# Meeting Topic Classifier — Macro, Micro & Weighted Scores

> Meeting Topic Classifier — Macro, Micro & Weighted Scores 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).

Computes macro, micro, and weighted precision/recall/F1 evaluation scores for a meeting-topic text classifier across planning, progress, decision, and review categories.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-meeting-topic-aggregate-scores?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-classifier-macro-micro-weighted-scores-dd5b35f5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Qw6Gm4AnGnR-3e9Y9qAhL

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-classifier-macro-micro-weighted-scores-dd5b35f5 -d '<json body>'
```

Example prompt: I just ran my meeting topic classifier on 50 labelled meeting transcripts — each one tagged as planning, progress, decision, or review — and I want to know the macro, micro, and weighted F1 scores. Here are the record IDs, texts, actual labels, and predicted labels.

## When to prefer this

Choose this endpoint when you need a fast, cheap ($0.01), self-contained evaluation of a meeting-topic text classifier using standard multi-class metrics (macro, micro, weighted) without setting up your own sklearn pipeline. Ideal for lightweight CI checks on model quality, ad-hoc benchmarking of up to 200 labelled examples, or comparing classifier iterations across planning/progress/decision/review categories. Not suitable if you need per-class breakdown tables, confusion matrices, or evaluation on more than 200 records at once.

## Known failure modes

- More than 200 records supplied — endpoint caps at 200 records per call
- Missing required fields (id, text, actual, or predicted) on any record causes validation failure
- Labels outside the allowed enum values (planning, progress, decision, review) are rejected
- Empty records array returns no meaningful scores
- Text exceeding 1000 characters per record may be truncated or rejected
- Payment of 0.01 USDC not completed — x402 payment required before response is returned

## How this service works

Meeting topic - Macro micro and weighted scores: Macro micro and weighted scores 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 macro micro and weighted scores deliverable.

## Output

Returns macro-averaged, micro-averaged, and weighted-averaged precision, recall, and F1 scores computed across all supplied labelled records for the four meeting topic classes (planning, progress, decision, review), along with supporting metrics derived from the confusion of actual vs. predicted labels.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "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.",
     "actual": "planning",
     "predicted": "planning"
    },
    {
     "id": "example-0-1",
     "text": "planning sample document number 1 for this supplied dataset.",
     "actual": "planning",
     "predicted": "planning"
    },
    {
     "id": "example-0-2",
     "text": "planning sample document number 2 for this supplied dataset.",
     "actual": "planning",
     "predicted": "planning"
    },
    {
     "id": "example-1-0",
     "text": "progress sample document number 0 for this supplied dataset.",
     "actual": "progress",
     "predicted": "progress"
    },
    {
     "id": "example-1-1",
     "text": "progress sample document number 1 for this supplied dataset.",
     "actual": "progress",
     "predicted": "progress"
    },
    {
     "id": "example-1-2",
     "text": "progress sample document number 2 for this supplied dataset.",
     "actual": "progress",
     "predicted": "progress"
    },
    {
     "id": "example-2-0",
     "text": "decision sample document number 0 for this supplied dataset.",
     "actual": "decision",
     "predicted": "decision"
    },
    {
     "id": "example-2-1",
     "text": "decision sample document number 1 for this supplied dataset.",
     "actual": "decision",
     "predicted": "decision"
    },
    {
     "id": "example-2-2",
     "text": "decision sample document number 2 for this supplied dataset.",
     "actual": "decision",
     "predicted": "decision"
    },
    {
     "id": "example-3-0",
     "text": "review sample document number 0 for this supplied dataset.",
     "actual": "review",
     "predicted": "review"
    },
    {
     "id": 
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/meeting-topic-classifier-macro-micro-weighted-scores-dd5b35f5/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)