{"uid":"cap_R5ZR5KQqqex4zL9JraF8v","slug":"transcript-preparation-daily-sum-series-adjacent-row-changes-13fa5bf2","name":"Transcript Preparation — Daily Sum Series + Adjacent Row Changes","description":"Transcript preparation — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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-12-137?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"}}},"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_GJ_fT4pUKWpnjbosFX7D6","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 daily sum time series and adjacent row-over-row changes for transcript preparation records (transcribed_minutes, source_minutes) across up to 200 rows.","exampleAgentPrompt":"Can you run the daily sum series and adjacent row changes reports on my transcript prep data? I have 4 rows — row-1 for group-a on 2026-10-01 with source_minutes 1 and transcribed_minutes 10, row-2 for group-b on 2026-10-02 with source 2 and transcribed 20, row-3 for group-a on 2026-10-03 with source 3 and transcribed 15, and row-4 for group-b on 2026-10-04 with source 4 and transcribed 30 — and analyze the transcribed_minutes field.","exampleUseCases":[{"title":"Daily transcription volume trend audit","prompt":"I have a week of transcript prep logs across two document groups. Can you calculate the daily sum series and adjacent row changes for transcribed_minutes so I can see how our transcription volume trended and where big jumps occurred? Here are the rows: row-1, group-alpha, 2026-11-01, source 60, transcribed 45; row-2, group-beta, 2026-11-02, source 90, transcribed 80; row-3, group-alpha, 2026-11-03, source 75, transcribed 70."},{"title":"Source minutes throughput comparison","prompt":"Run the daily sum series and adjacent row changes reports on these transcript records using the source_minutes field — row-1 for doc-group-x on 2026-09-10 with source 120 and transcribed 100, row-2 for doc-group-y on 2026-09-11 with source 95 and transcribed 88, row-3 for doc-group-x on 2026-09-12 with source 110 and transcribed 105. I want to track how raw source minutes shift day to day."},{"title":"Transcript backlog spike detection","prompt":"I need to spot sudden spikes in our transcription backlog. Can you compute the daily sum series and adjacent row changes for transcribed_minutes on these 5 records: row-1 group-news 2026-08-01 source 200 transcribed 180, row-2 group-news 2026-08-02 source 210 transcribed 160, row-3 group-sport 2026-08-03 source 190 transcribed 190, row-4 group-news 2026-08-04 source 230 transcribed 140, row-5 group-sport 2026-08-05 source 205 transcribed 200?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum series showing aggregated values of the selected field (transcribed_minutes or source_minutes) per date, and (2) adjacent row changes showing the difference between consecutive rows for the selected field. Both reports are computed locally from the supplied data, with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds batch limit","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) — schema validation failure","Non-numeric values in numeric fields — type error","Invalid field enum value — must be transcribed_minutes or source_minutes"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregated time series and consecutive row-change analysis on transcript preparation data (transcribed_minutes or source_minutes) in a single low-cost call. It is ideal for batch sizes up to 200 rows and when no live data lookup, prediction, or external enrichment is needed — pure local computation on supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:53:16.695Z","isFirstParty":false,"canonicalSlug":"transcript-preparation-daily-sum-series-adjacent-row-changes-13fa5bf2"}