{"uid":"cap_z7IAGE1ZPCAwMxwu783Qf","slug":"translation-delivery-analytics-two-measure-correlation-missing-value-b8c1312d","name":"Translation Delivery Analytics — Two-Measure Correlation + Missing-Value Fill","description":"Translation delivery — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied translation delivery records (translated_words, source_words). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-writing-04-184?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","translated_words","source_words"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"translated_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_words":1,"document_group":"group-a","translated_words":10},{"date":"2026-10-02","row_id":"row-2","source_words":2,"document_group":"group-b","translated_words":20},{"date":"2026-10-03","row_id":"row-3","source_words":3,"document_group":"group-a","translated_words":15},{"date":"2026-10-04","row_id":"row-4","source_words":4,"document_group":"group-b","translated_words":30}],"maxItems":200,"minItems":1},"field":{"enum":["translated_words","source_words"],"type":"string","default":"translated_words"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_k5fs77-UJxsD8-bqpKjDK","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 correlation between translated_words and source_words, and fills missing values using zero/mean/median, for up to 200 translation delivery records.","exampleAgentPrompt":"I have 50 rows of translation delivery data with translated_words and source_words columns — some values are missing. Can you run a correlation analysis between those two measures and fill missing translated_words values using the median, grouped by document_group and date?","exampleUseCases":[{"title":"Localization quality correlation check","prompt":"I've got 120 rows of translation job records with source_words and translated_words — can you compute the correlation between those two metrics and flag which rows had nulls filled using the mean method?"},{"title":"Missing data imputation for translation logs","prompt":"My translation delivery export has some null source_words entries. Can you fill those gaps using zero imputation and also give me the correlation report between source and translated word counts across all 80 rows?"},{"title":"Document group throughput analysis","prompt":"I have translation records across two document groups over the past month — about 150 rows — and I want to know how tightly source_words and translated_words correlate. Please also fill any missing translated_words values using the median before computing."}],"resultDescription":"Returns two analytical reports: (1) a Pearson correlation coefficient between translated_words and source_words across the supplied rows, and (2) a dataset with explicit missing values filled using the chosen method (zero, mean, or median). Up to 200 rows processed per call. No external lookups or predictions are made.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, document_group) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unsupported fill method value outside enum [zero, mean, median] — rejected","All values in a measure are null — correlation computation returns undefined/NaN","Fewer than 2 valid numeric rows — correlation cannot be computed"],"whenToPreferThis":"Use this endpoint when you have tabular translation delivery records with translated_words and source_words columns and need both a correlation measure between them and a cleaned dataset with missing values imputed — all in a single, low-cost call. Ideal for localization pipeline QA, translation throughput analysis, or pre-processing data for downstream ML. Prefer this over general-purpose statistical tools when you want a combined correlation + imputation report with a flat per-call price and no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:16.620Z","isFirstParty":false,"canonicalSlug":"translation-delivery-analytics-two-measure-correlation-missing-value-b8c1312d"}