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Interview Transcripts — String Normalisation + Keyed Dataset Comparison
x402
Interview Transcripts — String Normalisation + Keyed Dataset Comparison 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 strings and performs keyed dataset comparison on two sets of interview transcript records (transcript_words, audio_minutes), returning 2 analytical reports for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Interview transcripts — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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 2 independent analytical reports: one covering string normalisation of the supplied transcript fields (transcript_words, audio_minutes) and one covering keyed dataset comparison between the 'rows' and 'other' input arrays, matched by row_id. Reports are generated locally with no external lookups, covering up to 200 rows per dataset.
Example use cases
Audit transcript pipeline output differences
“I ran our interview transcripts through two different processing pipelines and I need to compare the word counts and audio minutes row by row — can you normalise the strings and highlight where the two datasets diverge? I have 80 rows in each set, keyed by row_id.”
QA check across interviewer channel groups
“We have transcript data from two rounds of interviews, both with up to 120 rows, and I want to see if the transcript_words and audio_minutes are consistent across channel groups between the two rounds — run the string normalisation and keyed comparison for me.”
Validate transcript records before merging datasets
“Before I merge these two interview transcript datasets — each about 150 rows — I need a report showing any mismatches in transcript_words or audio_minutes when matched by row_id and channel_group, with strings normalised first.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-12-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare two structured interview transcript datasets side-by-side using keyed matching (by row_id) and also want string normalisation applied, all within a single low-cost call. It is ideal for data quality audits, pipeline output validation, or pre-merge checks on transcript records up to 200 rows. It does not perform live transcription, prediction, or AI-based assessment — use it for deterministic analytical reporting on already-captured transcript data.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, channel_group, date, transcript_words, audio_minutes) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Empty rows array — minItems constraint violation
- Numeric values outside allowed range — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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