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Transformation Throughput — Record Quality Audit + Category Frequencies
x402
Transformation Throughput — Record Quality Audit + Category Frequencies 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).
Runs two local analytical reports on transformation throughput data: a record quality audit and category frequency analysis, for up to 200 rows of processed_rows and duration_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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 analytical reports: (1) a record quality audit identifying null values, invalid entries, and data completeness issues across processed_rows and duration_seconds fields; (2) a category frequency summary showing how often each dataset_group value appears across the supplied rows.
Example use cases
ETL pipeline data quality check
“I have 120 rows of transformation throughput logs with processed_rows and duration_seconds — can you run a record quality audit on them and flag any nulls or anomalies?”
Dataset group frequency analysis
“Here are my pipeline run records with dataset_group labels — can you tell me how frequently each group appears and whether any records have missing or invalid values?”
Batch processing audit for reporting
“I need two reports on my transformation throughput data: one checking record completeness and quality, and one showing how many records fall into each dataset_group category. I have 80 rows to analyze.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline/local analytical reports on transformation throughput records — specifically a quality audit plus dataset_group frequency breakdown — without any external lookups, predictions, or live data enrichment. Ideal for small-to-medium batches (up to 200 rows) where you want two bundled reports in a single low-cost call.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Extremely large numeric values near the 1e12 boundary may be flagged
- Empty rows array (minItems:1 violated) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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