{"uid":"cap_MChfvnnrxUbUaRYlQj7xp","slug":"review-aspect-confidence-calibration-bins-804c8b70","name":"Review Aspect Confidence Calibration Bins","description":"Review aspect - Confidence calibration bins: Confidence calibration bins for Review aspect. 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 confidence calibration bins deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-calibration?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":["performance","appearance","value","other"],"type":"string"},"predicted":{"enum":["performance","appearance","value","other"],"type":"string"},"probabilities":{"type":"array","items":{"type":"number","default":0,"maximum":1,"minimum":0},"default":[],"maxItems":4,"minItems":4}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"performance sample document number 0 for this supplied dataset.","actual":"performance","predicted":"performance","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-1","text":"performance sample document number 1 for this supplied dataset.","actual":"performance","predicted":"performance","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-2","text":"performance sample document number 2 for this supplied dataset.","actual":"performance","predicted":"performance","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-1-0","text":"appearance sample document number 0 for this supplied dataset.","actual":"appearance","predicted":"appearance","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-1","text":"appearance sample document number 1 for this supplied dataset.","actual":"appearance","predicted":"appearance","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-2","text":"appearance sample document number 2 for this supplied dataset.","actual":"appearance","predicted":"appearance","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-2-0","text":"value sample document number 0 for this supplied dataset.","actual":"value","predicted":"value","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-1","text":"value sample document number 1 for this supplied dataset.","actual":"value","predicted":"value","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-2","text":"value sample document number 2 for this supplied dataset.","actual":"value","predicted":"value","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-3-0","text":"other sample document number 0 for this supplied dataset.","actual":"other","predicted":"other","probabilities":[0.06666666666666667,0.06666666666666667,0.06666666666666667,0.8]},{"id":"example-3-1","text":"other sample document number 1 for this supplied dataset.","actual":"other","predicted":"other","probabilities":[0.06666666666666667,0.06666666666666667,0.06666666666666667,0.8]},{"id":"example-3-2","text":"other sample document number 2 for this supplied dataset.","actual":"other","predicted":"other","probabilities":[0.06666666666666667,0.06666666666666667,0.06666666666666667,0.8]}],"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_3XJI5KOoJ5Be9J-RwcSXM","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 confidence calibration bins for a review aspect classifier, evaluating how well predicted probabilities match actual outcomes across performance, appearance, value, and other categories.","exampleAgentPrompt":"Can you compute confidence calibration bins for my review aspect classifier? I have 50 labelled records with actual and predicted labels across performance, appearance, value, and other categories, plus the 4-class probability scores for each — I want to see how well my model's confidence aligns with its real accuracy.","exampleUseCases":[{"title":"E-commerce review classifier calibration audit","prompt":"I trained a naive-Bayes model to classify product reviews into performance, appearance, value, or other aspects, and I want to check if the confidence scores it outputs are actually trustworthy — can you run calibration bins on these 80 labelled records with their predicted probabilities?"},{"title":"Model comparison via calibration quality","prompt":"I have two review aspect classifiers and I want to compare which one is better calibrated — here are 120 records with actual labels, predicted labels, and probability vectors for the first model; give me the confidence calibration bins so I can compare against my second model."},{"title":"Pre-deployment confidence reliability check","prompt":"Before I ship this review aspect classifier that tags customer feedback as performance, appearance, value, or other, I need to verify its probability outputs are reliable — can you compute calibration bins from these 200 labelled test records with their 4-class probability scores?"}],"resultDescription":"A set of confidence calibration bins showing how predicted probability ranges correspond to actual observed accuracy for the review aspect classifier (performance, appearance, value, other). Each bin groups records by predicted confidence level and reports the fraction of correct predictions within that bin, revealing whether the model is overconfident, underconfident, or well-calibrated.","failureModes":["Records array empty or missing — returns error requiring at least some labelled records","Probability arrays not summing to 1 or containing values outside [0,1] — validation error","More than 200 records supplied — rejected due to bounded input limit","Probabilities array not exactly 4 elements — schema validation failure","Actual or predicted labels not in allowed enum values (performance, appearance, value, other) — validation error","Missing required fields (id, text, actual, predicted, probabilities) on any record — rejection"],"whenToPreferThis":"Choose this endpoint when you need to evaluate the confidence calibration of a review aspect classifier specifically categorizing text into performance, appearance, value, or other aspects. It is best suited for small-scale evaluation (up to 200 records) using local naive-Bayes style classifiers without requiring hosted model infrastructure. Prefer this over generic calibration tools when your use case is specifically product/service review aspect classification and you want a bounded, low-cost ($0.01 USDC) calibration assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:59.906Z","isFirstParty":false,"canonicalSlug":"review-aspect-confidence-calibration-bins-804c8b70"}