{"uid":"cap_LbyBm2KObt8XrEVlG_G8k","slug":"simulation-caches-duplicate-key-report-date-by-category-pivot-7aaec617","name":"Simulation Caches — Duplicate Key Report + Date by Category Pivot","description":"Simulation caches — Duplicate key report + Date by category pivot: Duplicate key report + 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-08-068?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_fLxrrZ1DCiSbEu2qMs2ix","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":"Analyzes supplied simulation cache records to produce a duplicate key report and a date-by-category pivot table, up to 200 rows, with no external lookups.","exampleAgentPrompt":"Can you run a duplicate key report and a date-by-category pivot on my simulation cache records? I have rows with row_id, asset_group, date, cache_gb, and simulation_seconds — I want to pivot on cache_gb.","exampleUseCases":[{"title":"Audit simulation cache for duplicate keys","prompt":"I have 150 rows of simulation cache data with row IDs, asset groups, dates, and cache_gb values — can you scan them for any duplicate row IDs and give me a full duplicate key report?"},{"title":"Pivot cache usage by date and asset group","prompt":"Take my simulation cache records across groups A and B from October 2026 and build a pivot table showing cache_gb broken down by date and asset group so I can see usage patterns."},{"title":"Validate and summarize simulation run data","prompt":"I've got a batch of simulation records with cache sizes and run durations — can you check them for duplicate keys and also pivot the simulation_seconds field by date and category to help me spot anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values across the supplied records, and (2) a date-by-category pivot table aggregating the chosen numeric field (cache_gb or simulation_seconds) broken down by date and asset_group. Both reports cover up to 200 input rows and are computed locally with no external data lookups.","failureModes":["Input array is empty or missing — validation error returned","More than 200 rows supplied — request rejected with max items error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Required fields (row_id, asset_group, date) missing from a row — schema validation error","Invalid field enum value (not cache_gb or simulation_seconds) — enum validation error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical outputs — a duplicate key audit and a date-by-category pivot — on simulation cache data (cache_gb, simulation_seconds) in a single low-cost call. Ideal for data quality checks and temporal summarization of small-to-medium simulation datasets (up to 200 rows) without needing a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:13.110Z","isFirstParty":false,"canonicalSlug":"simulation-caches-duplicate-key-report-date-by-category-pivot-7aaec617"}