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Review Aspect Duplicate Audit – Exact Normalised
x402
Review Aspect Duplicate Audit – Exact Normalised is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Detects exact normalised duplicate text records across up to 200 labelled review-aspect entries (performance, appearance, value, other) and returns a duplicate audit report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Review aspect - Exact normalised duplicate audit: Exact normalised duplicate audit 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 exact normalised duplicate audit deliverable.
Output
A bounded duplicate audit deliverable identifying which of the supplied labelled text records are exact normalised duplicates, including the matching record pairs and their IDs, enabling the caller to remove redundant entries from their dataset.
Example use cases
ML training data deduplication check
“I'm about to train a review classifier and want to make sure my 120 labelled records don't have any duplicate texts after normalisation. Each record has an ID, the review text, and an aspect label like 'performance' or 'value' — can you audit them for exact normalised duplicates?”
Review dataset quality gate
“Before we publish this review benchmark dataset, can you check these 200 labelled review entries for exact normalised duplicate texts? They're tagged with aspects: performance, appearance, value, or other.”
Crowdsourced annotation dedup
“We collected review annotations from multiple annotators and suspect some texts were submitted more than once. Can you audit these 80 records — each with an ID, text, and an actual label of performance, appearance, value, or other — to find exact normalised duplicates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a cheap, fast, deterministic exact-normalised duplicate check on a small labelled review dataset (up to 200 records) with no model training or AI inference involved. Ideal for data quality gates before ML training, benchmark publication, or annotation deduplication where you only need exact-match detection rather than semantic similarity.
Side effects
- Fewer than 2 records supplied — minimum array size not met
- More than 200 records supplied — exceeds maximum batch size
- Invalid aspect label used (must be one of: performance, appearance, value, other)
- Record ID missing or exceeds 80-character limit
- Text field exceeds 1000-character limit per record
- Malformed JSON payload returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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