# Product Category Exact Normalised Duplicate Audit

> Product Category Exact Normalised Duplicate Audit is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).

Audits up to 200 labelled product-category text records to identify exact normalised duplicates within the dataset.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-ml-product-category-duplicates?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/product-category-exact-normalised-duplicate-audit-1e54243b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wR1fslNYZMWprDx_-6ofc

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-exact-normalised-duplicate-audit-1e54243b -d '<json body>'
```

Example prompt: Can you run an exact normalised duplicate audit on my product category dataset? I have about 50 labelled records with IDs, text descriptions, and categories like apparel, home, electronics, or other — I want to find any exact normalised duplicates hiding in there.

## When to prefer this

Choose this endpoint when you need a lightweight, cheap ($0.01 USDC) exact normalised duplicate audit specifically for product category text records labelled across apparel, home, electronics, and other categories. Ideal for small datasets (up to 200 records) where you want a local, non-LLM-based audit without sending data to a hosted model. Best suited for data quality checks before training classifiers or loading product data to production systems.

## Known failure modes

- Fewer than 2 records submitted — minimum input not met
- More than 200 records submitted — exceeds maxItems limit
- Records missing required fields (id, text, actual) — validation error
- Invalid category value outside enum (apparel, home, electronics, other) — schema rejection
- Record ID exceeds 80 characters — field length violation
- Text field exceeds 1000 characters per record — field length violation

## How this service works

Product category - Exact normalised duplicate audit: Exact normalised duplicate audit 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 exact normalised duplicate audit deliverable.

## Output

A bounded duplicate audit deliverable identifying exact normalised duplicate records within the submitted dataset, including which record IDs match as duplicates after normalisation, enabling dataset cleanup and deduplication.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/product-category-exact-normalised-duplicate-audit-1e54243b/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)