# Issue Kind — Grouped Dataset Split

> Issue Kind — 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 2026-10-24).

Splits up to 200 labelled issue-classification text records (bug/request/question/other) into grouped train/test partitions and returns local dataset split deliverables with naive-Bayes baselines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-issue-kind-dataset-split?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/issue-kind-grouped-dataset-split-fbe29540
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-37XeibIGf2nGc27HT6sW

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 issue-kind-grouped-dataset-split-fbe29540 -d '<json body>'
```

Example prompt: Split my 120 labelled support ticket records — tagged as bug, request, question, or other — into grouped train and test sets and give me a naive-Bayes baseline evaluation for issue kind classification.

## When to prefer this

Choose this endpoint when you need a quick, local grouped train/test split and naive-Bayes baseline for a small labelled issue-classification dataset (up to 200 records) across the four issue kind categories (bug, request, question, other), without requiring hosted model infrastructure or foundation-model training. Ideal for prototyping, local evaluation, and sanity-checking labelled datasets before committing to larger ML pipelines.

## Known failure modes

- Fewer than 2 records supplied — minimum item count not met
- More than 200 records supplied — maximum item count exceeded
- Record missing required fields (id, text, actual) — schema validation error
- Invalid 'actual' label value outside enum (bug/request/question/other) — rejected record
- Duplicate record IDs causing ambiguous grouping
- Insufficient class representation for meaningful split (e.g. only one class present)

## How this service works

Issue kind - Grouped dataset split: Grouped dataset split for Issue kind. 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 bounded grouped dataset split deliverable containing partitioned train and test record sets drawn from the supplied labelled text records, along with local naive-Bayes baseline evaluation metrics for the four issue kind categories (bug, request, question, other).

## 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": [
       "bug",
       "request",
       "question",
       "other"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "bug sample document number 0 for this supplied dataset.",
     "actual": "bug"
    },
    {
     "id": "example-0-1",
     "text": "bug sample document number 1 for this supplied dataset.",
     "actual": "bug"
    },
    {
     "id": "example-0-2",
     "text": "bug sample document number 2 for this supplied dataset.",
     "actual": "bug"
    },
    {
     "id": "example-1-0",
     "text": "request sample document number 0 for this supplied dataset.",
     "actual": "request"
    },
    {
     "id": "example-1-1",
     "text": "request sample document number 1 for this supplied dataset.",
     "actual": "request"
    },
    {
     "id": "example-1-2",
     "text": "request sample document number 2 for this supplied dataset.",
     "actual": "request"
    },
    {
     "id": "example-2-0",
     "text": "question sample document number 0 for this supplied dataset.",
     "actual": "question"
    },
    {
     "id": "example-2-1",
     "text": "question sample document number 1 for this supplied dataset.",
     "actual": "question"
    },
    {
     "id": "example-2-2",
     "text": "question sample document number 2 for this supplied dataset.",
     "actual": "question"
    },
    {
     "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/issue-kind-grouped-dataset-split-fbe29540/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)