# Release Change Fixed-Holdout Learning Curve

> Release Change 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 labelled dataset of release change text records (feature, fix, documentation, maintenance) using a local naive-Bayes classifier.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-release-change-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/release-change-fixed-holdout-learning-curve-c070bb9b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LTLXyiJ6fTCaxiiLKlNrO

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 release-change-fixed-holdout-learning-curve-c070bb9b -d '<json body>'
```

Example prompt: Run a fixed-holdout learning curve on my release change dataset — I have 80 labelled records split across feature, fix, documentation, and maintenance categories, and I want to see how the naive-Bayes baseline accuracy changes as training size grows.

## When to prefer this

Choose this endpoint when you need a quick, cheap learning curve analysis on a small labelled release change dataset (up to 200 records) using a transparent naive-Bayes baseline, without sending data to a hosted or foundation model. Ideal for gauging how much more labelled data is needed before investing in heavier ML infrastructure, or for auditable offline-style evaluation within an agentic pipeline.

## Known failure modes

- Fewer than 2 records supplied — minimum input not met
- Records missing required fields (id, text, actual) — validation error
- More than 200 records supplied — exceeds maximum limit
- Invalid label value outside allowed enum (feature, fix, documentation, maintenance)
- Insufficient class diversity in records to form a meaningful holdout split
- Payment of 0.01 USDC not completed — request rejected

## How this service works

Release change - Fixed-holdout learning curve: Fixed-holdout learning curve for Release change. 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 fixed-holdout learning curve report showing how naive-Bayes classification performance (e.g. accuracy or F1) on the held-out portion of the supplied labelled records varies as the training set size increases, computed entirely locally without any hosted or foundation model.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-change-fixed-holdout-learning-curve-c070bb9b/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)