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Presence mmWave Radar MCP
x402
Presence mmWave Radar MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-15).
Processes mmWave radar sensor data to detect and analyze human presence using machine learning
Price / call$0.08
Success—
StatusUnknown
How this service works
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Output
Returns a structured analysis of the mmWave radar data indicating whether a human presence is detected, along with confidence scores, occupancy status, and potentially positional or motion metadata derived from the radar signal.
Example use cases
Smart room occupancy automation
“I have a mmWave radar sensor in my conference room — here's the latest sensor data reading. Can you tell me if anyone is currently in the room so I can automate the HVAC and lighting?”
Retail zone foot traffic detection
“Analyze this mmWave radar data from the entrance of my store and tell me whether a customer is present in the detection zone right now.”
Elderly care presence monitoring
“Here's the radar sensor output from the bedroom sensor. Can you determine if my elderly parent is present and whether there are any anomalies suggesting a fall or absence?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/presence-mmwave-radar-mcp/api/processWhen to prefer
Choose this endpoint when you need to analyze mmWave radar sensor payloads specifically for human presence detection, particularly in IoT pipelines, smart building automation, or safety monitoring scenarios where camera-based detection is not acceptable. It is ideal for privacy-preserving occupancy sensing since radar does not capture visual imagery.
Side effects
- Malformed or empty radar data string returns an error response
- Sensor data from unsupported radar hardware may yield inaccurate results
- Network timeout or payment failure (402) if USDC payment not authorized
- Ambiguous radar readings in noisy RF environments may produce low-confidence results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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