{"uid":"cap_k38L0yg4Rve7uOPESaJs5","slug":"simulation-caches-trailing-mean-series-adjacent-row-changes-0f945ca4","name":"Simulation Caches — Trailing Mean Series + Adjacent Row Changes","description":"Simulation caches — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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-08-146?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_xm4U1PVikCVGVMl-euYZH","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 trailing moving-average series and adjacent-row delta changes for simulation cache metrics (cache_gb, simulation_seconds) supplied as row data, returning two analytical reports.","exampleAgentPrompt":"Run a trailing mean and adjacent row changes analysis on my simulation cache data — I have 4 rows with dates 2026-10-01 through 2026-10-04, cache_gb values of 10, 20, 15, 30 across groups group-a and group-b, use a window of 2 and analyze the cache_gb field.","exampleUseCases":[{"title":"Cache growth trend monitoring","prompt":"I have a week of daily simulation cache readings in GB across two asset groups — can you compute a trailing mean with window 3 and show me the row-by-row changes so I can spot growth trends in cache_gb?"},{"title":"Simulation runtime delta analysis","prompt":"Analyze my simulation_seconds data for 10 rows across different asset groups — give me a rolling average with window 2 and the adjacent row differences so I can see where runtimes are jumping."},{"title":"Infrastructure capacity planning review","prompt":"I want to compare cache sizes day over day and see a smoothed trailing mean across my 50 simulation cache records — use cache_gb as the field and a window of 5 for the moving average."}],"resultDescription":"Two analytical reports for the supplied rows: (1) a trailing mean series showing the rolling average of the chosen field over the specified window, and (2) adjacent row changes showing the delta between consecutive rows — both computed locally without external lookups or predictions.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — rejected with maxItems error","Window size larger than number of rows — may produce empty or partial trailing mean series","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required row fields (row_id, date, cache_gb, simulation_seconds) — schema error","Field enum value not 'cache_gb' or 'simulation_seconds' — rejected"],"whenToPreferThis":"Choose this endpoint when you have simulation cache tabular data (up to 200 rows) and need both a smoothed rolling average and row-over-row delta analysis in a single low-cost call ($0.01 USDC). Ideal for offline/batch analytical tasks on already-collected simulation metrics without needing live data, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:49.442Z","isFirstParty":false,"canonicalSlug":"simulation-caches-trailing-mean-series-adjacent-row-changes-0f945ca4"}