{"uid":"cap_hCyFwG1oXGYFoXvE9QP55","slug":"interview-transcripts-exact-row-deduplication-trailing-mean-series-0ba5861f","name":"Interview Transcripts — Exact Row Deduplication + Trailing Mean Series","description":"Interview transcripts — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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-12-045?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_U6h-N_JQGiMwj9A-TAY2S","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":"Deduplicates interview transcript rows and computes a trailing mean series for transcript_words or audio_minutes across up to 200 supplied records.","exampleAgentPrompt":"Can you deduplicate my interview transcript records and compute a trailing mean series with window size 3 for transcript_words? I have about 50 rows with fields row_id, channel_group, date, transcript_words, and audio_minutes.","exampleUseCases":[{"title":"Podcast transcript quality audit","prompt":"I have 120 rows of podcast interview transcript data with row_id, channel_group, date, transcript_words, and audio_minutes — can you deduplicate the exact duplicate rows and then compute a trailing mean series for audio_minutes with a window of 4?"},{"title":"Research interview trend analysis","prompt":"I've collected 80 interview transcript records across multiple channel groups and I need two reports: remove any exact duplicate rows, then calculate a rolling mean of transcript_words over a window of 5 so I can see trends over time."},{"title":"Media production data cleanup","prompt":"We have a batch of 150 interview transcript entries with duplicates mixed in — please run exact row deduplication and give me a trailing mean series for transcript_words using a window of 3."}],"resultDescription":"Returns two analytical reports: (1) a deduplicated set of the supplied interview transcript rows with exact duplicate records removed, and (2) a trailing mean series for the selected field (transcript_words or audio_minutes) computed over the specified rolling window size, covering up to 200 input rows.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, channel_group, date, transcript_words, audio_minutes) — validation error","Window size larger than number of unique rows — trailing mean may return nulls or partial results","Malformed date format (not YYYY-MM-DD) — schema validation failure","All rows are duplicates — deduplicated output may be a single row"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a trailing moving-average series computed together in one call on interview transcript data (transcript_words, audio_minutes), especially when working with datasets up to 200 rows and needing two bundled analytical reports at low cost. Prefer alternatives if you need live data lookup, prediction, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:01.495Z","isFirstParty":false,"canonicalSlug":"interview-transcripts-exact-row-deduplication-trailing-mean-series-0ba5861f"}