{"uid":"cap_Twp06agFI4VOUquTx78zf","slug":"interview-transcripts-numeric-distribution-and-missing-value-fill-02aeb4ea","name":"Interview Transcripts Numeric Distribution and Missing Value Fill","description":"Interview transcripts — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied interview transcripts records (transcript_words, audio_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-news-12-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","transcript_words","audio_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"audio_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"transcript_words":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","audio_minutes":1,"channel_group":"group-a","transcript_words":10},{"date":"2026-10-02","row_id":"row-2","audio_minutes":2,"channel_group":"group-b","transcript_words":20},{"date":"2026-10-03","row_id":"row-3","audio_minutes":3,"channel_group":"group-a","transcript_words":15},{"date":"2026-10-04","row_id":"row-4","audio_minutes":4,"channel_group":"group-b","transcript_words":30}],"maxItems":200,"minItems":1},"field":{"enum":["transcript_words","audio_minutes"],"type":"string","default":"transcript_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_5CH0lbF8ywOu39GIhPcpa","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 numeric distribution statistics and fills missing values for interview transcript records (transcript_words, audio_minutes) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Analyze the distribution of transcript_words and fill any missing audio_minutes values using the median method for these 5 interview transcript rows: row-1 (group-a, 2026-10-01, 1200 words, 4.5 min), row-2 (group-b, 2026-10-02, null words, 3.2 min), row-3 (group-a, 2026-10-03, 980 words, null min), row-4 (group-b, 2026-10-04, 1500 words, 6.1 min), row-5 (group-a, 2026-10-05, 1100 words, 5.0 min).","exampleUseCases":[{"title":"QA audit of interview dataset gaps","prompt":"I have 50 interview transcript records with some null audio_minutes values — can you fill those nulls using the mean and also give me the numeric distribution of audio_minutes across all rows? Here are the rows: [row data]."},{"title":"Word count distribution for transcript review","prompt":"Run a numeric distribution analysis on transcript_words for these 30 interview records and fill any missing transcript_words with zero so I can see the full spread — here are the rows with row_id, channel_group, date, transcript_words, and audio_minutes."},{"title":"Channel group transcript analytics","prompt":"I need two reports for my interview data: first the numeric distribution of transcript_words across 15 rows split by channel group, and second fill any missing transcript_words using the median. Here's the dataset with dates ranging from 2026-09-01 to 2026-09-15."}],"resultDescription":"Two analytical reports per call: (1) a numeric distribution report showing statistics (e.g. min, max, mean, median, percentiles) for the specified field across up to 200 rows, and (2) a missing-value fill report with null values in the target field replaced by the chosen method (zero, mean, or median), all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, channel_group, date) causes row rejection","Field enum value not in ['transcript_words','audio_minutes'] causes error","Method enum not in ['zero','mean','median'] causes error","All values null for chosen field may produce degenerate distribution report","Numeric values outside ±1e12 range rejected by schema"],"whenToPreferThis":"Choose this endpoint when you have tabular interview transcript data with up to 200 rows and need both a statistical distribution summary and missing-value imputation for numeric fields (transcript_words or audio_minutes) in a single low-cost call. Ideal for pre-processing steps before downstream ML or reporting pipelines where data completeness and distributional awareness are needed together. Not suitable for live transcription, prediction, real-time audio analysis, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:10.218Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-numeric-distribution-and-missing-value-fill-02aeb4ea"}