{"uid":"cap_wGpRe7utPyRwZCXy7CDSr","slug":"support-intent-classifier-prediction-error-records-75141770","name":"Support Intent Classifier — Prediction Error Records","description":"Support intent - Prediction error records: Prediction error records 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 prediction error records deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-support-intent-errors?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 dataset.","actual":"billing","predicted":"billing","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-1","text":"billing sample document number 1 for this supplied dataset.","actual":"billing","predicted":"billing","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-2","text":"billing sample document number 2 for this supplied dataset.","actual":"billing","predicted":"billing","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-1-0","text":"technical sample document number 0 for this supplied dataset.","actual":"technical","predicted":"technical","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-1","text":"technical sample document number 1 for this supplied 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 dataset.","actual":"account","predicted":"account","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_q1wuu1a8-aAPCtGkTYBLE","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":"Accepts up to 200 labelled support-intent text records with actual/predicted class pairs and probabilities, and returns prediction error analysis for a naive-Bayes support-intent classifier across billing, technical, account, and other categories.","exampleAgentPrompt":"I have 150 labelled support ticket records with actual intents (billing, technical, account, other), my model's predicted intents, and the 4-class probability vectors — can you run prediction error analysis on them and tell me where the classifier went wrong?","exampleUseCases":[{"title":"Audit billing intent misclassifications","prompt":"I've got 80 support tickets labelled as billing issues but my classifier keeps predicting some as technical or account — here are the record IDs, texts, actual labels, predicted labels, and probability scores. Can you run the prediction error analysis so I can see exactly which ones it got wrong?"},{"title":"Validate model before production deployment","prompt":"Before I deploy my support intent model to route live tickets, I want to run a prediction error check on my 200-record holdout set — I have the actual intents, predicted intents, and 4-class probabilities for each. Give me the error records so I can catch any systematic mistakes."},{"title":"Compare misclassification rates across support categories","prompt":"I'm trying to figure out which support intent category — billing, technical, account, or other — my naive-Bayes model struggles with most. I have 120 labelled records with predictions and probability vectors; can you compute the prediction error records so I can see the breakdown?"}],"resultDescription":"A bounded deliverable containing up to 200 prediction error records for the support intent classifier, identifying which records were misclassified, the actual vs predicted class labels (billing, technical, account, other), probability vectors, and associated error metadata for local evaluation.","failureModes":["More than 200 records submitted — input array exceeds maximum batch size","Missing required fields (id, text, actual, predicted, probabilities) on any record — validation error","Probabilities array does not contain exactly 4 values or values outside [0,1] range — schema rejection","Invalid enum value for actual or predicted class — rejected with schema error","Empty records array — no error records to compute","Payment of 0.01 USDC not received — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have a labelled dataset (up to 200 records) for a support intent classifier with four categories (billing, technical, account, other) and need to extract prediction error records for local evaluation. It is purpose-built for naive-Bayes baseline evaluation of support intent classification, not for retraining or hosted model inference. Prefer it over generic ML evaluation tools when you specifically need structured error records tied to support ticket intent categories at very low cost ($0.01 per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:44:18.237Z","isFirstParty":false,"canonicalSlug":"support-intent-classifier-prediction-error-records-75141770"}