{"uid":"cap_2j4aBgActDsE0SHLrR9vq","slug":"ticket-priority-local-text-classifier-7272b875","name":"Ticket Priority Local Text Classifier","description":"Ticket priority - Train local text baseline and classify: Train local text baseline and classify 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 train local text baseline and classify deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-local-classifier?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},"query_texts":{"type":"array","items":{"type":"string","default":"","maxLength":1000},"default":["low sample"],"maxItems":20,"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_Frac1fdM84bq1ZJGukzmr","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":"Trains a local naive-Bayes text classifier on up to 200 labelled ticket records and classifies new query texts into low, normal, or high priority","exampleAgentPrompt":"I have 50 labelled support tickets — some marked low, some normal, some high priority — can you train a quick naive-Bayes text classifier on them and then tell me what priority these three new tickets should be?","exampleUseCases":[{"title":"Support ticket triage automation","prompt":"I've got 120 historical support tickets already labelled as low, normal, or high priority. Can you train a local text classifier on them and predict the priority for these 5 new incoming tickets I just received?"},{"title":"Baseline ML model evaluation for helpdesk","prompt":"We want to see how well a simple text model can predict ticket priority from ticket descriptions. Here are 80 labelled examples — can you train a naive-Bayes baseline and show me how well it performs?"},{"title":"Quick prototype classifier for bug reports","prompt":"Can you build a lightweight priority classifier using these 30 labelled bug report texts — low, normal, or high — and then classify these two new bug reports for me?"}],"resultDescription":"Returns classification predictions (low, normal, or high priority) for each query text based on the locally trained naive-Bayes model, along with evaluation metrics from the training on the supplied labelled records.","failureModes":["Fewer than 2 labelled records supplied — minimum input not met","Records missing required fields (id, text, actual) — validation error","Priority label not one of low/normal/high — schema rejection","More than 200 records supplied — exceeds max input limit","More than 20 query texts supplied — exceeds query limit","Insufficient class diversity in training data — model may fail or perform poorly","Text too long (over 1000 characters per record) — truncation or rejection"],"whenToPreferThis":"Choose this endpoint when you need a fast, cheap, local naive-Bayes text classification baseline for ticket priority triage without requiring a hosted model or foundation model. Ideal for prototyping, evaluation, or lightweight automation on small datasets (up to 200 labelled records). Not suitable when you need deep learning, large-scale training, or a persistently hosted model.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T00:52:26.144Z","isFirstParty":false,"canonicalSlug":"ticket-priority-local-text-classifier-7272b875"}