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Transcript Preparation — Trailing Mean Series + Explicit Missing-Value Fill
x402
Transcript Preparation — Trailing Mean Series + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Computes a trailing mean time series and fills missing values in transcript preparation records (transcribed_minutes, source_minutes) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 selected field (transcribed_minutes or source_minutes) using the specified rolling window, and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Smoothing noisy transcription duration logs
“I've got a dataset of 80 transcript records across several document groups — can you run a trailing mean with a window of 3 on the transcribed_minutes field and fill any nulls using the mean?”
Imputing missing source minutes for QA report
“My source_minutes column has a bunch of nulls in these 120 transcript prep rows — please fill the missing values using zero and also give me the trailing mean series with a window of 4.”
Preparing transcript data for billing reconciliation
“I need to clean up 200 rows of transcription data before we reconcile billing — compute the trailing mean series with window 10 on transcribed_minutes and fill any missing values using median imputation.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both trailing mean smoothing and missing-value imputation on transcript preparation data in a single low-cost call. It is ideal for offline batch preparation of transcription records before downstream analysis or billing, when no live lookup or prediction is required and your dataset fits within 200 rows.
Side effects
- Input array empty or exceeds 200 rows — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- window parameter outside 2–200 range — rejected
- Unknown fill method specified — enum validation error
- All values null for selected field — mean/median fill may be undefined
- Missing required fields (row_id, date, transcribed_minutes, source_minutes) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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