{"uid":"cap_ms3cRhAe_3FzMUM_dTyx3","slug":"simulation-caches-date-by-category-pivot-keyed-dataset-comparison-f9c30f33","name":"Simulation Caches — Date by Category Pivot + Keyed Dataset Comparison","description":"Simulation caches — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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-08-188?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"cache_gb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"simulation_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","cache_gb":10,"asset_group":"group-a","simulation_seconds":1},{"date":"2026-10-02","row_id":"row-2","cache_gb":20,"asset_group":"group-b","simulation_seconds":2},{"date":"2026-10-03","row_id":"row-3","cache_gb":15,"asset_group":"group-a","simulation_seconds":3},{"date":"2026-10-04","row_id":"row-4","cache_gb":30,"asset_group":"group-b","simulation_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["cache_gb","simulation_seconds"],"type":"string","default":"cache_gb"},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","cache_gb","simulation_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"asset_group":"group-b","simulation_seconds":2},{"date":"2026-10-03","row_id":"row-3","cache_gb":17,"asset_group":"group-a","simulation_seconds":3},{"date":"2026-10-04","row_id":"row-4","cache_gb":33,"asset_group":"group-b","simulation_seconds":4}],"maxItems":200,"minItems":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_1jgNgDwSD7JKbk3vUEoz5","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":"Performs two analytical reports on simulation cache data: a date-by-category pivot table and a keyed comparison between two supplied datasets, covering cache_gb and simulation_seconds metrics.","exampleAgentPrompt":"I have two sets of simulation cache records (up to 200 rows each) with fields like cache_gb and simulation_seconds across asset groups and dates — can you run a date-by-category pivot and a keyed comparison between the two datasets, focusing on the cache_gb field?","exampleUseCases":[{"title":"Monthly cache usage pivot by asset group","prompt":"I have 120 rows of simulation cache records with dates, asset groups, and cache_gb values — please pivot them so I can see total cache_gb per asset group across each date."},{"title":"Before-and-after dataset comparison","prompt":"I ran simulations before and after an infrastructure change and have two datasets of up to 200 rows each with cache_gb and simulation_seconds. Can you compare them row-by-row using row_id as the key so I can see where the values changed?"},{"title":"Simulation seconds analysis across categories","prompt":"Here are my simulation cache logs split into two groups — please do a date-by-category pivot and a keyed comparison focused on simulation_seconds so I can spot which asset groups are taking longer over time."}],"resultDescription":"Returns two analytical reports: (1) a date-by-category pivot table cross-tabulating the selected metric (cache_gb or simulation_seconds) by date and asset_group, and (2) a keyed dataset comparison showing differences between the two supplied datasets matched by row_id. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) in any row returns a validation error","More than 200 rows submitted causes rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error","Empty rows array rejected (minItems: 1)","Invalid field enum value (not cache_gb or simulation_seconds) causes an error","Numeric values outside the allowed range trigger boundary errors"],"whenToPreferThis":"Choose this endpoint when you have simulation cache tabular data (with cache_gb and simulation_seconds) and need both a pivot table by date/category and a side-by-side keyed comparison between two datasets in a single low-cost call. Ideal for offline or batch analytical use cases on pre-collected simulation records where no live data fetching or external prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:16.248Z","isFirstParty":false,"canonicalSlug":"simulation-caches-date-by-category-pivot-keyed-dataset-comparison-f9c30f33"}