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Optical Flow Estimator MCP
x402
Optical Flow Estimator 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).
Estimates optical flow (motion vectors) between frames or images, computing per-pixel motion fields for video analysis and computer vision tasks.
Price / call$0.25
Success—
StatusUnknown
How this service works
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Output
Returns a computed optical flow field representing per-pixel motion vectors between input frames, including displacement maps and potentially flow magnitude or direction data indicating how each pixel moved between frames.
Example use cases
Video stabilization motion analysis
“I have two consecutive frames from a shaky handheld video — can you run optical flow estimation on them so I can see the per-pixel motion vectors and use them to stabilize the footage?”
Object tracking in surveillance footage
“I need to track how a person is moving across these two frames from a security camera feed — can you compute the optical flow to get the displacement map showing their motion?”
Autonomous vehicle scene understanding
“These are two frames from a dashcam captured 33ms apart — can you estimate the optical flow between them so I can understand the motion field and identify moving obstacles?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/optical-flow-estimator-mcp/api/processWhen to prefer
Choose this endpoint when you need dense optical flow estimation as a service without managing local GPU infrastructure — ideal for agents that need to analyze motion between video frames on-demand at $0.25 per call, especially in pipelines for video stabilization, object tracking, or action recognition.
Side effects
- Invalid or malformed base64 image data returns an error
- Input data string is empty or null
- Frames with incompatible dimensions or formats may fail processing
- Insufficient image quality or extreme noise may produce unreliable flow estimates
- Payment failure via x402 protocol returns 402 status before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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