{"uid":"cap_ZXkNDHePAkwYVLXHxPM_d","slug":"simulation-caches-record-quality-audit-adjacent-row-changes-415587b8","name":"Simulation Caches — Record Quality Audit + Adjacent Row Changes","description":"Simulation caches — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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-08-011?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_SVihnyYz4FaYAru71jIgf","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":"Performs two local analytical reports on simulation cache data: a record quality audit and adjacent row change detection for up to 200 rows of cache_gb and simulation_seconds data.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row changes report on my simulation cache data? Here are 4 rows with cache_gb and simulation_seconds values across two asset groups — group-a and group-b — dated from 2026-10-01 to 2026-10-04, and I want to analyze the cache_gb field.","exampleUseCases":[{"title":"Simulation pipeline data quality check","prompt":"I have a week's worth of simulation cache records for two asset groups with cache_gb and simulation_seconds values — can you audit them for quality issues and flag any adjacent row changes in the cache_gb field?"},{"title":"Detecting cache size jumps between runs","prompt":"My simulation cache table has about 50 rows with daily entries — please run the adjacent row changes analysis on the simulation_seconds column so I can see where big jumps happen between consecutive runs."},{"title":"Pre-report data validation for simulation team","prompt":"Before I share this simulation cache dataset with my team, can you do a record quality audit on these 120 rows covering cache_gb and simulation_seconds to catch any missing values, out-of-range entries, or suspicious records?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging data issues, null values, or anomalies in the supplied simulation cache rows; and (2) an adjacent row changes report showing differences between consecutive rows for the selected field (cache_gb or simulation_seconds). Results are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, asset_group, date, cache_gb, or simulation_seconds) in any row","Invalid date format (must be YYYY-MM-DD)","Numeric values outside the allowed range (-1e12 to 1e12)","Invalid field enum value — must be 'cache_gb' or 'simulation_seconds'","Empty rows array — minItems is 1"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical reports — a quality audit and adjacent row change detection — on simulation cache data (cache_gb, simulation_seconds) for up to 200 rows, all computed locally without any external API calls or live data lookups. It is cost-effective at $0.01 USDC for both reports simultaneously. Prefer it over single-report endpoints when you need both quality flagging and row-to-row change analysis in one call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:47.773Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-adjacent-row-changes-415587b8"}