{"uid":"cap_1UWByO_uwfuyS5L60v5sb","slug":"simulation-caches-numeric-row-ordering-secondary-measure-weighted-mean-d66b0d55","name":"Simulation Caches — Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Simulation caches — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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-08-121?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_6_I55ULpB9XP-V1HVcK5B","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":"Computes numeric row ordering and secondary-measure weighted mean analytics on supplied simulation cache records (cache_gb, simulation_seconds) for up to 200 rows.","exampleAgentPrompt":"Rank these simulation cache rows by cache_gb and compute the weighted mean of simulation_seconds: row-1 on 2026-10-01 for group-a has cache_gb=10 and simulation_seconds=1, row-2 on 2026-10-02 for group-b has cache_gb=20 and simulation_seconds=2, row-3 on 2026-10-03 for group-a has cache_gb=15 and simulation_seconds=3.","exampleUseCases":[{"title":"Ranking simulation cache entries by storage size","prompt":"I have 50 simulation cache records from different asset groups with their cache sizes in GB and run durations in seconds — can you rank them numerically by cache_gb and also compute the weighted mean of simulation_seconds?"},{"title":"Weighted performance summary for simulation jobs","prompt":"Here are my simulation cache logs for October — each row has a row ID, date, asset group, cache_gb, and simulation_seconds. Give me numeric ordering by cache_gb and the weighted mean of simulation_seconds across all rows."},{"title":"Asset group cache analytics for capacity planning","prompt":"I need two reports on my simulation cache data: first rank all 80 rows by their cache_gb values, and second compute the weighted mean of cache_gb using simulation_seconds as the secondary measure — can you run both on the records I'm supplying?"}],"resultDescription":"Two analytical reports on the supplied simulation cache records: (1) a numerically ordered ranking of rows by the chosen field (cache_gb or simulation_seconds), and (2) a secondary-measure weighted mean calculation — all computed locally from the provided data with no external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) on any row — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric field values outside allowed range — rejected","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records with cache_gb and simulation_seconds fields and need both numeric row ranking and a weighted mean computed in a single call at low cost ($0.01 USDC). Ideal for offline/batch analytical tasks on already-collected simulation data where no live data fetching, prediction, or external action is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:55:36.700Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-row-ordering-secondary-measure-weighted-mean-d66b0d55"}