{"uid":"cap_DkOr-hnIM0Ge2yMvJfM5E","slug":"cache-observations-equal-width-histogram-f8cc959e","name":"Cache Observations Equal-Width Histogram","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-cache-observations-histogram?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","cache","date","hits","misses"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"hits":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"cache":{"type":"string","default":"","maxLength":80},"misses":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1}},"additionalProperties":false},"default":[{"date":"2026-10-01","hits":10,"cache":"group-a","misses":1,"row_id":"row-1"},{"date":"2026-10-02","hits":20,"cache":"group-b","misses":2,"row_id":"row-2"},{"date":"2026-10-03","hits":15,"cache":"group-a","misses":3,"row_id":"row-3"},{"date":"2026-10-04","hits":30,"cache":"group-b","misses":4,"row_id":"row-4"}],"maxItems":200,"minItems":1},"field":{"enum":["hits","misses"],"type":"string","default":"hits"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_GgAy-Lji1FCvvTuH1gZne","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Take these 4 cache observation records — row-1 on 2026-10-01 with 10 hits and 1 miss for group-a, row-2 on 2026-10-02 with 20 hits and 2 misses for group-b, row-3 on 2026-10-03 with 15 hits and 3 misses for group-a, row-4 on 2026-10-04 with 30 hits and 4 misses for group-b — and give me an equal-width histogram over the hits field using 5 bins.","exampleUseCases":[{"title":"Daily cache hit distribution analysis","prompt":"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?"},{"title":"Cache miss frequency bucketing for SRE review","prompt":"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."},{"title":"Comparing hit spread across cache groups","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:07.815Z","isFirstParty":false,"canonicalSlug":"cache-observations-equal-width-histogram-f8cc959e"}