# LegalTech Malware Simulator Image Classifier

> LegalTech Malware Simulator Image Classifier is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.966227/call, status unknown (last checked 2026-10-10).

Accepts an image input and returns a boolean prediction, ostensibly for malware simulation classification in a legaltech context.

## Facts

- Endpoint: POST https://api.m2mcent.com/legaltech-malware-simulator-mcp-862/api/execute?utm_source=zero.xyz
- Price: $0.966227/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/legaltech-malware-simulator-image-classifier-cad685ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ghbyw5tQft_Pp9gsfzBve

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 legaltech-malware-simulator-image-classifier-cad685ec -d '<json body>'
```

Example prompt: Run this screenshot image through the malware classifier and tell me whether it's flagged as malicious or not.

## When to prefer this

Use this endpoint when you need a simple binary classification (yes/no) of an image for malware-related content in a legaltech context, and you are operating within an x402 USDC micropayment-enabled agent environment on Base L2.

## Known failure modes

- Missing 'image' field in request body returns validation error
- Invalid or malformed image data may cause processing failure
- Payment failure via x402 protocol blocks execution
- Service unavailability on the subdomain returns 5xx error
- Ambiguous image format may yield unreliable boolean output

## 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 submitted image is classified as malware (true) or not (false).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "image"
 ],
 "properties": {
  "image": {
   "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/legaltech-malware-simulator-image-classifier-cad685ec/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)