# Task Type Fixed-Holdout Learning Curve

> Task Type 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 a naive-Bayes text classifier that predicts task type (research, writing, analysis, implementation) from up to 200 labelled text records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-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/task-type-fixed-holdout-learning-curve-965034bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hlzPbileb7zDYloRbksga

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 task-type-fixed-holdout-learning-curve-965034bd -d '<json body>'
```

Example prompt: Run a fixed-holdout learning curve on my task-type dataset — I have about 50 labelled documents split across research, writing, analysis, and implementation categories, and I want to see how classifier accuracy changes as training size grows.

## When to prefer this

Choose this endpoint when you have a small set of labelled text documents (up to 200) classified into task types (research, writing, analysis, implementation) and want to understand how classifier performance scales with training data using a simple naive-Bayes baseline — without needing a hosted model or foundation model. Ideal for feasibility checks before investing in larger labelling efforts.

## Known failure modes

- Fewer than 2 records supplied — minimum input requirement not met
- Record text exceeds 1000 character limit — truncation or rejection
- Invalid or missing 'actual' label not in enum (research, writing, analysis, implementation)
- Too few examples per class to construct a meaningful learning curve
- Duplicate or missing record IDs causing data integrity issues
- Payment not processed — x402 payment required before response

## How this service works

Task type - Fixed-holdout learning curve: Fixed-holdout learning curve for Task type. 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

A bounded fixed-holdout learning curve deliverable showing how naive-Bayes classification accuracy on the held-out test set changes as the number of training examples increases, computed locally from the supplied labelled text records across the four task type categories.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/task-type-fixed-holdout-learning-curve-965034bd/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)