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Pose Estimation OpenPose MCP
x402
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.
Price / call$0.25
Success—
StatusUnknown
How this service works
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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.
Example use cases
Athlete posture analysis for coaching
“I have a photo of my athlete mid-jump — can you run OpenPose pose estimation on it and give me the joint positions so I can analyze their form?”
Fitness app exercise form check
“Run pose estimation on this workout photo and extract the body keypoints so I can check whether the user's squat form is correct.”
Animation reference from reference photo
“I need to extract human body skeleton keypoints from this reference photo so I can use them to animate a 3D character — can you run OpenPose on it?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/pose-estimation-openpose-mcp/api/processWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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