{"uid":"cap_Ew62R95gteJTFlE1xiRr8","slug":"simulation-caches-numeric-distribution-date-by-category-pivot-d6b91942","name":"Simulation Caches — Numeric Distribution + Date by Category Pivot","description":"Simulation caches — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot for supplied simulation caches records (cache_gb, simulation_seconds). 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-creative-08-083?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","cache_gb","simulation_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"cache_gb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"simulation_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","cache_gb":10,"asset_group":"group-a","simulation_seconds":1},{"date":"2026-10-02","row_id":"row-2","cache_gb":20,"asset_group":"group-b","simulation_seconds":2},{"date":"2026-10-03","row_id":"row-3","cache_gb":15,"asset_group":"group-a","simulation_seconds":3},{"date":"2026-10-04","row_id":"row-4","cache_gb":30,"asset_group":"group-b","simulation_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["cache_gb","simulation_seconds"],"type":"string","default":"cache_gb"}}},"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_qHcaj6HTpUEN937RK9FTc","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 (numeric distribution and date-by-category pivot) for user-supplied simulation cache records covering cache_gb and simulation_seconds fields.","exampleAgentPrompt":"Analyze my simulation cache records — I have 4 rows with asset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, cache_gb values of 10, 20, 15, 30, and simulation_seconds of 1, 2, 3, 4 — give me both a numeric distribution and a date-by-category pivot for cache_gb.","exampleUseCases":[{"title":"Cache size distribution across simulation runs","prompt":"I have 50 simulation run records with asset groups like 'gpu-cluster' and 'cpu-farm', dates across last quarter, and cache_gb values ranging from 5 to 400 — can you run a numeric distribution and a date-by-category pivot on the cache_gb field so I can see how storage is spread across groups over time?"},{"title":"Simulation duration analysis by team","prompt":"My team logged 120 simulation jobs across groups 'team-alpha', 'team-beta', and 'team-gamma' with dates in 2025 and simulation_seconds ranging from 60 to 86400 — please generate both the numeric distribution and the date pivot for the simulation_seconds field so we can spot outliers and trends."},{"title":"Monthly cache footprint review by environment","prompt":"I've got 180 simulation cache records from our three environments — 'prod', 'staging', and 'dev' — with daily dates in October and cache_gb values between 1 and 500 — run the numeric distribution and date-by-category pivot on cache_gb so I can report on monthly storage usage per environment."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical breakdown (e.g. min, max, mean, percentiles, histogram bins) of the selected numeric field (cache_gb or simulation_seconds), and (2) a date-by-category pivot table showing the selected field aggregated by date and asset_group category. Both reports are computed locally on the supplied data (up to 200 rows) with no external lookups.","failureModes":["Empty or missing rows array returns validation error","More than 200 rows submitted exceeds limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, asset_group, date) per row causes rejection","Numeric values outside the allowed range trigger boundary errors","Invalid field enum value (not cache_gb or simulation_seconds) returns error","Payment of 0.01 USDC not fulfilled causes 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have simulation cache tabular data (up to 200 rows) with cache_gb and simulation_seconds metrics grouped by asset_group and date, and you need both a numeric distribution analysis and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer this over general-purpose analytics tools when you want a self-contained, payment-gated analytical computation on supplied data without needing an external data warehouse or BI tool.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:07.024Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-distribution-date-by-category-pivot-d6b91942"}