{"uid":"cap_jNAT2RZZDbGFOH62Pqzm0","slug":"ticket-priority-grouped-dataset-split-34689dab","name":"Ticket Priority Grouped Dataset Split","description":"Ticket priority - Grouped dataset split: Grouped dataset split 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 grouped dataset split deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-dataset-split?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_f33_OLdPMjB4InQAwcLcw","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":"Splits a labelled ticket-priority dataset (up to 200 records) into grouped train/test partitions for local ML evaluation and naive-Bayes baseline benchmarking.","exampleAgentPrompt":"Split my 90 labelled support ticket records — each tagged as low, normal, or high priority — into a grouped train/test dataset partition so I can evaluate a naive-Bayes baseline classifier.","exampleUseCases":[{"title":"Support team ML baseline evaluation","prompt":"I have 150 support tickets already labelled as low, normal, or high priority. Can you split them into a grouped dataset partition so I can run a naive-Bayes baseline and see how well the labels hold up?"},{"title":"Ticket triage model benchmarking","prompt":"Here are 80 customer support tickets tagged by priority — split them into grouped train and test sets so I can benchmark a ticket triage classifier locally."},{"title":"Balanced class split for priority classifier","prompt":"I need a grouped dataset split for my ticket priority data — I've got about 60 records spread across low, normal, and high priority labels. Can you partition them so each priority class is represented in the split?"}],"resultDescription":"A bounded grouped dataset split deliverable: the supplied labelled ticket records (up to 200, each with id, text, and actual priority label of low/normal/high) partitioned into grouped train and test sets, suitable for local ML evaluation and naive-Bayes baseline benchmarking. No hosted model or foundation-model training is included.","failureModes":["Fewer than 2 records supplied — minimum input not met","More than 200 records supplied — exceeds maxItems limit","Missing required fields (id, text, or actual) on any record","Invalid priority label value (must be 'low', 'normal', or 'high')","Record text exceeds 1000 character limit","Record ID exceeds 80 character limit or is empty","Payment of 0.01 USDC not completed via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have a small labelled dataset (up to 200 records) of support tickets tagged with low/normal/high priority and need a quick grouped train/test split for local evaluation or naive-Bayes baseline benchmarking — without requiring a hosted model or foundation-model fine-tuning pipeline. Best suited for lightweight, local ML workflows at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:38.061Z","isFirstParty":false,"canonicalSlug":"ticket-priority-grouped-dataset-split-34689dab"}