# EdTech Image Recognition Analyzer MCP

> EdTech Image Recognition Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.574586/call, status unknown (last checked 2026-10-13).

Analyzes educational images or content provided as a string and returns a boolean analysis result indicating whether recognition criteria are met

## Facts

- Endpoint: POST https://api.m2mcent.com/edtech-image-recognition-analyzer-mcp-422/api/execute?utm_source=zero.xyz
- Price: $0.574586/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/edtech-image-recognition-analyzer-mcp-fa6e0b5f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QHr-k2dQRbmNqH_lzEbqm

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 edtech-image-recognition-analyzer-mcp-fa6e0b5f -d '<json body>'
```

Example prompt: Analyze this educational image data and tell me whether it passes recognition — here's the base64-encoded image string: [image data].

## When to prefer this

Choose this endpoint when you need a lightweight boolean pass/fail recognition check on educational image content within an automated edtech workflow, especially when operating within the x402 micropayment ecosystem on Base L2 and token context efficiency is a priority.

## Known failure modes

- Missing required 'data' field returns a validation error
- Empty or malformed string data may return false or an error
- Very large image strings may time out or exceed payload limits
- Non-image or non-base64 string data may produce unreliable boolean results
- Payment failure via x402 protocol blocks execution entirely

## 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 JSON object with a single boolean field 'analysis' indicating whether the submitted image data passed the recognition criteria (true = recognized/passes, false = not recognized/fails).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "data"
 ],
 "properties": {
  "data": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "analysis"
 ],
 "properties": {
  "analysis": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/edtech-image-recognition-analyzer-mcp-fa6e0b5f/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)