{"uid":"cap__KWvXl7AjvA6SRCDnIlc1","slug":"ticket-priority-multiclass-log-loss-calculator-80ad4b95","name":"Ticket Priority Multiclass Log Loss Calculator","description":"Ticket priority - Multiclass log loss: Multiclass log loss 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 multiclass log loss deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-ticket-priority-log-loss?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}}},"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_AOwuu_JdbGXb2xu3DnWK6","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 multiclass log loss for a ticket priority classifier (low/normal/high) given up to 200 labelled records with predicted probabilities.","exampleAgentPrompt":"Calculate the multiclass log loss for my ticket priority classifier — I have 50 labelled support tickets, each tagged as low, normal, or high priority, with my model's predicted class and probability vector for each one.","exampleUseCases":[{"title":"Support ticket model evaluation","prompt":"I've got 120 support tickets with actual and predicted priorities (low, normal, or high) plus the probability arrays from my classifier — can you compute the multiclass log loss to see how well-calibrated it is?"},{"title":"Naive-Bayes baseline benchmarking","prompt":"Run log loss evaluation on these 80 labelled tickets to benchmark my naive-Bayes ticket priority model before I move to a more complex approach — I have the actual labels, predicted labels, and probability scores for each."},{"title":"Regression test for retrained classifier","prompt":"My team just retrained our ticket triage model and I want to verify it hasn't gotten worse — here are 200 tickets with ground truth priorities and the new model's predicted probabilities, please compute the multiclass log loss."}],"resultDescription":"Returns a bounded multiclass log loss deliverable — a scalar loss value computed across all supplied records with actual labels vs. predicted probability distributions for the three ticket priority classes (low, normal, high). Lower values indicate better-calibrated probability estimates.","failureModes":["Fewer than 2 records supplied — minimum record count not met","Probabilities array does not have exactly 3 elements per record","Probabilities do not sum to approximately 1.0 — malformed distribution","Invalid actual or predicted label outside enum [low, normal, high]","Record ID exceeds 80-character limit or is empty","More than 200 records supplied — exceeds maximum batch size","Payment of 0.01 USDC not included or rejected"],"whenToPreferThis":"Choose this endpoint when you need a fast, affordable ($0.01) evaluation of a ticket priority classifier's probability calibration using multiclass log loss on a small labelled dataset (up to 200 records). It is best suited for offline evaluation, regression testing after retraining, or benchmarking simple baselines — not for training models or handling large-scale datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:41.450Z","isFirstParty":false,"canonicalSlug":"ticket-priority-multiclass-log-loss-calculator-80ad4b95"}