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Interview Transcripts — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Interview Transcripts — Record Quality Audit + 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).
Audits data quality, normalises strings, and computes correlation between transcript_words and audio_minutes for up to 200 interview transcript records in a single batch call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Interview transcripts — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied interview transcripts records (transcript_words, audio_minutes). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging missing values, out-of-range numbers, and malformed fields; (2) a string normalisation report showing standardised versions of string columns like channel_group and date; and (3) a two-measure correlation report quantifying the statistical relationship between transcript_words and audio_minutes across all supplied rows. All computed locally with no external lookups.
Example use cases
Transcript data quality check before analysis
“I've got a batch of 50 interview transcript records with row IDs, channel groups, dates, word counts, and audio durations — can you audit them for quality issues, normalise the string fields, and tell me how correlated the word counts are with the audio minutes?”
Correlation check for transcription accuracy
“I want to see whether my transcription service is producing word counts proportional to audio length. Can you take my 120 interview rows — each with a row_id, date, channel_group, transcript_words, and audio_minutes — and run the quality audit, string normalisation, and two-measure correlation reports?”
Pre-merge data validation for interview dataset
“Before I merge two interview datasets together, can you check the 80 records I have for data quality problems, clean up the string fields, and compute the correlation between transcript_words and audio_minutes so I can spot any outliers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-12-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined batch analytical pass over interview transcript records — specifically when you want record quality auditing, string normalisation, and two-measure correlation in a single low-cost call (0.01 USDC for all three reports). Ideal for pre-processing or QA pipelines on transcript datasets up to 200 rows where no external data lookup, prediction, or live service is required.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, channel_group, date, transcript_words, audio_minutes) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range — schema rejection
- Insufficient variance in data for meaningful correlation — correlation report may return NaN or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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