# Review Aspect Training Evaluation Text Overlap

> Review Aspect Training Evaluation Text Overlap is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Checks whether supplied evaluation texts overlap with labelled training records used to train a local naive-Bayes review-aspect classifier, detecting data leakage.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-leakage?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/review-aspect-training-evaluation-text-overlap-4e11edff
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vQVVg70dsrjwwnzyqZx5s

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 review-aspect-training-evaluation-text-overlap-4e11edff -d '<json body>'
```

Example prompt: Check whether any of my evaluation texts overlap with my labelled training records for review aspect classification — I have records labelled as performance, appearance, value, or other, and I want to know if there's data leakage before I trust my eval scores.

## When to prefer this

Choose this endpoint when you need to audit training/evaluation data integrity for the specific review aspect classification task (performance, appearance, value, other) using local dataset tools without any hosted model or foundation-model training. It is purpose-built for leakage detection in small-scale review-aspect datasets up to 200 records at very low cost ($0.01 USDC).

## Known failure modes

- Fewer than 2 training records provided — minimum is 2 records
- No evaluation texts provided — at least 1 required
- Record text or evaluation text exceeds 1000 character limit
- More than 200 records or evaluation texts supplied — exceeds maxItems
- Missing required fields (id, text, actual) on any record
- Invalid actual label value — must be one of: performance, appearance, value, other
- Record id exceeds 80 character limit or is empty

## How this service works

Review aspect - Training evaluation text overlap: Training evaluation text overlap for Review aspect. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded training evaluation text overlap deliverable.

## Output

A bounded deliverable report indicating which evaluation texts overlap or share significant text similarity with the supplied labelled training records, flagging potential data leakage that could inflate classifier evaluation scores.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "performance",
       "appearance",
       "value",
       "other"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "performance sample document number 0 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-0-1",
     "text": "performance sample document number 1 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-0-2",
     "text": "performance sample document number 2 for this supplied dataset.",
     "actual": "performance"
    },
    {
     "id": "example-1-0",
     "text": "appearance sample document number 0 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-1-1",
     "text": "appearance sample document number 1 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-1-2",
     "text": "appearance sample document number 2 for this supplied dataset.",
     "actual": "appearance"
    },
    {
     "id": "example-2-0",
     "text": "value sample document number 0 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-2-1",
     "text": "value sample document number 1 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-2-2",
     "text": "value sample document number 2 for this supplied dataset.",
     "actual": "value"
    },
    {
     "id": "example-3-0",
     "text": "other sample document number 0 for this supplied dataset.",
     "actual": "other"
    },
    {
     "id": "example-3-1",
     "text": "other sample document number 1 for this supplied dataset.",
     "actual": "other"
    },
    {
     "id": "example-3-2",
     "text": "other sample document number 2 for this supplied dataset.",
     "actual": "other"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  },
  "evaluation_texts": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 1000
   },
   "default": [
    "perf
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/review-aspect-training-evaluation-text-overlap-4e11edff/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)