{"uid":"cap_iwzJLDpZQTupol-WdfBhV","slug":"interview-transcripts-trailing-mean-series-date-by-category-pivot-ef55de01","name":"Interview Transcripts — Trailing Mean Series + Date by Category Pivot","description":"Interview transcripts — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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-12-152?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"},"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_eo-NspBsAcnLp2sKEYewc","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 a date-by-category pivot table for supplied interview transcript records (transcript_words, audio_minutes).","exampleAgentPrompt":"Can you run a trailing mean series and date-by-category pivot on my interview transcript data — I have 4 rows with fields row_id, channel_group, date, transcript_words, and audio_minutes — use a window size of 2 and analyze transcript_words?","exampleUseCases":[{"title":"Podcast channel performance over time","prompt":"I have weekly interview recordings across two podcast channels — group-a and group-b — with word counts and audio minutes for each session. Can you compute a trailing mean (window of 3) on transcript_words and also give me a date-by-category pivot so I can see how each channel performs week over week?"},{"title":"Interview quality monitoring by team","prompt":"We run daily interviews across multiple teams and I want to track audio_minutes trends. Can you calculate a rolling mean with window size 4 on audio_minutes for my 20 interview records grouped by channel_group and date, plus give me the pivot breakdown?"},{"title":"Research transcript volume analysis","prompt":"I have 50 user research interview records with transcript_words and audio_minutes, split across three groups. Please run the trailing mean series with a window of 5 on transcript_words and show me the date-by-category pivot so I can spot patterns across groups."}],"resultDescription":"Returns two analytical reports: (1) a trailing mean time series smoothing the selected metric (transcript_words or audio_minutes) over the specified window, and (2) a date-by-category pivot table cross-tabulating values by date and channel_group — both computed locally from the supplied rows with no external data access.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — hard limit of 200 rows per call","Window size larger than number of rows — trailing mean may produce sparse or empty results","Invalid date format (must be YYYY-MM-DD) — validation error on date field","Null or missing numeric values for transcript_words or audio_minutes — may produce incomplete series","Invalid field enum value — only 'transcript_words' or 'audio_minutes' accepted"],"whenToPreferThis":"Choose this endpoint when you have up to 200 interview transcript records with date, channel group, and numeric metrics (word count or audio minutes), and need both a rolling/trailing mean time series AND a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer this over general analytics tools when you want two bundled reports from your own supplied data without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:53:27.181Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-trailing-mean-series-date-by-category-pivot-ef55de01"}