# Fine-Tuning Quality Scorer MCP

> Fine-Tuning Quality Scorer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.22/call, status unknown (last checked 2026-10-12).

Scores the quality of training data samples to determine their suitability for fine-tuning language models

## Facts

- Endpoint: POST https://api.m2mcent.com/fine-tuning-quality-scorer-mcp/api/process?utm_source=zero.xyz
- Price: $0.22/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fine-tuning-quality-scorer-mcp-407cf714
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KwwryzcymSPbxyBs8tKd2

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 fine-tuning-quality-scorer-mcp-407cf714 -d '<json body>'
```

Example prompt: Score the quality of this training sample for fine-tuning: 'User: What is the capital of France? Assistant: Paris is the capital of France.' — I need to know if it's good enough to include in my dataset.

## When to prefer this

Use this endpoint when you need an automated, cost-efficient signal for ranking or filtering training data samples prior to an LLM fine-tuning job. It is especially useful when curating large instruction-following or RLHF datasets and you want to remove noisy or low-quality examples programmatically without manual review.

## Known failure modes

- Empty or null data field returns an error or zero score
- Extremely long input strings may be truncated or rejected
- Malformed JSON input returns a 400-level error
- Payment not completed results in 402 response blocking access
- Ambiguous or very short samples may yield low-confidence scores

## 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 quality score (likely a numeric value or rating) indicating how suitable the submitted text data is for use as a fine-tuning training sample, potentially accompanied by qualitative feedback or confidence indicators.

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/fine-tuning-quality-scorer-mcp-407cf714/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)