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Review Aspect Training Evaluation Text Overlap
x402
Review Aspect Training Evaluation Text Overlap 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).
Checks whether supplied evaluation texts overlap with labelled training records used to train a local naive-Bayes review-aspect classifier, detecting data leakage.
Price / call$0.01
Success—
StatusUnknown
How this service works
Review aspect - Training evaluation text overlap: Training evaluation text overlap 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 training evaluation text overlap deliverable.
Output
A bounded deliverable report indicating which evaluation texts overlap or share significant text similarity with the supplied labelled training records, flagging potential data leakage that could inflate classifier evaluation scores.
Example use cases
Pre-evaluation data leakage audit
“I'm about to score my review aspect classifier but I want to make sure none of my evaluation texts appear in my training set first — can you run an overlap check on these 50 labelled training records (performance, appearance, value, other) against my 20 evaluation sentences?”
Dataset hygiene check for review classifier
“I built a naive-Bayes model to classify product reviews by aspect and I want to verify my test set is clean — please check these labelled training records for any text overlap with my evaluation documents before I report accuracy numbers.”
Training contamination detection for NLP pipeline
“Before publishing results, I need to confirm there's no text leakage between my training examples and evaluation texts for the review aspect task — can you run the overlap analysis on these labelled records covering performance, appearance, value, and other categories?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-leakage?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit training/evaluation data integrity for the specific review aspect classification task (performance, appearance, value, other) using local dataset tools without any hosted model or foundation-model training. It is purpose-built for leakage detection in small-scale review-aspect datasets up to 200 records at very low cost ($0.01 USDC).
Side effects
- Fewer than 2 training records provided — minimum is 2 records
- No evaluation texts provided — at least 1 required
- Record text or evaluation text exceeds 1000 character limit
- More than 200 records or evaluation texts supplied — exceeds maxItems
- Missing required fields (id, text, actual) on any record
- Invalid actual label value — must be one of: performance, appearance, value, other
- Record id exceeds 80 character limit or is empty
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| evaluation_texts | array |
Tags
x402
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