{"uid":"cap_s5uRPZxOFV9UqVQMVACoZ","slug":"simulation-caches-record-quality-audit-numeric-row-ordering-ebc39a86","name":"Simulation Caches — Record Quality Audit + Numeric Row Ordering","description":"Simulation caches — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-08-007?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_DqbYnoUZOeBkQoupfJ4SR","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 two analytical reports on simulation cache data: a record quality audit and a numeric row ordering, for up to 200 rows of cache_gb and simulation_seconds data.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering on my simulation cache data? I have rows like: row-1 on 2026-10-01 for group-a with cache_gb=10 and simulation_seconds=1, row-2 on 2026-10-02 for group-b with cache_gb=20 and simulation_seconds=2 — please order by cache_gb.","exampleUseCases":[{"title":"Cache data quality check before pipeline run","prompt":"Before I kick off my next simulation pipeline, can you audit these 50 simulation cache records for quality issues? I'll send you the row IDs, asset groups, dates, cache_gb values, and simulation_seconds — flag any bad or incomplete rows and rank them by cache_gb."},{"title":"Rank simulation runs by duration","prompt":"I have 120 simulation cache records with row IDs, dates, asset groups, cache sizes, and simulation durations. Can you run the numeric row ordering report sorted by simulation_seconds so I can see which runs took the longest?"},{"title":"Spot missing values across asset groups","prompt":"Can you do a record quality audit on my simulation cache dataset? There are about 80 rows covering multiple asset groups, and I suspect some cache_gb or simulation_seconds fields might be null or out of range — please flag any quality issues."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit that flags issues such as missing, null, or out-of-range values in cache_gb and simulation_seconds fields; and (2) a numeric row ordering report that ranks the supplied rows by the chosen field (cache_gb or simulation_seconds). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) in one or more rows","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field enum value (must be 'cache_gb' or 'simulation_seconds')","Empty rows array (minItems: 1 required)","Payment failure or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records (with cache_gb and simulation_seconds fields) and need both a data quality audit and a numeric ordering report in a single $0.01 call. It is ideal for pre-pipeline validation of simulation datasets or ranking runs by resource consumption, without requiring external data access or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:04.554Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-numeric-row-ordering-ebc39a86"}