{"uid":"cap_6kjL9mAPQ0OtmN_PCNGQA","slug":"transcript-preparation-grouped-numeric-summary-explicit-missing-value-67106704","name":"Transcript Preparation — Grouped Numeric Summary + Explicit Missing-Value Fill","description":"Transcript preparation — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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-12-099?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"}}},"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_h4nfZpcGCSkSqyFnoJPwr","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 grouped numeric summary and fills missing values for transcript preparation records (transcribed_minutes, source_minutes) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have 150 transcript preparation records with transcribed_minutes and source_minutes fields — some values are null. Can you group them by document_group, give me a numeric summary, and fill the missing transcribed_minutes using median imputation?","exampleUseCases":[{"title":"Podcast transcription QA by show","prompt":"I've got 80 rows of podcast episode transcription data with transcribed_minutes and source_minutes. Some transcribed_minutes are missing. Group them by show (document_group), give me a summary of the numbers per group, and fill the blanks using the median."},{"title":"Video dubbing minutes audit","prompt":"Here are 120 rows of video dubbing records split across project groups. Some source_minutes values are null. Can you run a grouped numeric summary across those groups and fill in the missing source_minutes with the mean?"},{"title":"Legal deposition transcript review","prompt":"I have 60 deposition transcript prep records from different case groups. I need a grouped numeric summary of transcribed_minutes by case group, and any missing transcribed_minutes should be replaced with zero."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary showing aggregate statistics (count, sum, mean, min, max, etc.) of the specified numeric fields broken down by document_group, and (2) a dataset where missing values in the specified field have been filled using the chosen method (zero, mean, or median). Covers up to 200 input rows.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — rejected with limit exceeded error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field enum value not recognized — request rejected","All values in selected field are null — mean/median imputation may return zero or error","row_id missing or blank — required field validation failure"],"whenToPreferThis":"Choose this endpoint when you have transcript preparation data (transcribed_minutes, source_minutes) and need both a grouped statistical summary and missing-value imputation in one call. It is purpose-built for transcript/transcription workflows and returns two complementary reports at a fixed low cost of $0.01 USDC for up to 200 rows. Prefer it over generic analytics tools when your data fits the transcript preparation schema and you want group-level aggregation alongside null-fill in a single request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:53.302Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-grouped-numeric-summary-explicit-missing-value-67106704"}