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Cache Observations Grouped Numeric Summary
x402
Cache Observations Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes grouped descriptive statistics (numeric summary) for cache hit/miss observations, grouped by cache name, from up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cache observations - Grouped numeric summary: Grouped numeric summary 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 grouped numeric summary report.
Output
A bounded grouped numeric summary report containing descriptive statistics (e.g. count, min, max, mean, sum) for the chosen field (hits or misses), broken down by cache group name, derived entirely from the supplied records with no external enrichment or forecasting.
Example use cases
Cache tier performance comparison
“I've got daily cache hit counts for two cache tiers — 'edge' and 'origin' — across the past week (7 rows each). Can you group and summarize the hits field so I can see descriptive stats like mean and range for each tier?”
Cache miss spike investigation
“Here are 50 cache observation records from our production environment covering three cache names. Summarize the misses field grouped by cache name so I can see which group has the worst miss counts.”
Weekly cache health report
“I have 200 daily cache observations across 5 cache groups for last month. Please compute a grouped numeric summary of hits for each group so I can include it in our weekly infrastructure health report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-cache-observations-group-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw cache observation records (hits/misses per cache name per date) and need local grouped descriptive analytics without any external data enrichment, forecasting, or ML — particularly when you want a cheap ($0.01 USDC), deterministic, bounded summary report grouped by cache identity.
Side effects
- Empty rows array or rows below minItems (1) returns a validation error
- Rows exceeding maxItems (200) are rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, cache, date, hits, misses) in any row causes rejection
- Invalid field enum value (not 'hits' or 'misses') causes rejection
- Payment failure or insufficient USDC balance blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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