{"uid":"cap_unqPefYizjT8zjEgxf4h3","slug":"simulation-caches-record-quality-audit-exact-row-deduplication-49e6cfbb","name":"Simulation Caches — Record Quality Audit + Exact Row Deduplication + Numeric Distribution","description":"Simulation caches — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied simulation caches records (cache_gb, simulation_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-08-210?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"}}},"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_mAW3lvz5Y728pKZhcy936","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":"Runs three local analytical reports on simulation cache records: a record quality audit, exact row deduplication, and numeric distribution analysis for cache_gb and simulation_seconds fields.","exampleAgentPrompt":"Can you audit my simulation cache dataset for data quality issues, find any exact duplicate rows, and give me a numeric distribution breakdown of the cache_gb field? I have about 50 rows with row_id, asset_group, date, cache_gb, and simulation_seconds columns.","exampleUseCases":[{"title":"Deduplication check before data pipeline","prompt":"I need to check my simulation cache records for exact duplicate rows before I load them into our pipeline — can you run a dedup report on these 120 rows with cache_gb and simulation_seconds values?"},{"title":"Data quality audit for simulation team","prompt":"Our simulation team submitted cache records and I need a quality audit to catch missing values, malformed dates, or bad entries across the cache_gb and simulation_seconds fields — can you run that on these 80 rows?"},{"title":"Numeric distribution analysis of cache sizes","prompt":"Can you analyze the distribution of cache_gb values across our simulation cache records — I want to see the spread, min, max, and percentiles for around 150 rows grouped by asset_group?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging completeness and format issues per row, (2) an exact row deduplication report identifying duplicate records, and (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the selected numeric field (cache_gb or simulation_seconds). All analysis is performed locally on the supplied data — no external lookups or live data sources involved. Covers up to 200 rows per call.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) causes schema rejection","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","Empty rows array (minItems:1 violated) returns an error","Malformed numeric values outside allowed range cause schema rejection","Payment of 0.01 USDC not fulfilled causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytical reports — quality audit, deduplication, and numeric distribution — on simulation cache data in a single low-cost call. It is ideal when you have up to 200 rows of cache_gb and simulation_seconds records and want offline, stateless analysis without any external data lookups or predictions. Prefer it over separate single-purpose analytics endpoints when cost efficiency and bundled reporting on simulation cache schemas matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:11.460Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-exact-row-deduplication-49e6cfbb"}