# Sentiment Grouped Dataset Split

> Sentiment Grouped Dataset Split is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Splits up to 200 labelled sentiment text records into grouped train/test subsets for local evaluation and naive-Bayes baseline comparison.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-sentiment-dataset-split?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sentiment-grouped-dataset-split-255bd65f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vCeKmfp8QblsOxkJdKIlc

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-grouped-dataset-split-255bd65f -d '<json body>'
```

Example prompt: I have 150 labelled customer reviews tagged as positive, neutral, or negative — can you do a grouped dataset split on them so I can evaluate them locally with a naive-Bayes baseline?

## When to prefer this

Choose this endpoint when you have a small labelled sentiment corpus (up to 200 records) and need a fast, inexpensive grouped train/test split with naive-Bayes baseline evaluation — particularly for local dataset work without access to a hosted model or foundation-model training pipeline. Ideal for quick sanity-checking of labelled sentiment data or benchmarking annotation quality.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- More than 200 records supplied — maxItems exceeded
- Missing required fields (id, text, actual) on any record
- Invalid 'actual' enum value (must be positive, neutral, or negative)
- Record ID exceeds 80 characters or text exceeds 1000 characters
- Insufficient class diversity to produce meaningful grouped split

## How this service works

Sentiment - Grouped dataset split: Grouped dataset split 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 grouped dataset split deliverable.

## Output

A grouped dataset split deliverable partitioning up to 200 supplied labelled text records by sentiment class (positive, neutral, negative) into train/test groups, suitable for local evaluation and naive-Bayes baseline benchmarking. No hosted model or foundation-model training is included.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sentiment-grouped-dataset-split-255bd65f/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)