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Transcript Preparation — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Transcript Preparation — Two-Measure Correlation + 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 2026-10-26).
Computes Pearson correlation between transcribed_minutes and source_minutes, and fills missing values in a chosen field using zero, mean, or median imputation — across up to 200 transcript preparation rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + 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 independent analytical reports: (1) a Pearson correlation coefficient between the transcribed_minutes and source_minutes columns across all valid rows, and (2) the dataset with missing values in the specified field replaced using the chosen imputation method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Transcript accuracy audit for media team
“I've got 150 rows of transcription jobs, each with a source_minutes and transcribed_minutes value — some transcribed_minutes are null. Can you fill those nulls with the median and then tell me how correlated the two minute counts are across all records?”
QA check on subtitling batches
“Here are 80 subtitle project rows grouped by document_group with dates. A few source_minutes entries are missing — fill them with zero and then compute the correlation between source_minutes and transcribed_minutes so I can see if our subtitlers are tracking accurately.”
Podcast transcription consistency check
“I have a month's worth of podcast transcription data — 120 rows — and I need to know if our transcribed durations are closely correlated with the original audio lengths. Also use mean imputation to fill any missing transcribed_minutes before running the analysis.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular transcript preparation data with transcribed_minutes and source_minutes columns and need both a statistical correlation check and missing-value imputation in a single low-cost call. It is ideal for batch QA workflows on transcription pipelines where you want to validate how closely transcribed durations mirror source audio lengths while also cleaning null entries — all without sending data to an external live service.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Non-numeric values in transcribed_minutes or source_minutes — schema rejection
- All values in both columns are null — correlation cannot be computed
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value (not transcribed_minutes/source_minutes) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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