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Cache Observations – Category Frequencies
x402
Cache Observations – 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 2026-10-16).
Computes category-frequency counts across cache observation records (hits/misses by cache group and date) for up to 200 rows of typed input data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cache observations - Category frequencies: Category frequencies 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 category frequencies report.
Output
A bounded category-frequency report listing each unique cache group name found in the submitted rows alongside its occurrence count and relative frequency, derived purely from the supplied input records with no external enrichment or forecasting.
Example use cases
Cache group usage distribution
“I have a week's worth of cache observations across three cache groups — 'edge-cache', 'origin-cache', and 'mem-cache' — with daily hit and miss counts for each. Can you tell me how frequently each cache group appears in the dataset so I know which ones dominate?”
Identifying dominant cache tiers
“Here are 150 cache observation records from last month with columns for date, cache name, hits, and misses. Run a category frequency analysis on them so I can see which cache tiers are being used most often.”
Pre-optimization cache audit
“Before I restructure our caching layer, I want to know the frequency distribution of cache groups in these 80 observation records. Can you count how many times each cache category shows up across all the rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-cache-observations-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local descriptive frequency count over a bounded set of cache observation records (up to 200 rows) without requiring external data enrichment, forecasting, or access to live systems. It is ideal for auditing cache group distribution, pre-optimization analysis, or summarizing cache behavior from exported logs at a low per-call cost of $0.01 USDC.
Side effects
- Empty rows array or missing required fields (row_id, cache, date, hits, misses) returns a validation error
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) cause a schema error
- Network or payment (x402) failure returns a non-2xx HTTP response without a frequency report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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