# Task Type Grouped Dataset Split

> Task Type 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).

Performs a grouped dataset split on up to 200 labelled task-type text records, returning train/test partitions with local evaluation and naive-Bayes baseline metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-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/task-type-grouped-dataset-split-d6c99760
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pkhekn83sqf8vxb0mb2y1

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 task-type-grouped-dataset-split-d6c99760 -d '<json body>'
```

Example prompt: Split my 48 labelled task-type text records — covering research, writing, analysis, and implementation categories — into a grouped train/test dataset split and give me the baseline evaluation metrics.

## When to prefer this

Choose this endpoint when you have a small labelled text dataset (up to 200 records) tagged with task-type categories (research, writing, analysis, implementation) and need a grouped train/test split with a quick naive-Bayes baseline evaluation — without needing a hosted model or large foundation model. Ideal for prototyping text classifiers, validating annotation balance, or benchmarking simple baselines locally before investing in heavier ML infrastructure.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met, request rejected
- More than 200 records supplied — exceeds maxItems limit, request rejected
- Record text exceeds 1000 characters — field validation error
- Invalid or missing 'actual' label not in enum (research/writing/analysis/implementation) — schema validation failure
- Insufficient records per class to produce a meaningful grouped split — degraded or empty partition output
- Payment not completed — x402 payment required before response is returned

## How this service works

Task type - Grouped dataset split: Grouped dataset split for Task type. 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 records, organized by task type class (research, writing, analysis, implementation), along with local evaluation metrics and a naive-Bayes baseline benchmark score.

## 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": [
       "research",
       "writing",
       "analysis",
       "implementation"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "research sample document number 0 for this supplied dataset.",
     "actual": "research"
    },
    {
     "id": "example-0-1",
     "text": "research sample document number 1 for this supplied dataset.",
     "actual": "research"
    },
    {
     "id": "example-0-2",
     "text": "research sample document number 2 for this supplied dataset.",
     "actual": "research"
    },
    {
     "id": "example-1-0",
     "text": "writing sample document number 0 for this supplied dataset.",
     "actual": "writing"
    },
    {
     "id": "example-1-1",
     "text": "writing sample document number 1 for this supplied dataset.",
     "actual": "writing"
    },
    {
     "id": "example-1-2",
     "text": "writing sample document number 2 for this supplied dataset.",
     "actual": "writing"
    },
    {
     "id": "example-2-0",
     "text": "analysis sample document number 0 for this supplied dataset.",
     "actual": "analysis"
    },
    {
     "id": "example-2-1",
     "text": "analysis sample document number 1 for this supplied dataset.",
     "actual": "analysis"
    },
    {
     "id": "example-2-2",
     "text": "analysis sample document number 2 for this supplied dataset.",
     "actual": "analysis"
    },
    {
     "id": "example-3-0",
     "text": "implementation sample document number 0 for this supplied dataset.",
     "actual": "implementation"
    },
    {
     "id": "example-3-1",
     "text": "implementation sample document number 1 for this supplied dataset.",
     "actual": "implementation"
    },
    {
     "id": "example-3-2",
     "text": "implementation sample document number 2 for this supplied dataset.",
     "actual": "implementation"
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/task-type-grouped-dataset-split-d6c99760/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)