Transformation Throughput Analytics — Category Frequencies + 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 2026-10-28).
Analyzes transformation throughput records by computing category frequency distributions and filtering numeric fields (processed_rows or duration_seconds) within a specified interval range, returning two analytical reports for up to 200 rows.
Transformation throughput — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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.
Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a filtered subset of records where the selected numeric field (processed_rows or duration_seconds) falls within the specified minimum–maximum interval. Both reports are computed locally from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-101?utm_source=zero.xyzChoose this endpoint when you need two simultaneous analytical views on transformation throughput data: a categorical breakdown of dataset groups and a numeric range filter on processed_rows or duration_seconds. It is ideal for small-to-medium batch analytics (up to 200 rows) where no live data lookup or external enrichment is needed — just fast, cheap ($0.01 USDC) local computation on data you supply directly. Prefer alternatives if you need more than 200 rows, time-series trending, outlier detection, or reports beyond frequency counts and interval filtering.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
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