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Review Aspect Classifier – Macro, Micro & Weighted Aggregate Scores
x402
Review Aspect Classifier – Macro, Micro & Weighted Aggregate Scores 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).
Computes macro, micro, and weighted aggregate classification scores for a review aspect classifier (performance, appearance, value, other) given up to 200 labelled text records with actual and predicted labels.
Price / call$0.01
Success—
StatusUnknown
How this service works
Review aspect - Macro micro and weighted scores: Macro micro and weighted scores 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 macro micro and weighted scores deliverable.
Output
Returns macro, micro, and weighted aggregate classification scores (e.g. precision, recall, F1) computed across up to 200 supplied labelled records with actual vs predicted review aspect labels (performance, appearance, value, other).
Example use cases
E-commerce review model benchmarking
“I've run my review aspect classifier on 120 product reviews tagged as performance, appearance, value, or other — can you compute the macro, micro, and weighted aggregate scores so I can see how well the predictions match the ground truth?”
Comparing two classifier iterations
“I want to evaluate a new version of my review aspect model against labelled ground truth. I have 80 records with actual and predicted labels across performance, appearance, value, and other — give me the macro, micro, and weighted scores so I can compare to the previous run.”
NLP course assignment evaluation
“I built a naive-Bayes review aspect classifier for a project and need to report macro, micro, and weighted F1 scores. Can you compute those for my 30 labelled test records where actual and predicted labels are performance, appearance, value, or other?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-aggregate-scores?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, on-demand aggregate classification metrics (macro, micro, weighted) for a review aspect classifier without spinning up a hosted model or foundation-model infrastructure. Ideal for small datasets up to 200 records where cost sensitivity matters ($0.01 per call) and the label space is fixed to performance, appearance, value, and other.
Side effects
- More than 200 records submitted — exceeds batch limit
- Missing required fields (id, text, actual, predicted) on any record
- Invalid enum value for actual or predicted (must be performance, appearance, value, or other)
- Empty records array returns no meaningful scores
- Payment failure via x402 protocol blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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