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Transcript Preparation Analytics — Base-100 Series + Date by Category Pivot
x402
Transcript Preparation Analytics — Base-100 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 2026-10-25).
Computes a base-100 indexed time series and a date-by-category pivot table for transcript preparation data (transcribed_minutes and source_minutes) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Base-100 series + Date by category pivot: Base-100 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 base-100 indexed time series for the chosen field (transcribed_minutes or source_minutes), anchored at the specified base_index row, showing relative change over time; and (2) a date-by-category pivot table cross-tabulating values by date and document_group. Both reports are computed locally from the supplied rows with no external lookups.
Example use cases
Tracking transcription throughput over time
“I have 150 rows of transcript job records with dates, document groups, transcribed_minutes, and source_minutes. Can you index the transcribed_minutes as a base-100 series starting from row 0 and also build a pivot showing transcribed_minutes by date and document group?”
Comparing source vs transcribed minutes by team
“Run analysis on my transcript prep data — I want to see source_minutes indexed to base-100 starting from the first record, plus a breakdown by document_group across all dates. I've got about 80 rows covering groups like 'legal' and 'media'.”
Monthly transcript workload pivot for reporting
“Here are our transcription records for the past quarter — around 200 rows with dates, document groups, transcribed_minutes, and source_minutes. Generate a base-100 trend series using transcribed_minutes indexed from row 0, and a date-by-category pivot so I can see which groups were busiest each day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular transcript preparation data with dates, document groups, and minute-count metrics, and need both a base-indexed trend series and a category-date pivot in a single low-cost call ($0.01 USDC). Prefer it over general analytics tools when you want purely local, deterministic computation on supplied data with no external dependencies, and when your dataset fits within 200 rows.
Side effects
- Missing required fields (row_id, date, document_group, transcribed_minutes, source_minutes) cause validation errors
- Date values not matching YYYY-MM-DD format are rejected
- Exceeding 200 rows returns an error — must trim input
- base_index out of range (≥ number of rows) causes an error
- Null values in the selected measure field may affect base-100 calculation
- Malformed JSON input returns a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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