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Interview Transcripts — String Normalisation + Date by Category Pivot
x402
Interview Transcripts — String Normalisation + 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).
Normalises string fields and produces a date-by-category pivot table for up to 200 interview transcript records (transcript_words, audio_minutes).
Price / call$0.01
Success—
StatusUnknown
How this service works
Interview transcripts — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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
Returns two analytical reports: (1) a string normalisation report cleaning and standardising string fields in the supplied interview transcript rows, and (2) a date-by-category pivot table aggregating the selected numeric field (transcript_words or audio_minutes) broken down by date and channel_group, for up to 200 input rows.
Example use cases
Research team transcript volume report
“I have 120 interview transcript records with channel groups like 'in-person' and 'remote', dates ranging across Q3, and word counts per session. Can you normalise the string fields and pivot the transcript_words by date and channel group so I can see volume trends?”
Podcast channel audio minutes breakdown
“I've got 80 rows of podcast interview data with audio_minutes and channel_group fields. Please run the string normalisation and date-by-category pivot on the audio_minutes field so I can see how recording time is distributed across channels over time.”
HR interview data quality and summary
“We collected 40 HR interview records with transcript_words, audio_minutes, date, and department as the channel_group. Can you normalise the text fields and give me a pivot of transcript_words by date and department category?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-12-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured interview transcript data (up to 200 rows) and need both string normalisation and a date-by-category pivot in a single low-cost call. It is ideal for qualitative research workflows, podcast or interview analytics, and HR data summarisation where you want cleaned string fields and a grouped time-series view of word counts or audio durations without any live lookups or external model inference.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, channel_group, date, transcript_words, audio_minutes) cause validation failure
- Date field not matching YYYY-MM-DD pattern causes schema validation error
- Invalid field selector (not 'transcript_words' or 'audio_minutes') causes enum validation error
- Empty rows array (minItems: 1 not met) causes validation error
- Numeric values outside allowed range trigger boundary errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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