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Cache Observations – Date by Category Pivot
x402
Cache Observations – 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 2026-10-16).
Pivots up to 200 cache observation records (hits/misses) by date and cache category, returning a local descriptive analytics summary table.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cache observations - Date by category pivot: Date by category pivot for Cache observations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded date by category pivot report.
Output
A date-by-category pivot report summarizing the chosen metric (hits or misses) across all supplied cache observation records, organized with dates as one axis and cache category names as the other. The report is purely local descriptive analytics with no enrichment or forecasting.
Example use cases
Daily cache hit breakdown by group
“I have a list of cache observation rows with dates, cache group names, and hit counts — can you pivot them so I can see hits for each cache group per day? Use 'hits' as the field.”
Cache miss trend analysis across categories
“Take my cache observation records for the past week — each row has a date, a cache name, and miss counts — and give me a date-by-category pivot using misses so I can spot which cache is underperforming on which days.”
QA report on cache performance data
“I've got up to 150 cache observation records tagged with dates and cache group labels, and I want a pivot table showing misses per cache category per date so my team can review performance patterns locally.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-cache-observations-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw cache observation records (hits and misses) already on hand and need a fast, cheap local pivot table grouped by date and cache category — without any external enrichment, forecasting, or complex transformation. It's ideal for quick descriptive analytics on cache performance data when you want a structured cross-tab output for up to 200 rows at minimal cost.
Side effects
- Fewer than 1 row supplied — minimum items constraint violated
- More than 200 rows supplied — maxItems constraint exceeded
- Missing required fields (row_id, cache, date, hits, misses) on any row
- Date field not matching YYYY-MM-DD format
- Invalid field enum value (must be 'hits' or 'misses')
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment not completed — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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