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Transcript Preparation — Record Quality Audit + String Normalisation + Base-100 Series
x402
Transcript Preparation — Record Quality Audit + String Normalisation + Base-100 Series 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 local analytical reports on transcript preparation records: record quality audit, string normalisation, and base-100 index series — for up to 200 rows of transcribed_minutes and source_minutes data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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
Returns three independent analytical reports generated locally: (1) a record quality audit flagging missing values, out-of-range entries, and data integrity issues across the supplied rows; (2) a string normalisation report covering the text fields in the dataset; and (3) a base-100 index series for the selected numeric field (transcribed_minutes or source_minutes) anchored to the specified base row. All reports are computed from the supplied data with no external lookups.
Example use cases
Quality gate before transcript ingestion
“Before we ingest these 50 transcript preparation records into the pipeline, can you run the record quality audit, string normalisation, and base-100 series on them? Use the transcribed_minutes field and set the base index to row 0 — I need to catch bad records early.”
Comparing source vs transcribed minutes drift
“I've got 120 rows of transcript data with both source_minutes and transcribed_minutes recorded across different document groups and dates. Can you run all three reports — quality audit, string normalisation, base-100 index — on them using source_minutes as the field and base index 0, so I can see where the numbers drift?”
Monthly transcript batch review
“At the end of the month I have 80 transcript preparation rows across groups A and B. Can you audit their quality, normalise the strings, and produce a base-100 index series using transcribed_minutes starting from base index 0 so I can compare performance across the month?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-201?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and base-100 indexing — on transcript preparation records in a single low-cost call. It is ideal for pre-ingestion data validation pipelines, monthly batch reviews, or any workflow where transcribed_minutes and source_minutes need to be checked for integrity and indexed together. It operates entirely on supplied data with no external dependencies, making it fast and deterministic.
Side effects
- Fewer than 1 row or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) on any row — schema validation failure
- Missing required fields (row_id, document_group, date, transcribed_minutes, source_minutes) on any row — rejection
- base_index out of range (0–199) or pointing beyond the number of rows — index error
- Null values in both transcribed_minutes and source_minutes for a row — may produce incomplete quality audit
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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