# Sentiment Training Evaluation Text Overlap

> Sentiment 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 2026-10-20).

Checks whether evaluation texts overlap with labelled training records, providing a data-leakage analysis for sentiment classification datasets.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-sentiment-leakage?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sentiment-training-evaluation-text-overlap-281ce6f6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aibCfJhuKhmF_BCkr4y_y

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 sentiment-training-evaluation-text-overlap-281ce6f6 -d '<json body>'
```

Example prompt: Check my sentiment training records for data leakage — I have about 50 labelled texts tagged as positive, neutral, or negative, plus 20 evaluation texts I want to test against, and I need to know if any evaluation examples overlap with the training set.

## When to prefer this

Choose this endpoint when you need to audit a sentiment-labelled dataset for training-evaluation text leakage before model evaluation or publication. It is specifically designed for small-to-medium datasets (up to 200 records) with three-class sentiment labels and returns a bounded overlap report without requiring a hosted model or foundation-model infrastructure. Prefer it over general-purpose deduplication tools when the task is specifically validating sentiment classification dataset integrity.

## Known failure modes

- Fewer than 2 records provided — minimum 2 labelled records required
- More than 200 records or 200 evaluation texts supplied — exceeds maxItems limit
- Record text exceeds 1000 characters — truncation or rejection
- Missing required fields (id, text, actual) in any record object
- Invalid sentiment label — must be one of positive, neutral, negative
- Empty evaluation_texts array — at least 1 evaluation text required

## How this service works

Sentiment - Training evaluation text overlap: Training evaluation text overlap for Sentiment. 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 reporting which evaluation texts overlap with training records, including overlap indicators and metrics that reveal potential data leakage between the training and evaluation splits of a sentiment dataset.

## 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": [
       "positive",
       "neutral",
       "negative"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "positive sample document number 0 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-0-1",
     "text": "positive sample document number 1 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-0-2",
     "text": "positive sample document number 2 for this supplied dataset.",
     "actual": "positive"
    },
    {
     "id": "example-1-0",
     "text": "neutral sample document number 0 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-1-1",
     "text": "neutral sample document number 1 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-1-2",
     "text": "neutral sample document number 2 for this supplied dataset.",
     "actual": "neutral"
    },
    {
     "id": "example-2-0",
     "text": "negative sample document number 0 for this supplied dataset.",
     "actual": "negative"
    },
    {
     "id": "example-2-1",
     "text": "negative sample document number 1 for this supplied dataset.",
     "actual": "negative"
    },
    {
     "id": "example-2-2",
     "text": "negative sample document number 2 for this supplied dataset.",
     "actual": "negative"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  },
  "evaluation_texts": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 1000
   },
   "default": [
    "positive sample document number 0 for this supplied dataset.",
    "A separate supplied document."
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sentiment-training-evaluation-text-overlap-281ce6f6/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)