{"uid":"cap_Oj6XImWZs-3UO1wIX1HmO","slug":"simulation-caches-record-quality-audit-numeric-interval-filter-c193cac3","name":"Simulation Caches — Record Quality Audit + Numeric Interval Filter","description":"Simulation caches — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-08-008?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_vFqfOjlIBLRD7UyqkTI0b","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":"Audits data quality and filters by numeric interval for simulation cache records (cache_gb, simulation_seconds) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you audit the data quality and filter by cache_gb between 0 and 100 for these simulation cache records — I have 4 rows with fields row_id, asset_group, date, cache_gb, and simulation_seconds — and give me both reports?","exampleUseCases":[{"title":"Cache size range compliance check","prompt":"I have a list of simulation cache records across two asset groups and I want to flag any entries where cache_gb falls outside the 5 to 500 range — can you run the quality audit and interval filter on the cache_gb field for all 150 rows?"},{"title":"Simulation duration outlier detection","prompt":"Can you audit data quality and filter to only rows where simulation_seconds is between 60 and 3600 for my simulation dataset? I've got about 80 rows with row_id, date, asset_group, cache_gb, and simulation_seconds."},{"title":"Pre-ingestion data validation for simulation pipeline","prompt":"Before I load these simulation cache records into our database, can you run a record quality audit and check that the cache_gb values are all between 0 and 200? I have 200 rows ready to submit."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, and anomalies across the submitted rows, and (2) a numeric interval filter report listing which rows have the specified field (cache_gb or simulation_seconds) within the defined minimum-maximum range. Both reports are generated locally from the supplied data without external lookups.","failureModes":["Empty rows array or missing required row fields (row_id, date, cache_gb, simulation_seconds) causes validation error","More than 200 rows submitted exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) in row data","Field enum value not matching 'cache_gb' or 'simulation_seconds'","Minimum greater than maximum causes undefined filter behavior","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric range filter on simulation cache records (cache_gb or simulation_seconds) in a single low-cost call. It is ideal for pre-ingestion validation workflows, compliance checks on cache sizing, or simulation duration bounding — all without requiring external data sources or live lookups. Best suited for batch sizes up to 200 rows where both report types are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:11.459Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-numeric-interval-filter-c193cac3"}