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Transcript Preparation — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Transcript Preparation — Record Quality Audit + String Normalisation + Numeric Interval Filter 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 record quality, normalises strings, and filters by numeric interval for 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 + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 independent reports from local analytical engines: (1) a record quality audit flagging nulls, missing values, and structural issues; (2) a string normalisation report on text fields like document_group; and (3) a numeric interval filter report identifying rows where the selected numeric field (transcribed_minutes or source_minutes) falls outside the specified minimum/maximum range. All reports cover up to 200 input rows.
Example use cases
Transcript batch quality check
“I have 80 transcript records with transcribed_minutes and source_minutes values from last month — can you audit them for quality issues, normalise the string fields, and flag any rows where transcribed_minutes falls outside the range 0 to 60?”
Outlier detection in transcription data
“Run an interval filter on source_minutes for these 150 transcript rows and flag anything below 1 or above 500, plus give me a quality audit and string normalisation pass on the same data.”
Validate document group transcriptions
“I need to validate this set of 30 transcript preparation records across document groups 'group-a' and 'group-b' — please run the record quality audit, string normalisation, and filter transcribed_minutes between 5 and 200.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined data-quality operations — quality audit, string normalisation, and numeric interval filter — on transcript preparation records with transcribed_minutes and source_minutes fields, all in a single low-cost call. It is ideal for batch pre-processing pipelines where you want to catch bad records before downstream analysis, and where no live lookup, prediction, or external data enrichment is needed.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) causes row-level rejection
- minimum greater than maximum causes undefined or empty filter results
- Numeric values outside ±1,000,000,000,000 fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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