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Review Aspect Local Text Classifier (Train & Classify)
x402
Review Aspect 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 2026-10-16).
Trains a local naive-Bayes text classifier on up to 200 labelled review records and classifies query texts into review aspect categories (performance, appearance, value, other).
Price / call$0.01
Success—
StatusUnknown
How this service works
Review aspect - Train local text baseline and classify: Train local text baseline and classify for Review aspect. 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 predicted aspect classifications for the supplied query texts (performance, appearance, value, or other), along with a local baseline evaluation based on the provided labelled training records. No hosted model is retained after the call.
Example use cases
Product review aspect triage
“I've got 120 labelled customer reviews for our headphones, each tagged as performance, appearance, value, or other. Train a quick local classifier on them and tell me which aspect each of these 10 new reviews falls into.”
Baseline model for review pipeline
“We need a cheap baseline classifier for our review pipeline — can you train a naive-Bayes model on these 80 labelled review records I'm providing and evaluate how well it predicts performance vs appearance vs value vs other on the same data?”
Classifying competitor review snippets
“Here are 30 labelled reviews from our competitors' product pages — train a local text model on them and classify these 5 new snippets I scraped today into performance, appearance, value, or other categories.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-local-classifier?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap, locally-run text classification baseline for review aspect detection without any hosted model, fine-tuning, or foundation model costs. Ideal for prototyping, quick evaluations, or offline-style batch labelling where up to 200 labelled examples are available and a naive-Bayes approach is sufficient. Prefer alternatives if you need high accuracy, large-scale training, or deep-learning-based classification.
Side effects
- Fewer than 2 labelled records supplied — minimum input not met
- More than 200 records provided — exceeds maxItems limit
- Record text exceeds 1000 characters — field length violation
- Unsupported aspect label used (not one of performance/appearance/value/other)
- More than 20 query texts supplied — exceeds query limit
- Empty or missing query_texts array — required field absent
- Insufficient class diversity in training data — classifier may not generalise
- Malformed record objects (missing id, text, or actual fields)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| query_texts | array |
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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