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Product Category Exact Normalised Duplicate Audit
x402
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.
Price / call$0.01
Success—
StatusUnknown
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.
Example use cases
E-commerce catalog deduplication check
“I've got 120 product listings labelled as apparel, home, electronics, or other and I suspect some duplicate descriptions snuck in during scraping — can you run an exact normalised duplicate audit on them so I know which records to remove?”
ML training data quality validation
“Before I train my product classifier, I want to make sure my 80 labelled training records don't have any exact normalised duplicates that could skew the model — can you audit the dataset for me?”
Product taxonomy cleanup audit
“We imported product data from two systems and merged them into about 150 records tagged with categories like home and electronics. Can you audit the combined dataset for exact normalised duplicates so we can clean it up before loading to production?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-product-category-duplicates?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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