# Pose Estimation OpenPose MCP

> Pose Estimation OpenPose MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).

Performs human pose estimation on images using the OpenPose algorithm to detect body keypoints and skeletal structure.

## Facts

- Endpoint: POST https://api.m2mcent.com/pose-estimation-openpose-mcp/api/process
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pose-estimation-openpose-mcp-976cd641
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zsCywIrbzfUhjcxBkBP8a

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 pose-estimation-openpose-mcp-976cd641 -d '<json body>'
```

Example prompt: Can you run pose estimation on this image and give me the body keypoints and skeletal joint coordinates detected by OpenPose?

## When to prefer this

Choose this endpoint when you need to extract human body keypoints or skeletal joint positions from images using the well-established OpenPose framework, especially for fitness, sports analytics, animation reference, or posture analysis tasks where precise joint coordinate extraction is required.

## Known failure modes

- Invalid or malformed image data returns an error
- No human detected in the image may return empty keypoints or null result
- Partial occlusion of body may result in incomplete keypoint detection
- Unsupported image format may cause processing failure
- Image too low resolution may reduce accuracy of pose detection

## How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

## Output

Returns detected human body keypoints and joint coordinates extracted from the input image, including skeletal structure positions (e.g. shoulders, elbows, wrists, hips, knees, ankles) as identified by the OpenPose algorithm.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pose-estimation-openpose-mcp-976cd641/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)