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Review Aspect Label Distribution
x402
Review Aspect Label Distribution 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).
Computes label distribution statistics across up to 200 labelled review-aspect text records (performance, appearance, value, other) using a local naive-Bayes baseline — no hosted model required.
Price / call$0.01
Success—
StatusUnknown
How this service works
Review aspect - Label distribution: Label distribution 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 label distribution deliverable.
Output
A bounded label distribution report showing the frequency and proportion of each review aspect label (performance, appearance, value, other) across the supplied records, computed locally with naive-Bayes baseline tooling — no hosted model involved.
Example use cases
Pre-training dataset balance check
“I've labelled 120 customer reviews with aspects — performance, appearance, value, or other — and I need to see how the labels are distributed before I start training. Can you run a label distribution report on this dataset?”
Detecting class imbalance in annotation batch
“My team just finished annotating a batch of 80 product reviews with aspect categories. Can you check if the labels are evenly spread across performance, appearance, value, and other, or if we're heavily skewed toward one category?”
Evaluating review aspect corpus quality
“I'm building a review aspect classifier and want to audit my 200 labelled samples — can you compute the label distribution across all four categories so I can decide if I need to collect more data for underrepresented aspects?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-label-balance?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost label distribution analysis on a small labelled review dataset (up to 200 records) before training or evaluating a text classifier, especially when you want local computation without invoking a hosted or foundation model. Ideal for dataset auditing, class imbalance detection, and annotation QA on review aspect tasks specifically scoped to performance, appearance, value, and other categories.
Side effects
- Fewer than 2 records supplied — minimum input not met
- More than 200 records supplied — exceeds maximum batch size
- Missing required fields (id, text, actual) on any record
- Invalid label value outside the allowed enum (performance, appearance, value, other)
- Record text exceeds 1000 character limit
- Payment not processed or insufficient funds (x402)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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