{"uid":"cap_59mCJLStMw1hul9bEqdDE","slug":"transcript-preparation-numeric-interval-filter-explicit-missing-value-d154a146","name":"Transcript Preparation — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Transcript preparation — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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-12-135?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_PlKaDqNbcQ9f8im3bmFDI","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":"Filters transcript minute records to a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Clean my 150 transcript preparation rows — filter transcribed_minutes to the range 0 to 500, and fill any missing transcribed_minutes values using median imputation.","exampleUseCases":[{"title":"Cleaning transcription logs before reporting","prompt":"I have 80 transcript records with document_group and transcribed_minutes columns — filter out any values below 0 or above 300, and fill the missing transcribed_minutes with the median so I can use them in my weekly report."},{"title":"Imputing nulls in source minutes for QA","prompt":"Some of my source_minutes entries are null across 120 rows — apply zero fill to replace those missing values and keep only rows where source_minutes falls between 1 and 10000."},{"title":"Preparing transcribed minutes for ML pipeline","prompt":"Before I feed these 200 transcript rows into my model, can you filter transcribed_minutes to the interval 5 to 250 and impute any missing entries using the mean?"}],"resultDescription":"Returns two analytical reports: one reflecting the numeric interval filter applied to the specified field (rows outside the min–max range flagged or removed) and one with explicit missing-value fills applied using the chosen method (zero, mean, or median). Results cover up to 200 input rows and include the processed row data with row_id and document_group context preserved.","failureModes":["Input array exceeds 200 rows — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Field enum value not in ['transcribed_minutes','source_minutes'] — schema error","Method enum not in ['zero','mean','median'] — schema error","Minimum value greater than maximum value — logical conflict may produce empty filtered set","Payment not attached or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular transcript preparation data (up to 200 rows) with transcribed_minutes or source_minutes fields that need both numeric range filtering and null imputation in a single call. It is ideal for lightweight, offline data cleaning without requiring a live database, prediction model, or external data lookup — all processing is local and analytical. Prefer it over general-purpose data APIs when your use case is specifically transcript minute data with document_group structure and you want two coordinated reports in one $0.01 call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:32.569Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-numeric-interval-filter-explicit-missing-value-d154a146"}