Point Cloud Denoiser MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.35/call, status unknown (last checked 2026-09-15).
Removes noise from 3D point cloud data to produce cleaner, more accurate spatial datasets
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A processed, denoised point cloud with noise points and outliers removed, returned as cleaned spatial data ready for downstream 3D processing, reconstruction, or analysis tasks.
POSThttps://api.m2mcent.com/point-cloud-denoiser-mcp/api/processChoose this endpoint when you need to preprocess noisy 3D scan data (LiDAR, photogrammetry, depth sensors) before downstream tasks like mesh reconstruction, object detection, or spatial analysis. Useful when raw sensor data contains outliers, artifacts, or statistical noise that would degrade model accuracy.
| Field | Type | Description |
|---|---|---|
| payload | string |
{
"type": "json",
"example": {
"success": true
}
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