{"uid":"cap_V40W5BSMFHfTTTntVxA79","slug":"simulation-caches-category-frequencies-explicit-missing-value-fill-55f30818","name":"Simulation Caches — Category Frequencies + Explicit Missing-Value Fill","description":"Simulation caches — Category frequencies + Explicit missing-value fill: Category frequencies + 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-08-112?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"}}},"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_CElNO6DcOaXW1ZxUgyDUe","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 category frequency distributions and fills missing values (cache_gb or simulation_seconds) using zero, mean, or median imputation for up to 200 simulation cache records.","exampleAgentPrompt":"I have up to 200 simulation cache records with asset_group, date, cache_gb, and simulation_seconds — can you run category frequency analysis on asset_group and fill any missing cache_gb values using median imputation on that dataset?","exampleUseCases":[{"title":"Audit asset group distribution in simulation logs","prompt":"I have 150 simulation cache rows with asset_group labels and I want to see how frequently each group appears — can you run a category frequency report on them and fill any missing cache_gb values with the median?"},{"title":"Clean nulls in simulation seconds data","prompt":"Some of my simulation cache records are missing simulation_seconds values — please fill those nulls using mean imputation and also give me a category frequency breakdown of the asset groups across all 80 rows."},{"title":"Zero-fill missing cache sizes for reporting","prompt":"I need to prep my simulation cache dataset of 60 rows for a report — can you zero-fill any missing cache_gb values and show me how the asset groups are distributed by frequency?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each asset_group value appears across the submitted rows, and (2) a filled dataset where null values in the specified numeric field (cache_gb or simulation_seconds) have been replaced using the chosen imputation method (zero, mean, or median). Both reports are computed locally with no external lookups.","failureModes":["Rows array empty or missing — returns validation error","More than 200 rows submitted — rejected, maxItems exceeded","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value not in enum [cache_gb, simulation_seconds] — rejected","Method value not in enum [zero, mean, median] — rejected","Numeric values outside allowed range — validation error","Payment not included or insufficient USDC — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have simulation cache records (with cache_gb and simulation_seconds fields) and need both a category frequency breakdown of asset groups AND missing-value imputation in a single low-cost call. It is ideal for lightweight, offline analytical preprocessing of up to 200 rows without needing a full data pipeline or external ML service. Not suitable for live prediction, forecasting, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:42.596Z","isFirstParty":false,"canonicalSlug":"simulation-caches-category-frequencies-explicit-missing-value-fill-55f30818"}