# Review Aspect Grouped Dataset Split

> Review Aspect 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 review-aspect text records into a grouped train/test dataset split with local evaluation and naive-Bayes baselines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-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/review-aspect-grouped-dataset-split-61ca576d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oN1coUnmW5S8x2HC9-m4n

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-grouped-dataset-split-61ca576d -d '<json body>'
```

Example prompt: Can you do a grouped dataset split on my 50 labelled product review records — they're each tagged as performance, appearance, value, or other — and give me the train/test partition along with a naive-Bayes baseline evaluation?

## When to prefer this

Choose this endpoint when you have a small labelled dataset (up to 200 records) of product review text already tagged by aspect (performance, appearance, value, other) and need a quick grouped train/test split with a local naive-Bayes baseline evaluation — without standing up a hosted model or using a foundation model. Ideal for label quality checks, feasibility assessments, and lightweight ML experiments at minimal cost ($0.01 per call).

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- More than 200 records supplied — exceeds maximum item limit
- Invalid aspect label used outside enum (performance/appearance/value/other)
- Record text exceeds 1000 character limit — truncation or rejection
- ID field missing or empty — required field validation failure
- Unbalanced class distribution may degrade naive-Bayes baseline metrics

## How this service works

Review aspect - Grouped dataset split: Grouped dataset split 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 grouped dataset split deliverable.

## Output

A grouped dataset split deliverable containing train and test partitions of the supplied labelled review-aspect records (up to 200), along with local evaluation metrics and a naive-Bayes baseline performance report. No hosted model is trained; results are local and bounded to the supplied data.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/review-aspect-grouped-dataset-split-61ca576d/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)