{"uid":"cap_D6G3j0w0KsxTFBPCERpCt","slug":"ticket-priority-label-distribution-35cb5998","name":"Ticket Priority Label Distribution","description":"Ticket priority - Label distribution: Label distribution 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 label distribution deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-label-balance?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_U1ZcXuxb-Tnu-v1G9txmZ","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":"Computes the label distribution (class balance) across low, normal, and high priority labels in a supplied set of up to 200 labelled ticket text records.","exampleAgentPrompt":"I have 150 labelled support tickets — each tagged as low, normal, or high priority — and I want to know how evenly the labels are distributed across those three classes before I build a classifier. Can you compute the label distribution for this dataset?","exampleUseCases":[{"title":"Pre-training class imbalance check","prompt":"Before I train a ticket priority classifier, I need to check whether my 120 labelled tickets are balanced across low, normal, and high priority. Can you analyze the label distribution so I know if I need to oversample any class?"},{"title":"Support team dataset audit","prompt":"We have 80 recently labelled support tickets marked as low, normal, or high priority — can you give me a breakdown of how many fall into each category so I can report on labelling consistency to my team?"},{"title":"Naive-Bayes baseline dataset prep","prompt":"I'm setting up a naive-Bayes baseline for ticket priority classification and want to see the label balance in my 200-record dataset before I proceed. Can you compute the distribution of low, normal, and high labels?"}],"resultDescription":"A bounded label distribution report showing the count and/or proportion of records assigned to each ticket priority class (low, normal, high) across the supplied dataset of up to 200 labelled text records.","failureModes":["Fewer than 2 records supplied — minimum input requirement not met","More than 200 records supplied — exceeds maximum item limit","Missing required fields (id, text, or actual) on any record","Invalid enum value for 'actual' field (must be low, normal, or high)","Record ID exceeds 80 characters or text exceeds 1000 characters","Empty or malformed request body"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost label distribution summary for a ticket priority dataset with up to 200 records, especially before training or evaluating a classifier and wanting to diagnose class imbalance. It is ideal for small dataset audits where no hosted model or foundation-model training is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:35.462Z","isFirstParty":false,"canonicalSlug":"ticket-priority-label-distribution-35cb5998"}