{"uid":"cap_CON4w3WSzcWUp0mI_h4s7","slug":"cache-observations-base-100-series-analytics-2d21e6ab","name":"Cache Observations Base-100 Series Analytics","description":"Cache observations - Base-100 series: Base-100 series 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 base-100 series report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-cache-observations-index?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_yWSRFf4kanCIT2REP8nU7","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 a base-100 indexed series for cache hit or miss observations across up to 200 dated records, enabling normalized trend comparison anchored to a chosen baseline row.","exampleAgentPrompt":"Take these cache hit records for group-a and group-b from October 2026 — up to 4 rows with dates, hits, and misses — and give me a base-100 index series for hits, anchored to row 0 (the first row).","exampleUseCases":[{"title":"Normalize cache hit trends over a month","prompt":"I have daily cache hit counts for two cache groups across October — can you build a base-100 index series for hits, anchored to the first day (row index 0), so I can compare how each group's performance has changed relative to that starting point?"},{"title":"Benchmark cache miss rates across groups","prompt":"Here are 30 days of cache miss data for caches named 'cdn-east' and 'cdn-west' — generate a base-100 series for misses, using row 0 as the baseline, so I can see which cache's miss rate grew faster."},{"title":"Detect cache performance regression from a reference date","prompt":"I want to check if our cache hit rate degraded after a deploy — I have daily hit and miss data for 'prod-cache' from the past two weeks. Can you index the hits as a base-100 series starting from row 0 so I can see the relative change since that reference date?"}],"resultDescription":"Returns a base-100 indexed series report for the selected field (hits or misses) across all supplied cache observation rows, normalized so the chosen base_index row equals 100. Includes local descriptive analytics (no external enrichment or forecasting). Each row in the output reflects its value as a percentage of the baseline row's value.","failureModes":["Fewer than 1 row supplied — minimum of 1 row required","More than 200 rows supplied — maximum of 200 rows enforced","base_index references a row index out of bounds for the supplied array","base_index row has a zero or null value for the selected field, causing division-by-zero in normalization","Missing required fields (row_id, cache, date, hits, misses) on any row","Invalid date format — must match YYYY-MM-DD pattern","Numeric values outside the allowed range (±1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you need a simple, fast, local base-100 normalization of cache hit or miss time-series data without external dependencies, enrichment, or forecasting. It is ideal for comparing relative performance trends across multiple cache groups anchored to a reference observation, at very low cost ($0.01 USDC). Prefer alternatives if you also need correlation analysis, forecasting, or enrichment alongside the index.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:44.298Z","isFirstParty":false,"canonicalSlug":"cache-observations-base-100-series-analytics-2d21e6ab"}