# AR Plane Detector MCP

> AR Plane Detector MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.22/call, status unknown (last checked 2026-10-12).

Detects and identifies planes (flat surfaces) in augmented reality scenes from input data, returning surface detection results for AR applications.

## Facts

- Endpoint: POST https://api.m2mcent.com/ar-plane-detector-mcp/api/process?utm_source=zero.xyz
- Price: $0.22/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ar-plane-detector-mcp-529bd942
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1RNEDUimrn9pZf9k5IKZL

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability ar-plane-detector-mcp-529bd942 -d '<json body>'
```

Example prompt: Can you analyze this AR scene data and detect any flat planes or surfaces — like floors, walls, or tables — that I could use to place virtual objects on?

## When to prefer this

Choose this endpoint when you need to detect and identify flat surfaces (planes) within AR scene or image data for the purpose of anchoring virtual objects, building AR experiences, or understanding spatial layout. Prefer this over generic computer vision endpoints when the specific task is planar surface detection in AR/spatial computing contexts.

## Known failure modes

- Invalid or malformed input data string returns an error
- No planes detectable in the provided scene data results in empty or null response
- Input data too large or in unsupported format may cause processing failure
- Ambiguous or low-quality spatial data may produce low-confidence or no detections
- Network timeout for complex scene processing

## How this service works

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## Output

The endpoint returns detected plane information from the provided scene or image data, including identified flat surfaces (horizontal and/or vertical), their spatial coordinates or boundaries, orientation data, and confidence scores indicating the likelihood of each detected plane.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ar-plane-detector-mcp-529bd942/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)