{"uid":"cap_JZ4nK3bCz2CgLoQyjpPWE","slug":"cache-telemetry-base-100-series-date-by-category-pivot-61fb8cb4","name":"Cache Telemetry — Base-100 Series + Date by Category Pivot","description":"Cache telemetry — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-06-167?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","hit_count","miss_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"hit_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"miss_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","hit_count":10,"miss_count":1},{"date":"2026-10-02","row_id":"row-2","component":"group-b","hit_count":20,"miss_count":2},{"date":"2026-10-03","row_id":"row-3","component":"group-a","hit_count":15,"miss_count":3},{"date":"2026-10-04","row_id":"row-4","component":"group-b","hit_count":30,"miss_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["hit_count","miss_count"],"type":"string","default":"hit_count"},"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_dqNgtpjRZRCWg0_oFbyom","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":"Generates two analytical reports from supplied cache telemetry data: a Base-100 indexed time series and a date-by-category pivot table, for up to 200 rows of hit/miss count data.","exampleAgentPrompt":"I have cache telemetry rows with hit_count and miss_count by component and date — can you run a Base-100 indexed series (using row index 0 as the base) and a date-by-category pivot on the hit_count field for all 150 rows?","exampleUseCases":[{"title":"Cache efficiency trend analysis","prompt":"I've got 90 days of cache telemetry for three microservices — can you index the hit_count data to a Base-100 series starting from row 0 and also give me a pivot of hit counts by date and component so I can see which service degraded over time?"},{"title":"Cache miss spike investigation","prompt":"Something spiked our cache miss_count last week. Can you take these 120 rows of daily telemetry across our CDN components and produce a Base-100 series plus a date-by-category pivot on miss_count, using row 0 as the baseline?"},{"title":"Multi-component cache benchmarking","prompt":"We're benchmarking two cache backends — group-a and group-b — over 60 days. Run a Base-100 indexed series and a date-by-component pivot on the hit_count field from these records so we can compare their relative performance trajectories."}],"resultDescription":"Two analytical reports returned together: (1) a Base-100 normalized time series for the selected field (hit_count or miss_count), anchored at the specified base_index row, showing relative change across all rows; and (2) a date-by-category pivot table grouping the selected metric by date and component. Results are derived entirely from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, component, date, hit_count, miss_count) cause validation errors","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) will fail pattern validation","base_index pointing to a row with a zero or null value may cause division errors in Base-100 normalization","Payment failure (insufficient USDC balance) prevents processing"],"whenToPreferThis":"Choose this endpoint when you have structured cache telemetry rows (hit/miss counts by component and date) and need both a relative-indexed time series and a cross-tabulated pivot in a single low-cost call. Ideal for software teams analyzing cache efficiency trends without standing up local analytics infrastructure. Not suitable for live cache monitoring, prediction, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:45:17.439Z","isFirstParty":false,"canonicalSlug":"cache-telemetry-base-100-series-date-by-category-pivot-61fb8cb4"}