# LLM Benchmark Evaluator MCP

> LLM Benchmark Evaluator MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.22/call, status unknown (last checked 2026-10-11).

Evaluates and benchmarks large language model outputs against standard or custom performance metrics

## Facts

- Endpoint: POST https://api.m2mcent.com/llm-benchmark-evaluator-mcp/api/process?utm_source=zero.xyz
- Price: $0.22/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/llm-benchmark-evaluator-mcp-a9f72daa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BGP4khJFkLISnzSROlNfd

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 llm-benchmark-evaluator-mcp-a9f72daa -d '<json body>'
```

Example prompt: Can you evaluate this LLM response against standard benchmarks and give me a quality score? Here's the output to assess: 'The capital of France is Paris, known for the Eiffel Tower.'

## When to prefer this

Choose this endpoint when you need programmatic, per-call LLM output evaluation or benchmarking without setting up your own evaluation infrastructure. Best suited for agents that need to score or quality-check model-generated text on demand, especially in automated pipelines or regression testing workflows.

## Known failure modes

- Empty or missing 'data' field returns validation error
- Malformed input string may return low-confidence or error result
- Service unavailable or timeout on large input payloads
- Ambiguous or very short inputs may yield low-signal scores
- Payment failure via x402 protocol blocks request execution

## 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 benchmark evaluation result including quality scores, performance metrics, and assessment details for the submitted LLM output text.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/llm-benchmark-evaluator-mcp-a9f72daa/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)