{"uid":"cap_6bvtjaqHyPBEK4y7Q8lRc","slug":"simulation-caches-record-quality-audit-exact-row-deduplication-daily-26e0548e","name":"Simulation Caches — Record Quality Audit + Exact Row Deduplication + Daily Sum Series","description":"Simulation caches — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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-08-215?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_Y83G3OgWD1Cycm_uY2gSW","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 local analytical reports on simulation cache data: a record quality audit, exact row deduplication, and a daily sum time series — all from supplied rows, no external lookups.","exampleAgentPrompt":"Can you audit the quality of these simulation cache records, remove exact duplicate rows, and give me a daily sum series for cache_gb? Here are up to 200 rows with row_id, asset_group, date, cache_gb, and simulation_seconds.","exampleUseCases":[{"title":"Cache data quality check before pipeline run","prompt":"Before we kick off the next simulation pipeline, can you audit these cache records for data quality issues, deduplicate any exact duplicate rows, and show me a daily sum of cache_gb? I have about 150 rows with row_id, asset_group, date, cache_gb, and simulation_seconds."},{"title":"Daily simulation usage rollup by group","prompt":"I need a daily sum series for simulation_seconds across these simulation cache records — can you also run a quality audit and deduplicate the rows first? Here are the records with asset_group, date, row_id, cache_gb, and simulation_seconds fields."},{"title":"Deduplication report for cache dataset reconciliation","prompt":"We're reconciling our simulation cache datasets and need to know which rows are exact duplicates, get a quality audit on the records, and see daily totals for cache_gb. Can you run all three reports on these 80 rows?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values in the supplied rows; (2) an exact row deduplication report identifying and removing identical records; and (3) a daily sum time series aggregating the selected numeric field (cache_gb or simulation_seconds) by date. All reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows results in rejection or truncation","Rows missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause validation errors","Invalid date format (non-YYYY-MM-DD) triggers schema validation failure","Numeric fields outside allowed range (-1e12 to 1e12) are rejected","Empty rows array returns an error","Selecting a field value other than 'cache_gb' or 'simulation_seconds' is invalid"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records with cache_gb and simulation_seconds fields and need three analytical operations in a single low-cost call: data quality auditing, exact deduplication, and daily sum aggregation. It is ideal when you want bundled local analytics without external lookups, predictions, or professional assessments, and when cost efficiency ($0.01 for all three reports) matters over real-time or live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:19.628Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-exact-row-deduplication-daily-26e0548e"}