{"uid":"cap_8xDBwPBgNTfVzJpbPoBI4","slug":"ticket-priority-duplicate-audit-53d23301","name":"Ticket Priority Duplicate Audit","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-duplicates?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["low","normal","high"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"low sample document number 0 for this supplied dataset.","actual":"low"},{"id":"example-0-1","text":"low sample document number 1 for this supplied dataset.","actual":"low"},{"id":"example-0-2","text":"low sample document number 2 for this supplied dataset.","actual":"low"},{"id":"example-1-0","text":"normal sample document number 0 for this supplied dataset.","actual":"normal"},{"id":"example-1-1","text":"normal sample document number 1 for this supplied dataset.","actual":"normal"},{"id":"example-1-2","text":"normal sample document number 2 for this supplied dataset.","actual":"normal"},{"id":"example-2-0","text":"high sample document number 0 for this supplied dataset.","actual":"high"},{"id":"example-2-1","text":"high sample document number 1 for this supplied dataset.","actual":"high"},{"id":"example-2-2","text":"high sample document number 2 for this supplied dataset.","actual":"high"}],"maxItems":200,"minItems":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_L6BDKSmosa3OS4ZUfr_B6","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Audits up to 200 labelled ticket-priority text records for exact normalised duplicates across low/normal/high priority classes.","exampleAgentPrompt":"Check my ticket priority training data for exact normalised duplicates — I've got about 150 labelled records across low, normal, and high priority, and I need to know which ones are repeated before I train anything.","exampleUseCases":[{"title":"Pre-training data deduplication check","prompt":"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?"},{"title":"Support team label consistency audit","prompt":"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."},{"title":"Dataset quality report before ML evaluation","prompt":"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?"}],"resultDescription":"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).","failureModes":["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)"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:52:20.423Z","isFirstParty":false,"canonicalSlug":"ticket-priority-duplicate-audit-53d23301"}