{"uid":"cap_JOY90E4kRLi_pJcl4qUuS","slug":"simulation-caches-numeric-interval-filter-explicit-missing-value-fill-6123c68c","name":"Simulation Caches — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Simulation caches — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill 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-08-135?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"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_yfJPJGB50cjSqVa7p_BAw","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 and fills missing values in cache_gb or simulation_seconds using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my simulation cache records — up to 50 rows with cache_gb and simulation_seconds fields — filter them to only include rows where cache_gb is between 0 and 500, and fill any missing cache_gb values using median imputation, then give me the 2 analytical reports.","exampleUseCases":[{"title":"Clean simulation cache dataset for reporting","prompt":"I have 80 simulation cache rows with some null cache_gb values and outliers. Filter them to cache_gb between 5 and 200, fill the missing cache_gb values using median, and give me the two analytical reports."},{"title":"Zero-fill missing simulation seconds for pipeline","prompt":"My simulation dataset has missing simulation_seconds entries — fill those with zero and filter the rows to only keep simulation_seconds between 0 and 3600, covering all 120 rows I'm sending."},{"title":"Mean imputation on cache data for asset group analysis","prompt":"I need to clean up cache records for asset groups A and B. Filter out any cache_gb values outside the range 10 to 150, then fill remaining nulls with the mean, and return the two summary reports for my 60 rows."}],"resultDescription":"Returns 2 independent analytical reports on the supplied simulation cache records after applying the specified numeric interval filter (retaining rows where the chosen field falls within [minimum, maximum]) and filling any missing values in the target field using the selected method (zero, mean, or median). Reports are computed locally with no external lookups.","failureModes":["Rows exceeding 200 items will be rejected","Missing required fields (row_id, date, asset_group) cause validation errors","Invalid date format (not YYYY-MM-DD) causes parsing failure","Minimum greater than maximum produces an empty filtered result","Invalid fill method enum value causes request rejection","Payment of 0.01 USDC not provided causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have simulation cache records (with cache_gb and/or simulation_seconds metrics) and need a combined interval-filter plus missing-value imputation pass in a single call, producing two analytical reports. Ideal for data cleaning pipelines where outlier rows need to be excluded and null values need to be standardized before downstream analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:32.610Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-interval-filter-explicit-missing-value-fill-6123c68c"}