{"uid":"cap_23jRghpyQX9vAuW3dMAod","slug":"language-routing-prediction-error-records-e2149efc","name":"Language Routing Prediction Error Records","description":"Language routing - Prediction error records: Prediction error records for Language routing. 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-language-routing-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":["english","french","spanish","other"],"type":"string"},"predicted":{"enum":["english","french","spanish","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":"english sample document number 0 for this supplied dataset.","actual":"english","predicted":"english","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-1","text":"english sample document number 1 for this supplied dataset.","actual":"english","predicted":"english","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-0-2","text":"english sample document number 2 for this supplied dataset.","actual":"english","predicted":"english","probabilities":[0.8,0.06666666666666667,0.06666666666666667,0.06666666666666667]},{"id":"example-1-0","text":"french sample document number 0 for this supplied dataset.","actual":"french","predicted":"french","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-1","text":"french sample document number 1 for this supplied dataset.","actual":"french","predicted":"french","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-1-2","text":"french sample document number 2 for this supplied dataset.","actual":"french","predicted":"french","probabilities":[0.06666666666666667,0.8,0.06666666666666667,0.06666666666666667]},{"id":"example-2-0","text":"spanish sample document number 0 for this supplied dataset.","actual":"spanish","predicted":"spanish","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-1","text":"spanish sample document number 1 for this supplied dataset.","actual":"spanish","predicted":"spanish","probabilities":[0.06666666666666667,0.06666666666666667,0.8,0.06666666666666667]},{"id":"example-2-2","text":"spanish sample document number 2 for this supplied dataset.","actual":"spanish","predicted":"spanish","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_np01uPWnwskXAzNKNchtm","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 prediction error records for a language routing classifier (English/French/Spanish/other) given up to 200 labelled text records with actual and predicted labels plus class probabilities.","exampleAgentPrompt":"I have 50 labelled text records with their actual languages (english, french, spanish, or other), predicted languages, and class probability arrays from my language routing model — can you run prediction error analysis on them and give me back the error records so I can see where the model is going wrong?","exampleUseCases":[{"title":"Audit misclassified multilingual support tickets","prompt":"I have 120 customer support messages labelled with their true language and what my routing model predicted, plus the 4-class probability scores for each — run prediction error records on them so I can see which tickets were misrouted."},{"title":"Benchmark naive-Bayes language detector on test set","prompt":"Here are 80 labelled text samples I used to test my naive-Bayes language classifier — actual language, predicted language, and the probabilities for english, french, spanish, and other. Can you compute the prediction error records so I know where it's failing?"},{"title":"Validate language routing before production deployment","prompt":"Before I push this language router to production, I want to evaluate it on 150 held-out labelled examples with their ground-truth and predicted language labels and probability arrays — can you give me the prediction error records so I can catch systematic mistakes?"}],"resultDescription":"A bounded deliverable of prediction error records for each submitted text record, detailing where the language routing classifier made incorrect predictions, including per-record error information derived from the supplied actual labels, predicted labels, and class probabilities for english, french, spanish, and other.","failureModes":["More than 200 records submitted — exceeds the per-call limit","Missing required fields (id, text, actual, predicted, probabilities) on any record","Probabilities array does not contain exactly 4 values or values outside [0,1]","Invalid enum value for actual or predicted (must be english, french, spanish, or other)","Empty records array submitted","Record ID exceeds 80 characters or is empty","Payment failure via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need lightweight, fast evaluation of a language routing classifier (English/French/Spanish/other) on a small labelled dataset (up to 200 records) without access to a hosted model or foundation-model training pipeline. Ideal for local model auditing, naive-Bayes baseline benchmarking, or pre-deployment validation of a language detection step in a multilingual routing workflow.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:47.862Z","isFirstParty":false,"canonicalSlug":"language-routing-prediction-error-records-e2149efc"}