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LiDAR 360° Collision Detection MCP
x402
LiDAR 360° Collision Detection MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-14).
Processes LiDAR point cloud or sensor data to detect 360-degree collision risks and proximity hazards around an agent or vehicle.
Price / call$0.25
Success—
StatusUnknown
How this service works
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Output
Returns collision detection results derived from the submitted LiDAR data, including identified obstacles, their positions relative to the sensor origin, proximity distances, and assessed collision risk levels across the 360-degree scan field.
Example use cases
Autonomous robot navigation safety check
“Run this LiDAR scan data through collision detection and tell me if my robot has any obstacles within its 360-degree perimeter before it moves forward.”
Warehouse drone flight clearance
“Analyze this full 360 lidar scan from my warehouse drone and flag any collision hazards or objects it might hit during its current flight path.”
Self-driving vehicle proximity alert
“Process this lidar point cloud from my autonomous vehicle and report all detected obstacles and their distances in every direction around the car.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/lidar-360-collision-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to process raw LiDAR or point-cloud sensor data for full 360-degree collision and obstacle detection, especially in robotics, autonomous navigation, or spatial safety contexts where comprehensive perimeter awareness is required.
Side effects
- Malformed or empty 'data' string returns validation error
- Unrecognized data format produces unparseable result
- Sensor data too sparse or noisy leads to low-confidence detections
- Oversized payload may time out or be rejected
- Missing required 'data' field returns 400 bad request
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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