{"uid":"cap_unyr92TjyCplzooxh0tIJ","slug":"simulation-caches-numeric-interval-filter-trailing-mean-series-0938f72a","name":"Simulation Caches — Numeric Interval Filter + Trailing Mean Series","description":"Simulation caches — Numeric interval filter + Trailing mean series: Numeric interval filter + 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-08-126?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},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_g8bBR7qKA98TGhNeUpHs2","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":"Applies a numeric interval filter and computes a trailing mean series on simulation cache records (cache_gb, simulation_seconds) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have 150 simulation cache records with dates, cache_gb, and simulation_seconds — can you filter rows where cache_gb is between 0 and 100, then compute a trailing mean series with a window of 3 on the cache_gb field?","exampleUseCases":[{"title":"Cache growth trend smoothing","prompt":"I have daily simulation cache logs for two asset groups going back 3 months — filter out any cache_gb values outside the range 5 to 200, then show me a trailing mean with a window of 5 to smooth out the noise."},{"title":"Simulation duration interval analysis","prompt":"Can you take these 80 simulation records and filter simulation_seconds between 10 and 3600, then compute a rolling mean with window size 4 so I can see the trend over time?"},{"title":"Multi-group cache utilization review","prompt":"I've got simulation cache data for groups A and B — please filter cache_gb between 0 and 50 and run a trailing mean series with a window of 2 so I can compare utilization trends across both groups."}],"resultDescription":"Returns two analytical reports: (1) records from the input rows whose selected numeric field (cache_gb or simulation_seconds) falls within the specified minimum–maximum interval, and (2) a trailing mean series computed over the selected field using the specified window size. Up to 200 input rows are processed per call.","failureModes":["Input array exceeds 200 rows — request rejected","Minimum value greater than maximum — invalid interval specification","Window size larger than number of valid rows — trailing mean may be sparse or empty","Invalid date format (non-YYYY-MM-DD) — row rejected or error returned","Missing required fields (row_id) — validation error","Null values in selected numeric field reduce effective row count for mean computation"],"whenToPreferThis":"Choose this endpoint when you have simulation cache records (with cache_gb and/or simulation_seconds fields) and need two specific analyses in one call: a numeric interval filter to isolate rows within a value range, and a trailing mean series for temporal smoothing. It is cost-effective at $0.01 USDC for both reports together on up to 200 rows. Prefer it over general-purpose analytics tools when your data fits the simulation-cache schema and you specifically need rolling-mean trend analysis combined with range filtering.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:33.748Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-interval-filter-trailing-mean-series-0938f72a"}