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Transformation Throughput — Record Quality Audit + Duplicate Key Report
x402
Transformation Throughput — Record Quality Audit + 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 2026-10-28).
Audits up to 200 transformation throughput records (processed_rows, duration_seconds) for data quality issues and duplicate row IDs, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report for supplied transformation throughput records (processed_rows, duration_seconds). 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 identifying issues such as nulls, out-of-range values, and malformed fields across the processed_rows and duration_seconds metrics; and (2) a duplicate key report identifying any repeated row_id values within the submitted dataset. Both reports are generated from the supplied data using local analytical engines with no external lookups.
Example use cases
ETL pipeline data quality check
“I've got a batch of 120 transformation throughput records from our ETL jobs this month, each with a row ID, dataset group, date, processed_rows, and duration_seconds — can you audit them for quality issues and flag any duplicate row IDs?”
Data engineering team daily validation
“Before we load today's pipeline metrics into the warehouse, run a quality audit and duplicate key report on these 85 records covering our processed_rows and duration_seconds fields — I need to catch any bad data or repeated row IDs first.”
Post-migration transformation audit
“We just migrated our transformation logs and I have 200 records with row IDs, dataset groups, dates, processed_rows, and duration_seconds — please check them for record quality problems and any duplicate keys so we know the migration is clean.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-003?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and a duplicate key check on transformation throughput data (processed_rows, duration_seconds) in a single call for up to 200 rows. It is ideal for data engineers validating ETL pipeline outputs before loading, performing post-migration checks, or routine data quality monitoring of batch processing metrics. Prefer it over generic validation tools when your data specifically follows the transformation throughput schema with row_id, dataset_group, date, processed_rows, and duration_seconds fields.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) — validation error
- Invalid date format (not YYYY-MM-DD pattern) — schema validation failure
- row_id empty or exceeds 80 characters — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — schema error
- Empty rows array — rejected due to minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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