# Meeting Topic Grouped Dataset Split

> Meeting Topic 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 2026-10-15).

Splits a labelled meeting-topic dataset into grouped train/test partitions using naive-Bayes baseline tooling for the four meeting topic classes.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-meeting-topic-dataset-split?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/meeting-topic-grouped-dataset-split-23fdc75f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jK2nF_cMjOYrDd7zOcrgp

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 meeting-topic-grouped-dataset-split-23fdc75f -d '<json body>'
```

Example prompt: Can you do a grouped dataset split on my meeting topic records? I have about 50 labelled texts across four categories — planning, progress, decision, and review — and I need the train/test partition with a naive-Bayes baseline evaluation.

## When to prefer this

Choose this endpoint when you have up to 200 labelled meeting-topic text records and need a quick, reproducible grouped train/test split with a naive-Bayes baseline — ideal for lightweight local evaluation before committing to a larger model training pipeline. It is purpose-built for the four-class meeting topic schema (planning, progress, decision, review) and costs only $0.01 per call, making it suitable for iterative dataset assessment.

## Known failure modes

- Fewer than 2 records supplied — minItems validation error
- More than 200 records supplied — maxItems validation error
- Record text exceeds 1000 characters — field-level validation error
- Invalid label value outside enum (planning/progress/decision/review) — schema rejection
- Insufficient class representation for grouped split — degenerate split or error returned
- Missing required fields (id, text, actual) — schema validation failure

## How this service works

Meeting topic - Grouped dataset split: Grouped dataset split for Meeting topic. 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

Returns a bounded grouped dataset split deliverable: the input records partitioned into train and test groups by meeting topic label (planning, progress, decision, review), along with a naive-Bayes baseline evaluation on the split — no hosted model or foundation-model training involved.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/meeting-topic-grouped-dataset-split-23fdc75f/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)