{"uid":"cap_PLHRLUaxAfXqQzEri-B7D","slug":"simulation-caches-exact-row-deduplication-date-by-category-pivot-52e5b351","name":"Simulation Caches — Exact Row Deduplication + Date by Category Pivot","description":"Simulation caches — Exact row deduplication + Date by category pivot: Exact row deduplication + 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-08-052?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_Jzq4nl7J48NFsUCXf3GBm","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":"Deduplicates simulation cache records by exact row match and produces a date-by-category pivot table for cache_gb or simulation_seconds metrics, across up to 200 supplied rows.","exampleAgentPrompt":"Can you deduplicate these simulation cache records and pivot the cache_gb values by date and asset group? I have about 50 rows with fields row_id, asset_group, date, cache_gb, and simulation_seconds.","exampleUseCases":[{"title":"Cache usage deduplication audit","prompt":"I've got a list of simulation cache records with row_id, asset_group, date, cache_gb, and simulation_seconds — some rows are exact duplicates. Can you deduplicate them and also give me a pivot of cache_gb broken down by date and asset group?"},{"title":"Simulation time pivot by group","prompt":"Here are my simulation records across groups A and B over the past month. Can you remove any exact duplicate rows and then pivot the simulation_seconds values by date and asset_group so I can see the breakdown clearly?"},{"title":"Cache growth trend by category","prompt":"I need to understand how cache_gb is distributed across my asset groups over time. Can you take these 120 simulation cache rows, deduplicate them, and show me a date-by-category pivot for cache_gb?"}],"resultDescription":"Returns two reports: (1) a deduplicated set of the supplied simulation cache rows with exact duplicate records removed, and (2) a pivot table showing either cache_gb or simulation_seconds values organized by date (rows) and asset_group (columns), computed entirely from the supplied data with no external lookups.","failureModes":["Rows exceeding 200 items will be rejected (maxItems constraint)","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Null values for cache_gb or simulation_seconds are allowed but may produce sparse pivot cells","Invalid field enum value (must be 'cache_gb' or 'simulation_seconds') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have raw simulation cache records (with cache_gb and simulation_seconds metrics) that need exact duplicate removal combined with a date-by-category pivot in a single low-cost call. Ideal for data engineering pipelines, cache auditing, or reporting workflows where you supply the data and want two analytical reports — deduplication and pivot — without needing live data lookups or predictions. Best suited for datasets up to 200 rows priced at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:38.955Z","isFirstParty":false,"canonicalSlug":"simulation-caches-exact-row-deduplication-date-by-category-pivot-52e5b351"}