# Product Category Classifier – Supplied-Group Evaluation

> Product Category Classifier – Supplied-Group Evaluation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Evaluates a supplied set of labelled product category predictions (apparel/home/electronics/other) broken down by user-defined groups, returning per-group classification metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-product-category-group-evaluation?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/product-category-classifier-supplied-group-evaluation-c63daf81
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZBznXuH5l2PIAIcExG1Le

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 product-category-classifier-supplied-group-evaluation-c63daf81 -d '<json body>'
```

Example prompt: I have up to 200 labelled product records — each with actual and predicted categories (apparel, home, electronics, or other) and a group tag — can you run a supplied-group evaluation to see how my classifier performs across each group?

## When to prefer this

Choose this endpoint when you need to evaluate a text-based product category classifier (apparel, home, electronics, other) across user-defined subgroups with up to 200 supplied labelled records, without needing a hosted model or foundation-model training pipeline. It is ideal for lightweight, one-shot fairness or segment-accuracy audits on small datasets at minimal cost ($0.01 USDC).

## Known failure modes

- More than 200 records submitted — exceeds the bounded input limit
- Missing required fields (id, text, actual, predicted, group) on any record
- Invalid enum value for actual or predicted (must be apparel, home, electronics, or other)
- Empty records array returns no meaningful evaluation
- Payment not completed or insufficient USDC balance

## How this service works

Product category - Supplied-group evaluation: Supplied-group evaluation for Product category. 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 supplied-group evaluation deliverable.

## Output

Returns per-group classification evaluation metrics for the supplied labelled records, including accuracy and related breakdown statistics across the defined group partitions, covering the four product categories: apparel, home, electronics, and other.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "records": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "id",
     "text",
     "actual",
     "predicted",
     "group"
    ],
    "properties": {
     "id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "text": {
      "type": "string",
      "default": "",
      "maxLength": 1000
     },
     "group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "actual": {
      "enum": [
       "apparel",
       "home",
       "electronics",
       "other"
      ],
      "type": "string"
     },
     "predicted": {
      "enum": [
       "apparel",
       "home",
       "electronics",
       "other"
      ],
      "type": "string"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "id": "example-0-0",
     "text": "apparel sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "apparel",
     "predicted": "apparel"
    },
    {
     "id": "example-0-1",
     "text": "apparel sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "apparel",
     "predicted": "apparel"
    },
    {
     "id": "example-0-2",
     "text": "apparel sample document number 2 for this supplied dataset.",
     "group": "a",
     "actual": "apparel",
     "predicted": "apparel"
    },
    {
     "id": "example-1-0",
     "text": "home sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "home",
     "predicted": "home"
    },
    {
     "id": "example-1-1",
     "text": "home sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "home",
     "predicted": "home"
    },
    {
     "id": "example-1-2",
     "text": "home sample document number 2 for this supplied dataset.",
     "group": "a",
     "actual": "home",
     "predicted": "home"
    },
    {
     "id": "example-2-0",
     "text": "electronics sample document number 0 for this supplied dataset.",
     "group": "a",
     "actual": "electronics",
     "predicted": "electronics"
    },
    {
     "id": "example-2-1",
     "text": "electronics sample document number 1 for this supplied dataset.",
     "group": "b",
     "actual": "electronics",
     "predicted": "electronics"
    },
    {
     "id": "example-2-2",
     "text": "electronics sample document number 2 for this supplied dataset.",
     "group": "a",

… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/product-category-classifier-supplied-group-evaluation-c63daf81/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)