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Product Category Local Text Classifier (Train & Classify)
x402
Product Category Local Text Classifier (Train & Classify) 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).
Trains a naive-Bayes text classifier on up to 200 labelled product-category records and classifies new query texts into apparel, home, electronics, or other.
Price / call$0.01
Success—
StatusUnknown
How this service works
Product category - Train local text baseline and classify: Train local text baseline and classify 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 train local text baseline and classify deliverable.
Output
Returns predictions for each query text, classifying them into one of the four categories (apparel, home, electronics, other) based on a naive-Bayes model trained locally on the supplied labelled records. May include evaluation metrics and confidence signals from the baseline model run.
Example use cases
E-commerce product feed auto-tagging
“I have 120 product listings with manually assigned categories — apparel, home, electronics, or other — and I want to train a quick classifier and then predict categories for these 10 new product descriptions I just added. Can you run that for me?”
Baseline model accuracy check
“I want to see how well a simple naive-Bayes classifier does on my product data. Here are 80 labelled records split between apparel, home, and electronics — train on them and classify these 5 test items so I can evaluate the baseline performance.”
Category prediction for new inventory
“We just received 15 new supplier items with only raw text descriptions and no categories. Can you train a local text classifier using our 60 existing labelled products and then predict whether each new item is apparel, home, electronics, or other?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-product-category-local-classifier?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap, on-the-fly text classification baseline for product categories (apparel, home, electronics, other) without needing a hosted model, foundation model, or persistent trained artifact. Ideal for quick feasibility checks, baseline benchmarking, or lightweight classification pipelines where cost and simplicity matter more than peak accuracy.
Side effects
- Fewer than 2 records supplied — fails minimum input validation
- More than 200 records supplied — exceeds maximum and is rejected
- Record text exceeds 1000 characters — individual record rejected
- More than 20 query texts submitted — exceeds maximum query count
- Missing required record fields (id, text, actual) — schema validation error
- Label outside allowed enum (apparel, home, electronics, other) — rejected
- Insufficient labelled examples per class — poor classifier performance or failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| query_texts | array |
Tags
x402
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