{"uid":"cap_vK-K5Vi-BdtCqqOU1KSGk","slug":"lidar-odometry-mcp-df3c9c45","name":"LiDAR Odometry 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/lidar-odometry-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.35","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":"$0.35/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.35","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.35","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ND_c5UiiQw7S7be2DAZgD","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.35","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Processes LiDAR scan data to compute odometry estimates (position and orientation) for autonomous navigation and mapping.","exampleAgentPrompt":"Process this LiDAR scan data and give me the odometry estimate — I need the robot's current position and orientation based on these point cloud readings.","exampleUseCases":[{"title":"Autonomous robot localization pipeline","prompt":"I have a sequence of LiDAR scans from my robot and need to compute the odometry — can you process this scan data and tell me the estimated position and heading?"},{"title":"Drone navigation pose estimation","prompt":"Take this LiDAR sensor data from my drone flight and compute the odometry so I can track its position and orientation in real time."},{"title":"Mapping vehicle trajectory reconstruction","prompt":"I collected LiDAR readings from a survey vehicle — can you run odometry on this data to reconstruct the vehicle's trajectory and pose over time?"}],"resultDescription":"Returns computed odometry information derived from the input LiDAR scan data, including estimated position and orientation (pose) of the sensor/robot platform.","failureModes":["Malformed or empty data string returns a 400 error","Corrupt or unsupported LiDAR data format may produce inaccurate odometry or an error","Payment failure (402) if USDC balance is insufficient","Timeout if scan data is excessively large","Server error (500) for internal processing failures"],"whenToPreferThis":"Choose this endpoint when you need to compute odometry from raw LiDAR scan data in an agentic pipeline — particularly for robotics, autonomous vehicle, or drone applications where position/orientation estimation from point cloud data is required without needing a full SLAM stack.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:56.814Z","isFirstParty":false,"canonicalSlug":"lidar-odometry-mcp-df3c9c45"}