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Transcript Preparation — Daily Sum Series + Adjacent Row Changes
x402
Transcript Preparation — Daily Sum Series + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Daily transcription volume trend audit
“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.”
Source minutes throughput comparison
“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.”
Transcript backlog spike detection
“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?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-137?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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