{"uid":"cap_TbPal-CCUTcU7LljeETYp","slug":"ticket-priority-classifier-low-confidence-review-queue-bff40ca0","name":"Ticket Priority Classifier – Low-Confidence Review Queue","description":"Ticket priority - Low-confidence review queue: Low-confidence review queue 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 low-confidence review queue deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-review-queue?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual","predicted","probabilities"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["low","normal","high"],"type":"string"},"predicted":{"enum":["low","normal","high"],"type":"string"},"probabilities":{"type":"array","items":{"type":"number","default":0,"maximum":1,"minimum":0},"default":[],"maxItems":3,"minItems":3}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"low sample document number 0 for this supplied dataset.","actual":"low","predicted":"low","probabilities":[0.8,0.1,0.1]},{"id":"example-0-1","text":"low sample document number 1 for this supplied dataset.","actual":"low","predicted":"low","probabilities":[0.8,0.1,0.1]},{"id":"example-0-2","text":"low sample document number 2 for this supplied dataset.","actual":"low","predicted":"low","probabilities":[0.8,0.1,0.1]},{"id":"example-1-0","text":"normal sample document number 0 for this supplied dataset.","actual":"normal","predicted":"normal","probabilities":[0.1,0.8,0.1]},{"id":"example-1-1","text":"normal sample document number 1 for this supplied dataset.","actual":"normal","predicted":"normal","probabilities":[0.1,0.8,0.1]},{"id":"example-1-2","text":"normal sample document number 2 for this supplied dataset.","actual":"normal","predicted":"normal","probabilities":[0.1,0.8,0.1]},{"id":"example-2-0","text":"high sample document number 0 for this supplied dataset.","actual":"high","predicted":"high","probabilities":[0.1,0.1,0.8]},{"id":"example-2-1","text":"high sample document number 1 for this supplied dataset.","actual":"high","predicted":"high","probabilities":[0.1,0.1,0.8]},{"id":"example-2-2","text":"high sample document number 2 for this supplied dataset.","actual":"high","predicted":"high","probabilities":[0.1,0.1,0.8]}],"maxItems":200,"minItems":2},"minimum_confidence":{"type":"number","default":0.7,"maximum":1,"minimum":0}}},"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_FBoQ6kSZex5Ct3r5ArRoa","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":"Identifies low-confidence ticket priority predictions (low/normal/high) from a supplied batch of labelled records and returns a review queue of uncertain cases for human inspection.","exampleAgentPrompt":"I have 50 labelled support ticket records with predicted priorities (low, normal, high) and probability scores from my classifier — can you run them through the low-confidence review queue and flag any tickets where the model's confidence falls below 0.6 so a human can check them?","exampleUseCases":[{"title":"Support triage model audit","prompt":"I've got 120 support tickets my naive-Bayes priority classifier processed, each with actual and predicted labels and probabilities. Can you pull out all the ones where the model was less than 65% confident so our QA team can review them before we go live?"},{"title":"Catching mislabelled training data","prompt":"Here are 80 ticket records I want to use for training — they all have predicted priority labels and probability scores. Can you flag the ones where the classifier's confidence is below 0.7? I want to clean up uncertain labels before I retrain."},{"title":"Monitoring live classifier uncertainty","prompt":"My ticket priority model just scored 200 new tickets and gave each one probabilities across low, normal, and high. Can you send back a review queue of everything below 0.55 confidence so I know which ones need a human second opinion?"}],"resultDescription":"Returns a filtered set of up to 200 submitted ticket records identified as low-confidence, including their IDs, original text, actual and predicted priority labels, and per-class probabilities, enabling targeted human review of uncertain classifier outputs.","failureModes":["Fewer than 2 records submitted — rejected with validation error","More than 200 records submitted — rejected, batch size exceeded","Probabilities array not length 3 or values outside [0,1] — schema validation failure","Missing required fields (id, text, actual, predicted, probabilities) — request rejected","All records exceed confidence threshold — empty review queue returned","Minimum confidence threshold not set — may default, returning unexpected result set"],"whenToPreferThis":"Choose this endpoint when you have a batch of ticket priority predictions with per-class probabilities from a local or naive-Bayes classifier and need to surface uncertain cases for human review. It is purpose-built for the ticket priority domain (low/normal/high labels) and operates without requiring a hosted or foundation model. Prefer it over general-purpose model evaluation tools when you specifically need a low-confidence review queue scoped to ticket triage workflows at low cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:29.442Z","isFirstParty":false,"canonicalSlug":"ticket-priority-classifier-low-confidence-review-queue-bff40ca0"}