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Transcript Preparation — String Normalisation + Adjacent Row Changes
x402
Transcript Preparation — 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).
Analyzes up to 200 transcript preparation records (transcribed_minutes, source_minutes) producing two reports: string normalization and adjacent row change detection.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes for supplied transcript preparation records (transcribed_minutes, source_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 based on the supplied rows: (1) a string normalization report identifying formatting or value inconsistencies in the selected field (transcribed_minutes or source_minutes), and (2) an adjacent row changes report highlighting where consecutive rows show significant changes in the specified numeric field, grouped by document_group and ordered by date.
Example use cases
Audit transcript minute discrepancies
“I have 50 rows of transcript preparation data with transcribed_minutes and source_minutes for each session — can you run the string normalization and adjacent row change reports on them so I can spot where values shift unexpectedly between rows?”
Quality check document group batches
“We have multiple document groups with dates ranging through October 2026 and up to 120 rows of transcript records — please analyze the source_minutes field for string normalization issues and adjacent row changes across all groups.”
Sequential change detection for transcription pipeline
“Before we finalize our transcription pipeline output, can you run both the normalization and adjacent-row-change reports on our 80-row batch of transcribed_minutes values grouped by project-x and project-y to catch any inconsistencies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need batch transcript preparation quality checks — specifically string normalization and sequential/adjacent row change detection — on up to 200 rows of timestamped transcription records. It is ideal for QA steps in transcription pipelines where you want two analytical views (normalization + change detection) at low cost without external lookups or live data requirements.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, document_group) causes rejection
- Invalid date format (non YYYY-MM-DD) fails schema validation
- Null values in both transcribed_minutes and source_minutes may reduce report quality
- Submitting fewer than 1 row returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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