{"uid":"cap_NslnVukDci9P0qHL2JvrV","slug":"halowerk-planar-point-cloud-dbscan-density-connected-cluster-detection-f9bb8f34","name":"Halowerk Planar Point Cloud DBSCAN Density-Connected Cluster Detection","description":"Separate dense components and isolated noise in a bounded planar point cloud.","url":"https://detect.halowerk.com/v1/F-TD2000-GEO-INDUSTRY-B001/planar-point-cloud-dbscan-density-connected-clusters?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"artifact":{"type":"object","required":["dbscan"],"properties":{"dbscan":{"type":"object","required":["data","claim"],"properties":{"data":{"type":"object","required":["points","epsilon","min_samples"],"properties":{"points":{"type":"array","items":{"type":"array","items":{"type":"number","maximum":1000000,"minimum":-1000000},"maxItems":2,"minItems":2},"maxItems":128,"minItems":1},"epsilon":{"type":"number","maximum":10000,"minimum":0.000001},"min_samples":{"type":"integer","maximum":128,"minimum":1}},"additionalProperties":false},"claim":{}},"additionalProperties":false}},"additionalProperties":false}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zRdZ4ZLdHuOsu058hm5Du","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Applies DBSCAN clustering to a 2D bounded planar point cloud, separating dense connected components from isolated noise points.","exampleAgentPrompt":"Cluster these 2D points using DBSCAN with epsilon 1.5 and min_samples 3, and tell me which points belong to dense groups versus which are just noise: [(0.1, 0.2), (0.15, 0.25), (0.9, 0.9), (5.0, 5.0), (0.12, 0.22), (0.8, 0.85)].","exampleUseCases":[{"title":"Geospatial facility cluster detection","prompt":"I have GPS coordinates of 80 industrial sites across a region — can you cluster them with DBSCAN using epsilon 0.5 and min_samples 4 to find dense industrial zones and flag isolated outlier sites?"},{"title":"Noise filtering in sensor point data","prompt":"Here are 50 2D sensor readings from our planar detector array. Run DBSCAN with epsilon 2.0 and min_samples 2 on these points so I can separate the genuine signal clusters from random noise readings."},{"title":"Spatial segmentation for robotics mapping","prompt":"I've got a 2D occupancy point cloud with up to 128 obstacle points from a floor scan — please run DBSCAN with epsilon 0.8 and min_samples 5 to group them into distinct obstacle clusters and identify isolated points I should ignore."}],"resultDescription":"Returns cluster assignments for each input point, distinguishing density-connected core cluster members from isolated noise points. Points belonging to the same dense region share a cluster identifier, while outliers are labeled as noise.","failureModes":["Epsilon value outside allowed range (0.000001 to 10000) returns validation error","min_samples outside range (1 to 128) returns validation error","Points array exceeding 128 items returns validation error","Points with coordinate values outside [-1000000, 1000000] return validation error","Points array items not exactly 2D (not exactly 2 numbers per point) return schema error","Missing required fields (points, epsilon, min_samples) return 400 Bad Request","Payment not provided or insufficient USDC balance may return 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need a hosted, pay-per-call DBSCAN implementation for small-to-medium 2D planar point clouds (up to 128 points) without spinning up local compute. It is especially suited for agents operating in geospatial or industrial contexts that need on-demand spatial clustering with deterministic density-connectivity semantics, without managing ML infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T06:41:23.241Z","isFirstParty":false,"canonicalSlug":"halowerk-planar-point-cloud-dbscan-density-connected-cluster-detection-f9bb8f34"}