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Cache Telemetry Analyzer — Category Frequencies & Adjacent Row Changes
x402
Cache Telemetry Analyzer — Category Frequencies & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Analyzes cache telemetry rows (hit_count, miss_count) to produce two reports: category frequency distributions by component and adjacent-row change deltas, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cache telemetry — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes for supplied cache telemetry records (hit_count, miss_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.
Output
Returns two independent analytical reports: (1) category frequencies showing how often each unique component value appears across the supplied rows, and (2) adjacent row changes showing the delta in the selected numeric field (hit_count or miss_count) between consecutive rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Cache component usage frequency audit
“I have 50 rows of cache telemetry logs with component names and daily hit_count values — can you give me a breakdown of how frequently each component appears and how the hit counts change between consecutive rows?”
Cache miss spike investigation
“Here are 120 rows of cache telemetry records with miss_count data across several components from last month — run the category frequency and adjacent row change reports on miss_count so I can see which components spike the most.”
Daily cache performance diff report
“I've got cache telemetry data for 30 days across components auth-cache, db-cache, and session-cache — analyze the hit_count field to show me how often each component appears and what the day-over-day changes look like.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-06-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have cache telemetry data with hit/miss counts and need both a component-level frequency distribution and row-to-row change analysis in a single call. It is ideal for DevOps and SRE workflows analyzing cache performance logs offline with no need for external data enrichment. Prefer it over single-report endpoints when you need both category frequencies and adjacent row deltas together at a fixed low cost.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, component, date, hit_count, miss_count) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum — must be hit_count or miss_count
- Payment failure — 0.01 USDC not successfully processed via x402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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