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Transcript Preparation — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Transcript Preparation — Record Quality Audit + String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs three analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 transcript preparation rows containing transcribed_minutes and source_minutes fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied transcript preparation records (transcribed_minutes, source_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
Three separate analytical reports for the submitted rows: (1) a record quality audit identifying data issues, (2) a string normalisation report flagging or correcting string formatting problems, and (3) an adjacent row changes report highlighting where consecutive rows differ in the specified field. All analysis is performed locally with no external lookups.
Example use cases
Transcription accuracy audit for media company
“I have a batch of up to 200 transcript records with transcribed_minutes and source_minutes values — can you run a full quality audit, string normalisation check, and adjacent row changes analysis on them so I can spot any data issues before we publish?”
QA check before transcript database import
“Before I import these transcript preparation records into our database, can you run the three standard reports — record quality audit, string normalisation, and adjacent row changes — on the transcribed_minutes field across all rows?”
Detecting transcription drift across sessions
“I've got a set of daily transcript logs by document group and date, and I need to detect where adjacent rows show unexpected changes in the source_minutes or transcribed_minutes values — can you run the adjacent row changes and quality audit reports on this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical passes (quality audit, string normalisation, and adjacent row change detection) on transcript preparation data in a single low-cost call. It is ideal for batch validation of transcription logs before storage or publishing, and when you do not need real-time lookup, prediction, or external data enrichment. It is most cost-effective when you have close to 200 rows, since all three reports are included in the flat $0.01 USDC price.
Side effects
- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- row_id missing or empty — required field error
- field value not one of the allowed enum values (transcribed_minutes, source_minutes) — enum validation error
- Numeric values outside allowed range — minimum/maximum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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