# M2MCent Fintech Image Recognition Analyzer MCP

> M2MCent Fintech Image Recognition Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.040156/call, status unknown (last checked 2026-10-16).

Performs image recognition analysis on a dataset and returns a binary prediction result for fintech use cases

## Facts

- Endpoint: POST https://api.m2mcent.com/fintech-image-recognition-analyzer-mcp-933/api/execute?utm_source=zero.xyz
- Price: $0.040156/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/m2mcent-fintech-image-recognition-analyzer-mcp-724454cb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__cB9u9QBX7KW8PxUMDAW1

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 m2mcent-fintech-image-recognition-analyzer-mcp-724454cb -d '<json body>'
```

Example prompt: Analyze this fintech image dataset and tell me whether it matches the expected pattern — run it through the image recognition analyzer and give me a true or false prediction.

## When to prefer this

Choose this endpoint when you need a lightweight, cost-effective binary image classification for fintech datasets, especially when paying per-call via x402 USDC micropayments on Base L2 and token context savings are a priority.

## Known failure modes

- Missing or malformed 'dataset' field returns a validation error
- Invalid dataset format may cause prediction to fail
- Service unavailability returns HTTP 402 if payment fails or 500 on server error
- Empty dataset string may produce unreliable prediction results

## 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 'prediction' indicating whether the analyzed image dataset matches the expected fintech classification criteria (true or false).

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/m2mcent-fintech-image-recognition-analyzer-mcp-724454cb/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)