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Transcript Preparation — Record Quality Audit + Exact Row Deduplication
x402
Transcript Preparation — Record Quality Audit + Exact Row Deduplication 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).
Audits data quality and removes exact duplicate rows from transcript preparation records containing transcribed_minutes and source_minutes fields, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transcript preparation — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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
Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed fields across the transcribed_minutes and source_minutes columns; and (2) an exact row deduplication report identifying and removing rows that are identical across all fields. Both reports are generated locally with no external lookups, covering up to 200 input rows.
Example use cases
Pre-pipeline transcript data cleaning
“I have a batch of transcript preparation records with transcribed_minutes and source_minutes columns that I need to clean before ingestion — can you run a quality audit and exact deduplication check on them and give me both reports?”
Meeting minutes deduplication check
“My team exported 120 rows of meeting transcript logs with date, document_group, transcribed_minutes, and source_minutes. Some rows look duplicated — can you identify exact duplicates and flag any quality problems in the data?”
Transcription vendor data validation
“I received a transcript dataset from our vendor with about 80 rows, each with a row_id, document group, date, and minute counts. Can you audit it for data quality issues and also pull out any exactly duplicated rows so I know what to send back?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-12-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and exact duplicate removal on transcript preparation records (transcribed_minutes, source_minutes) in a single low-cost call. It is ideal for pre-processing pipelines where you want offline, deterministic analysis with no external dependencies. Prefer it over general-purpose data tools when your dataset is structured around transcript minute fields and fits within 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, transcribed_minutes, source_minutes) cause row-level validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected by schema validation
- Empty rows array (minItems: 1 not met) causes request failure
- Numeric values outside allowed range (-1000000000000 to 1000000000000) rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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