{"uid":"cap_mPVZgYQ3SfxwCaG4iA9lx","slug":"support-intent-confidence-calibration-bins-1d82b05e","name":"Support Intent Confidence Calibration Bins","description":"Support intent - Confidence calibration bins: Confidence calibration bins for Support intent. 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-support-intent-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":["billing","technical","account","other"],"type":"string"},"predicted":{"enum":["billing","technical","account","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":"billing sample document number 0 for this supplied 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dataset.","actual":"technical","predicted":"technical","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-2","text":"technical sample document number 2 for this supplied dataset.","actual":"technical","predicted":"technical","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-2-0","text":"account sample document number 0 for this supplied dataset.","actual":"account","predicted":"account","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-1","text":"account sample document number 1 for this supplied dataset.","actual":"account","predicted":"account","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-2","text":"account sample document number 2 for this supplied 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confidence calibration bins for a support-intent classifier across billing, technical, account, and other categories using up to 200 labelled text records.","exampleAgentPrompt":"I have up to 200 labelled support ticket records with actual labels (billing, technical, account, or other), predicted labels, and predicted class probabilities — can you run confidence calibration bins on them to see how well-calibrated my model's confidence scores are?","exampleUseCases":[{"title":"Validating support router model calibration","prompt":"I've trained a support ticket routing model and want to check if the probabilities it outputs for billing, technical, account, and other categories are actually calibrated — can you compute the confidence calibration bins using these 150 labelled records with their actual labels, predicted labels, and probabilities?"},{"title":"Diagnosing overconfidence in intent classifier","prompt":"My naive-Bayes support intent classifier seems overconfident — it predicts 0.9+ probability but gets a lot wrong. Can you run calibration bins on these 200 records (each has the text, actual class, predicted class, and a 4-element probability array) so I can see where the bins diverge from perfect calibration?"},{"title":"Pre-deployment QA on support ML pipeline","prompt":"Before we ship our new support intent model to production, I need a confidence calibration bins report on 180 test records labeled across billing, technical, account, and other — here are the record IDs, texts, actual labels, predicted labels, and predicted probabilities for each."}],"resultDescription":"Returns a bounded confidence calibration bins deliverable: binned probability intervals with per-bin accuracy statistics, showing how closely predicted confidence scores match observed accuracy rates across the billing, technical, account, and other support intent classes.","failureModes":["Fewer than the minimum required records supplied — returns error or empty bins","Probabilities array does not sum to 1 or contains values outside [0,1] — validation error","More than 200 records supplied — input rejected or truncated","Class labels not from allowed enum (billing, technical, account, other) — schema validation error","Insufficient records per bin — sparse or unreliable calibration bin output"],"whenToPreferThis":"Choose this endpoint when you need to evaluate the probability calibration of a support-intent text classifier across the specific billing, technical, account, and other categories, especially with small local datasets (up to 200 records) and no need for a hosted model. Prefer it over generic ML evaluation APIs when you specifically need binned calibration output for support-domain intent classification.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:42:59.445Z","isFirstParty":false,"canonicalSlug":"support-intent-confidence-calibration-bins-1d82b05e"}