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Transcript Preparation — Record Quality Audit + String Normalisation + Duplicate Key Report
x402
Transcript Preparation — Record Quality Audit + String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three analytical reports on transcript preparation records: a record quality audit, string normalisation, and duplicate key detection — all from supplied data, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report showing standardised versions of text fields; and (3) a duplicate key report identifying any repeated row_id values across the submitted rows. All reports are derived locally from the supplied data with no external lookups.
Example use cases
Pre-processing transcript data quality check
“Before I load these transcript records into our pipeline, can you run a full quality audit, normalise the string fields, and report any duplicate row IDs? I have about 80 rows, each with a row_id, document_group, date, transcribed_minutes, and source_minutes.”
Detecting duplicate transcript entries
“I've got a batch of 120 transcript preparation rows and I'm worried some row IDs might be duplicated. Can you run a duplicate key report along with a record quality audit and string normalisation on the whole set?”
Cleaning transcription minute records for reporting
“We have 150 rows of transcribed_minutes and source_minutes data grouped by document_group and date — can you normalise the strings, audit each record for quality issues, and tell me if there are any duplicate keys before I compile the final report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and detect duplicate keys in transcript preparation records (transcribed_minutes, source_minutes) in a single cost-efficient call. Ideal for preprocessing transcript datasets before ingestion into downstream pipelines where data integrity matters. Best suited for batches of 1–200 rows where no external reference data, predictions, or live lookups are needed.
Side effects
- Fewer than 1 row submitted — minimum 1 row required
- More than 200 rows submitted — maximum batch size exceeded
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes)
- row_id exceeds 80 character limit
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment failure — 0.01 USDC required via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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