# Meeting Topic Fixed-Holdout Learning Curve

> Meeting Topic Fixed-Holdout Learning Curve 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).

Generates a fixed-holdout learning curve for meeting topic classification (planning/progress/decision/review) using a naive-Bayes baseline on up to 200 labelled text records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-meeting-topic-learning-curve?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-fixed-holdout-learning-curve-26a2c632
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xSxDdOBdzPjxJtOQygdIa

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-fixed-holdout-learning-curve-26a2c632 -d '<json body>'
```

Example prompt: Run a fixed-holdout learning curve on my labelled meeting transcripts — I have about 80 records tagged as planning, progress, decision, or review — and show me how the naive-Bayes baseline accuracy changes as training size grows.

## When to prefer this

Choose this endpoint when you need a quick, cheap ($0.01 USDC) evaluation of how a naive-Bayes baseline learns to classify meeting topics (planning, progress, decision, review) from your own labelled text data, without needing a hosted model or foundation-model training. Ideal for data sufficiency analysis, sanity-checking label quality, or benchmarking small local datasets before committing to larger ML infrastructure.

## Known failure modes

- Fewer than 2 records supplied — minimum input size not met
- Records missing required fields (id, text, actual) — validation error
- Text exceeds 1000 character limit per record — truncation or rejection
- Fewer than one example per class — model cannot learn distinctions
- More than 200 records supplied — exceeds maximum input size
- Invalid enum value for 'actual' field — only planning/progress/decision/review accepted

## How this service works

Meeting topic - Fixed-holdout learning curve: Fixed-holdout learning curve 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 fixed-holdout learning curve deliverable.

## Output

Returns a fixed-holdout learning curve showing how naive-Bayes classification accuracy (and related evaluation metrics) changes as the number of training records increases, computed against a held-out portion of the supplied labelled meeting topic records (planning, progress, decision, review).

## 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-fixed-holdout-learning-curve-26a2c632/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)