{"uid":"cap_U6-uFXZhYSOfdI9ARLkll","slug":"simulation-caches-record-quality-audit-string-normalisation-two-1c5e645c","name":"Simulation Caches — Record Quality Audit + String Normalisation + Two-Measure Correlation","description":"Simulation caches — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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-08-204?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}}},"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_bKUy4PP1gQnxOKDQVqFbf","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 analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of simulation cache data (cache_gb, simulation_seconds) using local engines with no external lookups.","exampleAgentPrompt":"Can you audit the quality of these simulation cache records, normalise the string fields, and run a correlation between cache_gb and simulation_seconds? Here are up to 200 rows with row_id, asset_group, date, cache_gb, and simulation_seconds values I want analysed.","exampleUseCases":[{"title":"Data quality check on cache records","prompt":"I have a batch of simulation cache records with cache_gb and simulation_seconds values and I'm worried some rows have missing or malformed data — can you run a record quality audit and normalise the asset_group strings across all of them?"},{"title":"Correlation between cache size and simulation time","prompt":"I want to know if there's a meaningful correlation between cache size in GB and how long simulations take in seconds across these 200 rows of data — can you run the two-measure correlation report for me?"},{"title":"Pre-pipeline data validation for simulation logs","prompt":"Before I load these simulation cache logs into our pipeline, can you check record quality, clean up the string fields, and tell me how cache_gb and simulation_seconds relate to each other across the dataset?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging completeness, consistency, and validity issues; (2) a string normalisation report cleaning and standardising text fields like asset_group; and (3) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across the submitted rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause row-level or request-level rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in both numeric measures may degrade or invalidate the correlation report","Payment not included or insufficient USDC causes request rejection"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-efficient set of three analytical passes — quality audit, string normalisation, and correlation — on simulation cache data in a single $0.01 call. Ideal for pre-pipeline validation of simulation logs or ad hoc data health checks on datasets up to 200 rows. Not suitable for live prediction, real-time monitoring, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:02.488Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-string-normalisation-two-1c5e645c"}