{"uid":"cap_rMc1WmevPFmuCPWapqAZ0","slug":"simulation-caches-record-quality-audit-date-by-category-pivot-416008eb","name":"Simulation Caches — Record Quality Audit + Date by Category Pivot","description":"Simulation caches — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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-08-017?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_43frobd5kr2UaDsCZE6VN","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 local analytical reports on simulation cache records: a record quality audit and a date-by-category pivot, for up to 200 rows of cache_gb and simulation_seconds data.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on my simulation cache data? I have up to 50 rows with fields like cache_gb and simulation_seconds, grouped by asset_group and dated by day — focus the analysis on cache_gb.","exampleUseCases":[{"title":"Cache storage quality check","prompt":"I have a dataset of simulation cache records with cache sizes and run times across different asset groups — can you audit the record quality and flag any missing or problematic values in the cache_gb field?"},{"title":"Date-grouped simulation pivot","prompt":"Take these 120 rows of simulation cache data with dates and asset groups and give me a pivot showing cache_gb totals broken down by date and category, plus a quality audit of the records."},{"title":"Multi-group cache trend analysis","prompt":"I need two reports on my simulation cache records: first a quality audit to spot bad data, and second a date-by-category pivot on simulation_seconds so I can see how each asset group's simulation time varies day by day — I have about 80 rows to analyze."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging completeness, validity, and anomaly issues per row across cache_gb and simulation_seconds fields; (2) a date-by-category pivot table summarizing the selected field (cache_gb or simulation_seconds) grouped by date and asset_group. Both reports are computed locally without external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the limit and is rejected","Invalid date format (not YYYY-MM-DD) causes row rejection or validation failure","Unrecognized field enum value (not cache_gb or simulation_seconds) causes an error","All-null values for the selected field may produce empty pivot output","row_id missing or empty causes schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of simulation cache records (cache_gb, simulation_seconds) and need both a data quality audit and a date-by-category pivot in a single cheap call ($0.01 USDC). It is ideal for offline/local analytics with no external dependencies, real-time lookups, or side effects. Prefer it over general-purpose analytics tools when you specifically need these two paired reports on simulation cache-domain data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:05.728Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-date-by-category-pivot-416008eb"}