{"uid":"cap_jUVmAjq5uN2nxItTGuzpc","slug":"simulation-caches-duplicate-key-report-missing-value-fill-fad3a313","name":"Simulation Caches Duplicate Key Report + Missing Value Fill","description":"Simulation caches — Duplicate key report + Explicit missing-value fill: Duplicate key report + 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-08-070?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_uhVm59dZFGwaJFvur1J9Y","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":"Analyzes up to 200 simulation cache records to produce a duplicate key report and fill missing values in cache_gb or simulation_seconds using zero, mean, or median imputation.","exampleAgentPrompt":"Can you check my simulation cache records for duplicate row IDs and also fill in any missing cache_gb values using the median — I have about 50 rows with fields like row_id, asset_group, date, cache_gb, and simulation_seconds.","exampleUseCases":[{"title":"Deduplicating simulation cache pipeline data","prompt":"I've got 120 rows of simulation cache data with row_id, asset_group, date, cache_gb, and simulation_seconds — can you run a duplicate key report to find any repeated row IDs and fill the missing cache_gb values using the mean?"},{"title":"Imputing nulls before simulation analytics","prompt":"Before I run my analysis, I need to fill in the missing simulation_seconds values in my 80-row dataset using zero imputation, and also check if there are any duplicate keys — can you do both at once?"},{"title":"Data quality audit for asset group caches","prompt":"I have a simulation cache table with entries for group-a and group-b across several dates, some cache_gb values are null — please flag any duplicate row_ids and fill those nulls using the median value."}],"resultDescription":"Returns two independent reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) a missing-value fill report showing which rows had null cache_gb or simulation_seconds values and what replacement values were applied using the chosen method (zero, mean, or median). Both reports are generated from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, asset_group, date) cause validation errors","All values present with no nulls — missing-value fill report will be empty","No duplicate keys found — duplicate report will be empty","Invalid method enum value (not zero/mean/median) causes parameter error","Invalid field enum value (not cache_gb/simulation_seconds) causes parameter error"],"whenToPreferThis":"Choose this endpoint when you need both duplicate-key detection and missing-value imputation for simulation cache records (cache_gb and simulation_seconds) in a single call for up to 200 rows. It is ideal for pre-processing simulation data pipelines where row uniqueness and field completeness are required before downstream analytics, and when no external data lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:33.011Z","isFirstParty":false,"canonicalSlug":"simulation-caches-duplicate-key-report-missing-value-fill-fad3a313"}