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Feedback Theme Exact Normalised Duplicate Audit
x402
Feedback Theme Exact Normalised Duplicate Audit 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).
Identifies exact normalised duplicate text records within a labelled feedback dataset of up to 200 entries across quality, price, delivery, and support themes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feedback theme - Exact normalised duplicate audit: Exact normalised duplicate audit for Feedback theme. 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 audit deliverable listing exact normalised duplicate records found within the submitted labelled feedback dataset, including which record IDs are duplicates of one another, enabling data cleaning before model training or evaluation.
Example use cases
Pre-training data deduplication check
“I'm about to train a feedback classifier and I want to make sure my 120 labelled records — split across quality, price, delivery, and support — don't have any exact normalised duplicates. Can you run a duplicate audit on them?”
Feedback survey data quality audit
“We collected customer feedback and labelled each response as quality, price, delivery, or support. Before we run any analysis, can you check the dataset for exact duplicate texts after normalisation? We have around 80 records.”
Evaluation dataset integrity check
“I need to validate the integrity of my feedback theme evaluation set — 60 records labelled across quality, price, delivery, and support — by identifying any exact normalised duplicates that might skew our metrics.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-feedback-theme-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap exact normalised duplicate check on a small labelled feedback dataset (up to 200 records) classified across the four themes: quality, price, delivery, and support. It is ideal for data cleaning before model training or evaluation when you don't need fuzzy or semantic similarity matching — only exact string matches after normalisation.
Side effects
- Fewer than 2 records submitted — minimum input not met
- More than 200 records submitted — exceeds maximum batch size
- Invalid or missing theme label — must be one of quality, price, delivery, support
- Record ID exceeds 80 character limit
- Record text exceeds 1000 character limit
- Malformed JSON input — missing required fields id, text, or actual
- Payment failure — 0.01 USDC not provided via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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