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Cache Observations Equal-Width Histogram
x402
Cache Observations Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes an equal-width histogram over cache hit or miss counts from up to 200 typed cache observation records, returning a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cache observations - Equal-width histogram: Equal-width histogram 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 equal-width histogram report.
Output
A bounded equal-width histogram report showing bin boundaries and the frequency of cache observations (hits or misses) falling into each bin, derived entirely from the supplied records with no external enrichment or forecasting.
Example use cases
Daily cache hit distribution analysis
“I have 50 daily cache observation records for two cache groups over the past two months — can you compute an equal-width histogram of the hits field using 10 bins so I can see how hit counts are distributed?”
Cache miss frequency bucketing for SRE review
“Here are 120 cache observation rows with misses data from our production caches — run an equal-width histogram on the misses field with 8 bins so our SRE team can spot which miss-count ranges are most common.”
Comparing hit spread across cache groups
“I've got 30 cache observation records mixing group-alpha and group-beta entries — generate a 6-bin equal-width histogram on hits so I can see whether hit counts cluster at the low or high end.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-cache-observations-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw cache observation records (hits and misses by date and cache group) and need a quick, local equal-width histogram without any external data enrichment, forecasting, or machine learning. It is ideal for operational dashboards, SRE reviews, or any workflow needing a deterministic frequency distribution of cache metrics at low cost ($0.01 USDC per call) on datasets up to 200 records.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) on any row — validation error
- Bins parameter outside 1–30 range — rejected
- Missing required fields (row_id, cache, date, hits, misses) on any row — schema error
- Field value not one of 'hits' or 'misses' — enum validation error
- Numeric values outside ±1,000,000,000,000 range — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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