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Interview Transcripts Numeric Distribution and Missing Value Fill
x402
Interview Transcripts Numeric Distribution and 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 2026-10-30).
Computes numeric distribution statistics and fills missing values for interview transcript records (transcript_words, audio_minutes) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Interview transcripts — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied interview transcripts records (transcript_words, audio_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
Two analytical reports per call: (1) a numeric distribution report showing statistics (e.g. min, max, mean, median, percentiles) for the specified field across up to 200 rows, and (2) a missing-value fill report with null values in the target field replaced by the chosen method (zero, mean, or median), all computed locally without external lookups.
Example use cases
QA audit of interview dataset gaps
“I have 50 interview transcript records with some null audio_minutes values — can you fill those nulls using the mean and also give me the numeric distribution of audio_minutes across all rows? Here are the rows: [row data].”
Word count distribution for transcript review
“Run a numeric distribution analysis on transcript_words for these 30 interview records and fill any missing transcript_words with zero so I can see the full spread — here are the rows with row_id, channel_group, date, transcript_words, and audio_minutes.”
Channel group transcript analytics
“I need two reports for my interview data: first the numeric distribution of transcript_words across 15 rows split by channel group, and second fill any missing transcript_words using the median. Here's the dataset with dates ranging from 2026-09-01 to 2026-09-15.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-12-085?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular interview transcript data with up to 200 rows and need both a statistical distribution summary and missing-value imputation for numeric fields (transcript_words or audio_minutes) in a single low-cost call. Ideal for pre-processing steps before downstream ML or reporting pipelines where data completeness and distributional awareness are needed together. Not suitable for live transcription, prediction, real-time audio analysis, or datasets exceeding 200 rows.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, channel_group, date) causes row rejection
- Field enum value not in ['transcript_words','audio_minutes'] causes error
- Method enum not in ['zero','mean','median'] causes error
- All values null for chosen field may produce degenerate distribution report
- Numeric values outside ±1e12 range rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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