Halowerk Planar Point Cloud DBSCAN Density-Connected Cluster Detection

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.

• 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