# Release Change Label and Prediction Audit

> Release Change Label and Prediction Audit 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).

Audits classifier labels and predictions for software release change type classification (feature, fix, documentation, maintenance) across up to 200 text records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-release-change-label-audit?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-label-and-prediction-audit-cc4a7bc2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SjDF4_9Lr4RCaui4UrVj-

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-label-and-prediction-audit-cc4a7bc2 -d '<json body>'
```

Example prompt: Can you run a label and prediction audit on these 50 release note records I've classified as feature, fix, documentation, or maintenance — I'll supply the actual labels, predicted labels, and the 4-class probability scores for each one, and I want to see how accurate the predictions are?

## When to prefer this

Choose this endpoint when you need a fast, low-cost ($0.01) audit of classifier predictions for software release change type classification across the four canonical categories (feature, fix, documentation, maintenance), especially when you already have labelled records with probability scores and want per-record and aggregate evaluation without training or hosting a model.

## Known failure modes

- More than 200 records supplied — request will be rejected or truncated
- Probability arrays not summing to 1 or containing values outside [0,1]
- Invalid enum values for actual or predicted labels (must be feature, fix, documentation, or maintenance)
- Probability arrays with fewer or more than 4 elements
- Missing required fields (id, text, actual, predicted, probabilities) on any record
- Empty records array returns trivial or empty audit output

## How this service works

Release change - Label and prediction audit: Label and prediction audit 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 label and prediction audit deliverable.

## Output

A bounded audit deliverable covering classification accuracy metrics, per-class performance breakdown, prediction vs actual label comparison, and probability-based analysis for up to 200 release change text records classified across four categories: feature, fix, documentation, and maintenance.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted",
     "probabilities"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "actual": {
      "enum": [
       "feature",
       "fix",
       "documentation",
       "maintenance"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "feature",
       "fix",
       "documentation",
       "maintenance"
      ],
      "type": "string"
     },
     "probabilities": {
      "type": "array",
      "items": {
       "type": "number",
       "default": 0,
       "maximum": 1,
       "minimum": 0
      },
      "default": [],
      "maxItems": 4,
      "minItems": 4
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "feature sample document number 0 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-1",
     "text": "feature sample document number 1 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-0-2",
     "text": "feature sample document number 2 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature",
     "probabilities": [
      0.8,
      0.06666666666666667,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-0",
     "text": "fix sample document number 0 for this supplied dataset.",
     "actual": "fix",
     "predicted": "fix",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-1",
     "text": "fix sample document number 1 for this supplied dataset.",
     "actual": "fix",
     "predicted": "fix",
     "probabilities": [
      0.06666666666666667,
      0.8,
      0.06666666666666667,
      0.06666666666666667
     ]
    },
    {
     "id": "example-1-2",
   
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-change-label-and-prediction-audit-cc4a7bc2/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)