{"uid":"cap_gPikiCnrlUtntk-ve1khe","slug":"transcript-preparation-trailing-mean-series-explicit-missing-value-fill-13d5312b","name":"Transcript Preparation — Trailing Mean Series + Explicit Missing-Value Fill","description":"Transcript preparation — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied transcript preparation records (transcribed_minutes, source_minutes). 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-12-154?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","transcribed_minutes","source_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"source_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"transcribed_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","source_minutes":1,"transcribed_minutes":10},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","source_minutes":2,"transcribed_minutes":20},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","source_minutes":3,"transcribed_minutes":15},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","source_minutes":4,"transcribed_minutes":30}],"maxItems":200,"minItems":1},"field":{"enum":["transcribed_minutes","source_minutes"],"type":"string","default":"transcribed_minutes"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"window":{"type":"integer","default":2,"maximum":200,"minimum":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_zaukXltbwSxWIWvzxqQgf","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 a trailing mean time series and fills missing values in transcript preparation records (transcribed_minutes, source_minutes) for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of transcript records with transcribed_minutes and source_minutes by date and document group — can you compute a trailing mean series with a window of 5 and fill any missing transcribed_minutes values using the median?","exampleUseCases":[{"title":"Smoothing noisy transcription duration logs","prompt":"I've got a dataset of 80 transcript records across several document groups — can you run a trailing mean with a window of 3 on the transcribed_minutes field and fill any nulls using the mean?"},{"title":"Imputing missing source minutes for QA report","prompt":"My source_minutes column has a bunch of nulls in these 120 transcript prep rows — please fill the missing values using zero and also give me the trailing mean series with a window of 4."},{"title":"Preparing transcript data for billing reconciliation","prompt":"I need to clean up 200 rows of transcription data before we reconcile billing — compute the trailing mean series with window 10 on transcribed_minutes and fill any missing values using median imputation."}],"resultDescription":"Returns two analytical reports: (1) a trailing mean time series computed over the selected field (transcribed_minutes or source_minutes) using the specified rolling window, and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups.","failureModes":["Input array empty or exceeds 200 rows — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","window parameter outside 2–200 range — rejected","Unknown fill method specified — enum validation error","All values null for selected field — mean/median fill may be undefined","Missing required fields (row_id, date, transcribed_minutes, source_minutes) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both trailing mean smoothing and missing-value imputation on transcript preparation data in a single low-cost call. It is ideal for offline batch preparation of transcription records before downstream analysis or billing, when no live lookup or prediction is required and your dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:06:45.079Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-trailing-mean-series-explicit-missing-value-fill-13d5312b"}