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Ticket Priority Duplicate Audit
x402
Ticket Priority 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).
Audits up to 200 labelled ticket-priority text records for exact normalised duplicates across low/normal/high priority classes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket priority - Exact normalised duplicate audit: Exact normalised duplicate audit for Ticket priority. 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 exact normalised duplicate records within the supplied set of up to 200 labelled ticket-priority texts, showing which record IDs share identical normalised content across or within priority classes (low/normal/high).
Example use cases
Pre-training data deduplication check
“I'm about to train a ticket priority classifier and want to make sure my dataset is clean — can you audit these 120 labelled records across low, normal, and high priority for any exact normalised duplicates?”
Support team label consistency audit
“Our support team has been labelling tickets manually and I suspect some identical ticket descriptions got tagged multiple times. Run a duplicate audit on these 80 records with their low/normal/high labels and tell me which ones match exactly.”
Dataset quality report before ML evaluation
“Before we run our baseline evaluation on ticket priority classification, can you scan these 200 labelled ticket text records and flag any exact normalised duplicates across the low, normal, and high priority groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a cheap, fast, deterministic exact-match duplicate audit on a small labelled dataset (up to 200 records) for ticket priority classification — particularly when you want a local, non-hosted analysis with no foundation model involved. Ideal for pre-training data hygiene, dataset deduplication before ML evaluation, or auditing manually labelled support ticket data.
Side effects
- Fewer than 2 records supplied returns a validation error
- Records exceeding 200 items are rejected (maxItems constraint)
- Text fields exceeding 1000 characters per record cause rejection
- Missing required fields (id, text, actual) on any record cause request failure
- Invalid priority label (not low/normal/high) causes schema validation failure
- Empty or whitespace-only IDs are rejected (minLength:1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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