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Release Change Duplicate Audit – Exact Normalised
x402
Release Change 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 duplicates among up to 200 labelled release-change text records (feature, fix, documentation, maintenance).
Price / call$0.01
Success—
StatusUnknown
How this service works
Release change - Exact normalised duplicate audit: Exact normalised duplicate audit for Release change. 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 structured audit report identifying which of the submitted labelled text records are exact normalised duplicates of one another, including the record IDs involved, duplicate groupings, and a count of duplicate instances found within the batch.
Example use cases
Pre-release changelog deduplication check
“Before we cut the release, can you run a duplicate audit on these 80 changelog entries? They're labelled as feature, fix, or maintenance — I want to catch any repeated descriptions before they go out.”
CI pipeline data quality gate
“I've got 120 labelled change records from our automated CI pipeline — run an exact normalised duplicate audit on them so I can flag any redundant entries before they get merged into the release notes.”
Release note dataset evaluation
“Can you check this batch of 150 release note records — mix of feature, fix, documentation, and maintenance labels — and tell me which ones are exact normalised duplicates so I can clean the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-release-change-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) exact normalised duplicate check on a batch of labelled release change records (up to 200). It is purpose-built for software changelog and release note datasets with four specific change-type labels. Prefer it over general-purpose deduplication tools when your data is already labelled with feature/fix/documentation/maintenance categories and you want a bounded, deterministic audit without invoking a large language model or foundation model.
Side effects
- Fewer than 2 records submitted — minimum input not met
- More than 200 records submitted — batch size exceeded
- Missing required fields (id, text, or actual) on any record — validation error
- Invalid label value for 'actual' field (must be feature, fix, documentation, or maintenance)
- Text field exceeds 1000 characters — truncation or rejection
- Payment not completed — x402 payment required before result is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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