# Optical Flow Estimator MCP

> 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.

## Facts

- Endpoint: POST https://api.m2mcent.com/optical-flow-estimator-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/optical-flow-estimator-mcp-b88b83e6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tkYFU3WoQp4LfesPL3Bf9

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 optical-flow-estimator-mcp-b88b83e6 -d '<json body>'
```

Example prompt: Can you estimate the optical flow between these two consecutive video frames and give me the motion vectors showing how pixels moved from one frame to the next?

## When to prefer this

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.

## Known failure modes

- 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

## 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 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.

## 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/optical-flow-estimator-mcp-b88b83e6/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)