{"uid":"cap_SCIjvSDbD3AbF0jpWXQiM","slug":"simulation-caches-numeric-interval-filter-two-measure-correlation-8a8e738d","name":"Simulation Caches — Numeric Interval Filter + Two-Measure Correlation","description":"Simulation caches — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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-08-131?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"},"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_YPmEZzzAeWLqLnCkNMrEX","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":"Filters simulation cache records by a numeric interval on one field and computes the correlation between cache_gb and simulation_seconds across up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"I have 150 rows of simulation cache records with cache_gb and simulation_seconds columns — filter to rows where cache_gb is between 5 and 80, then give me the correlation between cache_gb and simulation_seconds across all those rows.","exampleUseCases":[{"title":"Simulation performance correlation audit","prompt":"I have my simulation cache logs for October — 120 rows with asset_group, date, cache_gb, and simulation_seconds. Filter to records where cache_gb is between 10 and 100, then tell me if there's a meaningful correlation between cache size and how long simulations ran."},{"title":"Identify cache efficiency range for a workload","prompt":"Can you take my 80 simulation cache records, filter to only those where simulation_seconds is between 30 and 300 seconds, and then compute the correlation between cache_gb and simulation_seconds so I can see if bigger caches actually speed things up?"},{"title":"Asset group cache analysis before capacity planning","prompt":"Here are 200 rows of simulation cache data across multiple asset groups. I want to filter to entries where cache_gb falls between 20 and 500, then run a two-measure correlation between cache_gb and simulation_seconds so I can decide how to size our cache for the next quarter."}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report listing which rows from the supplied dataset fall within the specified [minimum, maximum] range on the chosen field (cache_gb or simulation_seconds), and (2) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across the supplied records. Up to 200 rows are processed; no external data or predictions are involved.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required row fields (row_id, date, cache_gb, simulation_seconds, asset_group) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Field enum value not recognized (must be cache_gb or simulation_seconds) — error response","All values in the selected field are null — correlation or filter computation may return empty or undefined result","minimum greater than maximum — filter returns zero rows"],"whenToPreferThis":"Choose this endpoint when you have simulation cache records with both a cache_gb and simulation_seconds field and need two simultaneous analytical outputs: a numeric range filter and a correlation between those two measures. It is ideal for small-to-medium batch analysis (up to 200 rows) of your own supplied data without requiring any external data lookup or live computation infrastructure. Prefer it over general-purpose analytics tools when you want a cost-effective ($0.01 USDC), self-contained dual-report on simulation performance data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:27.168Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-interval-filter-two-measure-correlation-8a8e738d"}