{"uid":"cap_965w5h7ffC3HXrkg2Dd6a","slug":"ticket-priority-training-evaluation-text-overlap-e8e92d53","name":"Ticket Priority Training Evaluation Text Overlap","description":"Ticket priority - Training evaluation text overlap: Training evaluation text overlap 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 training evaluation text overlap deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-leakage?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},"evaluation_texts":{"type":"array","items":{"type":"string","default":"","maxLength":1000},"default":["low sample document number 0 for this supplied dataset.","A separate supplied document."],"maxItems":200,"minItems":1}}},"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_LAymaJW-J9SUs-S9jT9wY","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":"Checks how much text overlap exists between labelled training records and evaluation texts for a ticket priority classifier, helping detect data leakage.","exampleAgentPrompt":"Check my ticket priority training data for text overlap with the evaluation set — I have 9 labelled records (3 low, 3 normal, 3 high) and 2 evaluation texts; flag any leakage between them.","exampleUseCases":[{"title":"Audit ticket classifier training data","prompt":"I'm training a ticket priority model and want to make sure my evaluation texts haven't leaked into my training set. Here are my labelled training records with low, normal, and high priority examples — can you check how much text overlap there is with my evaluation texts?"},{"title":"Pre-launch data leakage check","prompt":"Before we deploy our support ticket priority classifier, run a text overlap check between our 150 labelled training examples and the 50 evaluation texts we've held out — I need to confirm there's no contamination."},{"title":"Dataset quality validation for ML pipeline","prompt":"We're building a naive-Bayes ticket prioritization model and want a bounded overlap evaluation — send these labelled ticket texts tagged as low, normal, or high priority through the training evaluation text overlap check against our test phrases."}],"resultDescription":"Returns a bounded deliverable reporting the degree of text overlap between the supplied labelled training records and the evaluation texts, including overlap metrics and leakage indicators to help identify data contamination in the ticket priority classification dataset.","failureModes":["Fewer than 2 records supplied — minimum record count not met","More than 200 records or evaluation texts supplied — max item limit exceeded","Missing required fields (id, text, actual) on any record — validation error","Text exceeding 1000 characters per record — field length violation","Invalid priority label outside enum (low/normal/high) — schema rejection","Empty evaluation_texts array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, local, bounded check for text overlap or data leakage between labelled ticket priority training records and evaluation texts, without requiring a hosted model or foundation-model infrastructure. Ideal for pre-training audits, dataset quality validation, and small-scale naive-Bayes ML pipelines focused on support ticket prioritization.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T06:56:53.946Z","isFirstParty":false,"canonicalSlug":"ticket-priority-training-evaluation-text-overlap-e8e92d53"}