# Release Change Classifier — Macro, Micro & Weighted Scores

> Release Change 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 2026-10-18).

Computes macro, micro, and weighted aggregate classification scores for a batch of labelled release-change text records across four categories (feature, fix, documentation, maintenance).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-release-change-aggregate-scores?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/release-change-classifier-macro-micro-weighted-scores-cf251a41
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fVG-bm-tJeSdqkRjNgh3X

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-classifier-macro-micro-weighted-scores-cf251a41 -d '<json body>'
```

Example prompt: I have up to 200 labelled changelog records — each with an ID, text, actual label (feature, fix, documentation, or maintenance), and predicted label — can you compute the macro, micro, and weighted aggregate classification scores for my release change classifier?

## When to prefer this

Choose this endpoint when you need lightweight, on-demand evaluation of a release change text classifier using aggregate scoring (macro, micro, weighted) without standing up your own evaluation infrastructure or calling a foundation model. Ideal for small batches (≤200 records) where local naive-Bayes baselines and standard sklearn-style metrics are sufficient and cost must stay minimal ($0.01/call).

## Known failure modes

- Exceeding 200 records may result in rejection or truncation
- Missing required fields (id, text, actual, predicted) per record causes validation errors
- Invalid enum values for actual or predicted labels return schema errors
- Empty records array returns no meaningful metrics
- Payment failure (insufficient USDC) blocks execution

## How this service works

Release change - Macro micro and weighted scores: Macro micro and weighted scores 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 macro micro and weighted scores deliverable.

## Output

Returns macro, micro, and weighted aggregate classification scores (such as precision, recall, and F1) computed over up to 200 supplied records containing actual vs predicted labels across four release-change 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"
    ],
    "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"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "feature sample document number 0 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature"
    },
    {
     "id": "example-0-1",
     "text": "feature sample document number 1 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature"
    },
    {
     "id": "example-0-2",
     "text": "feature sample document number 2 for this supplied dataset.",
     "actual": "feature",
     "predicted": "feature"
    },
    {
     "id": "example-1-0",
     "text": "fix sample document number 0 for this supplied dataset.",
     "actual": "fix",
     "predicted": "fix"
    },
    {
     "id": "example-1-1",
     "text": "fix sample document number 1 for this supplied dataset.",
     "actual": "fix",
     "predicted": "fix"
    },
    {
     "id": "example-1-2",
     "text": "fix sample document number 2 for this supplied dataset.",
     "actual": "fix",
     "predicted": "fix"
    },
    {
     "id": "example-2-0",
     "text": "documentation sample document number 0 for this supplied dataset.",
     "actual": "documentation",
     "predicted": "documentation"
    },
    {
     "id": "example-2-1",
     "text": "documentation sample document number 1 for this supplied dataset.",
     "actual": "documentation",
     "predicted": "documentation"
    },
    {
     "id": "example-2-2",
     "text": "documentation sample document number 2 for this supplied dataset.",
     "actual": "documentation",
     "predicted": "documentation"
    },
    {
     "id": "example-3-0",
     "text": "maintenance sample document number 0 for this supplied dataset.",
     "actual": "maintenance",
     "predicted": "maintenance"
    },
   
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-change-classifier-macro-micro-weighted-scores-cf251a41/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)