# Meeting Topic Supplied-Group Evaluation

> Meeting Topic Supplied-Group Evaluation 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).

Evaluates a supplied set of labelled meeting-topic text records (planning/progress/decision/review) broken down by group, computing classification metrics and naive-Bayes baselines per segment.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-meeting-topic-group-evaluation?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-supplied-group-evaluation-55033ac1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1V2pp6jzSB9XUzPzJccJG

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-supplied-group-evaluation-55033ac1 -d '<json body>'
```

Example prompt: I have up to 200 labelled meeting notes with actual and predicted topic labels (planning, progress, decision, or review) split across groups A and B — can you run a group-level evaluation and tell me how accurate the classifier is for each group?

## When to prefer this

Choose this endpoint when you have a small dataset (up to 200 records) of already-labelled meeting text with both actual and predicted topic categories and you need group-stratified classification metrics plus a naive-Bayes baseline — without requiring a hosted model or foundation-model training. Prefer it over general ML evaluation tools when the classification task is specifically the four meeting topic categories (planning, progress, decision, review) and group-level breakdowns are required.

## Known failure modes

- More than 200 records supplied — exceeds the bounded limit, request rejected
- Missing required fields (id, text, actual, predicted, group) on any record — validation error
- Invalid enum value for actual or predicted (must be planning, progress, decision, review) — schema error
- Empty records array — no data to evaluate, returns error
- Text field exceeds 1000 characters per record — truncation or rejection

## How this service works

Meeting topic - Supplied-group evaluation: Supplied-group evaluation 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 supplied-group evaluation deliverable.

## Output

Returns a bounded evaluation deliverable containing per-group classification metrics (e.g. accuracy, precision, recall) for each meeting topic class (planning, progress, decision, review), along with naive-Bayes baseline comparisons, computed locally from up to 200 supplied labelled text records.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted",
     "group"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "actual": {
      "enum": [
       "planning",
       "progress",
       "decision",
       "review"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "planning",
       "progress",
       "decision",
       "review"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "planning sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "planning",
     "predicted": "planning"
    },
    {
     "id": "example-0-1",
     "text": "planning sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "planning",
     "predicted": "planning"
    },
    {
     "id": "example-0-2",
     "text": "planning sample document number 2 for this supplied dataset.",
     "group": "a",
     "actual": "planning",
     "predicted": "planning"
    },
    {
     "id": "example-1-0",
     "text": "progress sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "progress",
     "predicted": "progress"
    },
    {
     "id": "example-1-1",
     "text": "progress sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "progress",
     "predicted": "progress"
    },
    {
     "id": "example-1-2",
     "text": "progress sample document number 2 for this supplied dataset.",
     "group": "a",
     "actual": "progress",
     "predicted": "progress"
    },
    {
     "id": "example-2-0",
     "text": "decision sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "decision",
     "predicted": "decision"
    },
    {
     "id": "example-2-1",
     "text": "decision sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "decision",
     "predicted": "decision"
    },
    {
     "id": "example-2-2",
     "text": "decision sample document number 2 for this supplied 
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/meeting-topic-supplied-group-evaluation-55033ac1/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)