{"uid":"cap_pLMuJ_Igw6K-3q3rVSie0","slug":"simulation-caches-adjacent-row-changes-secondary-measure-weighted-mean-144f32a2","name":"Simulation Caches — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Simulation caches — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + 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-08-159?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_Uk7nKOYjPBOVq_oSdyupF","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 adjacent row changes and secondary-measure weighted mean analytics on up to 200 simulation cache records (cache_gb, simulation_seconds) using local analytical engines.","exampleAgentPrompt":"I have simulation cache records with dates, asset groups, cache_gb, and simulation_seconds — can you run both the adjacent row changes and secondary-measure weighted mean reports on these rows using cache_gb as the primary field?","exampleUseCases":[{"title":"Cache growth delta monitoring","prompt":"Here are 50 rows of daily simulation cache records with cache_gb and simulation_seconds — run the adjacent row changes report on cache_gb so I can see how storage is growing or shrinking day to day."},{"title":"Weighted average simulation time analysis","prompt":"I have simulation records across two asset groups over the past month. Can you compute the secondary-measure weighted mean on simulation_seconds weighted by cache_gb to understand average simulation duration weighted by cache load?"},{"title":"Dual analytics report for capacity planning","prompt":"Run both the adjacent row changes and secondary-measure weighted mean reports on my 120-row simulation cache dataset — asset groups are 'gpu-cluster' and 'cpu-batch', dates range from 2026-01-01 to 2026-04-30, and I want to analyze cache_gb."}],"resultDescription":"Returns two analytical reports: (1) adjacent row changes showing the delta in the selected field (cache_gb or simulation_seconds) between consecutive rows, and (2) a secondary-measure weighted mean where the chosen field is weighted by the other measure — all computed locally without external lookups, for up to 200 input rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause validation errors","Invalid date format (not YYYY-MM-DD) rejected by pattern validation","Numeric values outside allowed range (-1e12 to 1e12) rejected","Invalid field enum value (must be 'cache_gb' or 'simulation_seconds')","Payment of 0.01 USDC not provided or fails x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records and need both row-over-row change detection and a weighted mean computation in a single API call. It is best suited for lightweight, offline analytical tasks on supplied data rather than real-time lookups or predictive modeling. Prefer this over building custom analytics when you need two specific statistical reports — adjacent delta and weighted mean — on cache_gb and simulation_seconds fields at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:09.560Z","isFirstParty":false,"canonicalSlug":"simulation-caches-adjacent-row-changes-secondary-measure-weighted-mean-144f32a2"}