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Interview Transcripts — String Normalisation + Two-Measure Correlation
x402
Interview Transcripts — String Normalisation + Two-Measure Correlation 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 transcript_words strings and computes correlation between transcript_words and audio_minutes across up to 200 interview transcript rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Interview transcripts — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 independent analytical reports: (1) normalised string values for transcript_words across all submitted rows, and (2) a two-measure correlation result between transcript_words and audio_minutes. No external lookups or predictions are made; all analysis runs on the supplied data locally.
Example use cases
Transcript efficiency by interview channel
“I have 50 interview records across two channel groups — can you normalize the transcript word strings and tell me how strongly audio_minutes correlates with transcript_words for each row? Here's the data: row-1, group-a, 2026-09-01, 340 words, 4.5 minutes; row-2, group-b, 2026-09-02, 120 words, 1.2 minutes...”
QA check on transcription output accuracy
“We just processed a batch of 80 candidate interviews and I want to verify that audio length and transcript word count are moving together as expected — can you run string normalization on the transcript_words and compute the correlation between transcript_words and audio_minutes across all rows?”
Comparing word density across interview dates
“I have interview transcript records from October 2026 across groups A and B — can you normalize the word count strings and give me a two-measure correlation report between transcript_words and audio_minutes so I can see which group is more verbally dense per minute?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-12-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular interview transcript data with word counts and audio durations and need both string normalisation and a statistical correlation between those two measures in a single call. It is purpose-built for interview transcript analytics (not general-purpose statistics), handles up to 200 rows per call, requires no external data sources, and costs only $0.01 USDC for both reports together.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, date, transcript_words, audio_minutes) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Null values in both transcript_words and audio_minutes may degrade or prevent correlation computation
- Fewer than 2 rows may make correlation statistically meaningless or return an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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