{"uid":"cap_JpTdy1spba-QtH1Wj7B-7","slug":"language-routing-top-k-label-coverage-c938c756","name":"Language Routing Top-k Label Coverage","description":"Language routing - Top-k label coverage: Top-k label coverage 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 top-k label coverage deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-top-k?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"k":{"type":"integer","default":2,"maximum":4,"minimum":1},"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_Tz7TgxkUx7CiEy8wZY10h","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 top-k label coverage metrics for a language routing classifier given up to 200 labelled text records with predicted probabilities.","exampleAgentPrompt":"I have 50 labelled text samples with actual and predicted language labels (english, french, spanish, other) plus the 4-class probability scores for each — can you compute the top-2 label coverage to see how often the correct language falls within the top 2 predictions?","exampleUseCases":[{"title":"Validate language router before deployment","prompt":"I'm about to deploy a language routing pipeline and want to confirm quality — I have 120 records each with actual language, predicted label, and a 4-class probability array. Can you calculate the top-2 label coverage so I know if the correct language is within the two most confident predictions at least 95% of the time?"},{"title":"Compare k values for routing threshold tuning","prompt":"I have 80 labelled documents for a language classifier — actual labels are english, french, spanish, or other — with predicted labels and probability scores. Please compute the top-1 label coverage so I can see how precise the best guess is before deciding whether to route with k=1 or k=2."},{"title":"Audit misclassified French documents","prompt":"We have 60 French text samples that our language router struggled with — I've got the actual labels all set to french, the predicted labels, and the 4-class probability arrays. Can you run top-3 label coverage to check if the correct language at least shows up in the three highest-probability predictions?"}],"resultDescription":"Returns a bounded top-k label coverage deliverable: the proportion of supplied records for which the true language label appears within the top-k ranked predicted probabilities, given the specified k (1–4) and up to 200 labelled records with actual labels, predicted labels, and 4-class probability arrays.","failureModes":["More than 200 records supplied — request will be rejected or truncated","Probability arrays with fewer or more than 4 elements per record","k value outside the 1–4 range","Missing required fields (id, text, actual, predicted, probabilities) in any record","Label values outside the allowed enum (english, french, spanish, other)","Malformed JSON payload","Payment failure via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need to evaluate a language routing classifier (English/French/Spanish/other) using top-k label coverage on a small labelled dataset of up to 200 records and already have predicted probability arrays. It is ideal for quick, low-cost offline evaluation without needing a hosted model or foundation model training. Prefer this over general-purpose ML evaluation tools when working specifically within the 4-class language routing domain and when per-call cost needs to stay at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:30.447Z","isFirstParty":false,"canonicalSlug":"language-routing-top-k-label-coverage-c938c756"}