{"uid":"cap_xaWwhvtlLB5-G2M0K3noe","slug":"simulation-caches-numeric-row-ordering-trailing-mean-series-4a3f5c36","name":"Simulation Caches — Numeric Row Ordering + Trailing Mean Series","description":"Simulation caches — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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-08-115?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_IbEH2CPr8AFwRb4cp8ZDO","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 numeric row ordering and trailing mean series for simulation cache records (cache_gb, simulation_seconds) across up to 200 supplied rows.","exampleAgentPrompt":"Can you run the numeric row ordering and trailing mean series reports on my simulation cache records? Here are my rows with cache_gb and simulation_seconds values, I want to analyze cache_gb with a window of 3.","exampleUseCases":[{"title":"Cache growth trend analysis","prompt":"I have 150 simulation cache records with cache_gb and simulation_seconds fields — can you rank them numerically and compute a trailing mean series for cache_gb using a window of 5 so I can spot growth trends?"},{"title":"Simulation duration rolling average","prompt":"Run the trailing mean and row ordering reports on my simulation dataset — I want to look at the simulation_seconds field with a window of 4 across these records grouped by asset_group."},{"title":"Asset group cache comparison","prompt":"I need to numerically order and compute a rolling 3-window trailing mean for these 80 simulation cache rows so I can compare cache_gb patterns across my different asset groups."}],"resultDescription":"Returns two analytical reports for the supplied simulation cache rows: (1) numeric row ordering of records ranked by the selected field, and (2) a trailing mean series computed over the specified window size for cache_gb or simulation_seconds — both generated locally from supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied returns validation error","More than 200 rows submitted exceeds maximum and is rejected","Window size larger than the number of rows may produce incomplete trailing means","Invalid date format (not YYYY-MM-DD) triggers schema validation error","Missing required fields (row_id, cache_gb, simulation_seconds) cause row rejection","Null values in the selected numeric field may affect ordering and mean calculations"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records and need both a numeric ordering report and a trailing mean series computed from your own supplied data — no external data source, live lookup, or prediction required. Ideal for offline analytical workflows where you need statistical smoothing (rolling averages) and rank ordering of cache_gb or simulation_seconds fields at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:51.422Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-row-ordering-trailing-mean-series-4a3f5c36"}