical-flow-estimator-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":"0.25","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":"$0.25/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_dZNkFgpIdPVjxdurhwWLt","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.25","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Estimates optical flow (motion vectors) between frames or images, computing per-pixel motion fields for video analysis and computer vision tasks.","exampleAgentPrompt":"Can you estimate the optical flow between these two consecutive video frames and give me the motion vectors showing how pixels moved from one frame to the next?","exampleUseCases":[{"title":"Video stabilization motion analysis","prompt":"I have two consecutive frames from a shaky handheld video — can you run optical flow estimation on them so I can see the per-pixel motion vectors and use them to stabilize the footage?"},{"title":"Object tracking in surveillance footage","prompt":"I need to track how a person is moving across these two frames from a security camera feed — can you compute the optical flow to get the displacement map showing their motion?"},{"title":"Autonomous vehicle scene understanding","prompt":"These are two frames from a dashcam captured 33ms apart — can you estimate the optical flow between them so I can understand the motion field and identify moving obstacles?"}],"resultDescription":"Returns a computed optical flow field representing per-pixel motion vectors between input frames, including displacement maps and potentially flow magnitude or direction data indicating how each pixel moved between frames.","failureModes":["Invalid or malformed base64 image data returns an error","Input data string is empty or null","Frames with incompatible dimensions or formats may fail processing","Insufficient image quality or extreme noise may produce unreliable flow estimates","Payment failure via x402 protocol returns 402 status before processing"],"whenToPreferThis":"Choose this endpoint when you need dense optical flow estimation as a service without managing local GPU infrastructure — ideal for agents that need to analyze motion between video frames on-demand at $0.25 per call, especially in pipelines for video stabilization, object tracking, or action recognition.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:59:07.606Z","isFirstParty":false}