Request Latency Base-100 Series and Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Generates two analytical reports — a Base-100 indexed time series and a date-by-category pivot table — from supplied request latency and request count records.
Request latency — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied request latency records (latency_ms, request_count). 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.
Two analytical reports: (1) a Base-100 time series where each value is indexed relative to a chosen baseline row, and (2) a date-by-category pivot table aggregating the selected metric (latency_ms or request_count) across dates and component categories — both computed locally from the supplied rows, up to 200 rows total.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-03-167?utm_source=zero.xyzChoose this endpoint when you have raw request latency or request count records (up to 200 rows) and need both a base-100 normalized time series and a date-by-category pivot table in a single low-cost call. It is ideal for lightweight observability analytics without requiring a full BI tool or data warehouse. Prefer it over manual computation when you need two complementary views (trend indexing + pivot) delivered together from user-supplied data with no external data dependencies.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
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