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Transcript Preparation Analytics — Trailing Mean Series + Date by Category Pivot
x402
Transcript Preparation Analytics — Trailing Mean Series + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs two analytical reports on transcript preparation data: a trailing mean time series and a date-by-category pivot table, for up to 200 rows of transcribed/source minutes records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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 trailing mean time series computed over the specified rolling window for the chosen field (transcribed_minutes or source_minutes), and (2) a date-by-category pivot table breaking down values by date and document_group — all derived locally from the supplied rows with no external lookups.
Example use cases
Transcription throughput trend analysis
“I have 120 rows of transcript preparation logs with dates, document groups, transcribed_minutes, and source_minutes. Can you compute a trailing mean over a window of 5 and also pivot the transcribed_minutes by date and document group so I can see throughput trends?”
Source vs transcribed minutes comparison by group
“Run a rolling average analysis on my source_minutes data across document groups — window size 4 — and give me a date-by-category pivot as well. I've got about 80 records covering October 2026.”
Weekly transcript prep reporting
“I need two reports on my transcript preparation data: a trailing mean time series with a window of 7 for the transcribed_minutes field, and a pivot table of transcribed_minutes grouped by document_group and date. My dataset has around 150 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a date-by-category pivot on transcript preparation data (transcribed_minutes, source_minutes) in a single cost-efficient call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local, deterministic analytics without any external lookups or predictions. Best when document_group and date dimensions are present in your records.
Side effects
- Input array exceeds 200 rows — request rejected
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) — schema error
- Window size outside range 2–200 — validation error
- Empty rows array — rejected
- Numeric values outside allowed range — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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