{"uid":"cap_8Sbxgs6-eolzmGnhw_LH_","slug":"simulation-caches-base-100-series-secondary-measure-weighted-mean-45ca0d62","name":"Simulation Caches — Base-100 Series + Secondary-Measure Weighted Mean","description":"Simulation caches — Base-100 series + Secondary-measure weighted mean: Base-100 series + 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-08-166?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_hx52E32CqiIu99hFgQbc8","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 a Base-100 index series and a secondary-measure weighted mean for supplied simulation cache records (cache_gb, simulation_seconds) across up to 200 rows.","exampleAgentPrompt":"Take my simulation cache records — row-1 on 2026-10-01 with cache_gb=10 and simulation_seconds=1 for group-a, row-2 on 2026-10-02 with cache_gb=20 and simulation_seconds=2 for group-b — and generate a Base-100 index series using cache_gb starting from row index 0, plus a weighted mean of simulation_seconds.","exampleUseCases":[{"title":"Cache growth trend indexing","prompt":"I have 50 daily simulation cache readings across two asset groups. Can you index the cache_gb values to a base-100 series starting from the first row and also give me the weighted mean of simulation_seconds across all the rows?"},{"title":"Multi-group simulation performance baseline","prompt":"Here are my simulation records for groups alpha and beta covering Q4 — each row has a date, cache size in GB, and simulation duration in seconds. Please produce a base-100 index on cache_gb from row index 0 and a secondary weighted mean for simulation_seconds."},{"title":"Post-sprint cache efficiency review","prompt":"After our last sprint we captured 120 rows of simulation cache data with cache_gb and simulation_seconds per asset group. Run both the base-100 normalization on cache_gb and the secondary-measure weighted mean so I can see how efficiency changed over time."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 index series showing each row's primary field value (cache_gb or simulation_seconds) normalized relative to the chosen base row, and (2) a weighted mean of the secondary measure across the supplied rows. Results cover up to 200 input rows and are computed locally without external lookups.","failureModes":["Missing required row fields (row_id, date, cache_gb, simulation_seconds) cause validation errors","More than 200 rows in the input array exceeds the maximum and will be rejected","Invalid date format (not YYYY-MM-DD) fails schema validation","base_index out of range (>= number of rows) causes indexing failure","Null values for both numeric fields on a row may produce incomplete statistics","Malformed JSON body results in a 400-level error"],"whenToPreferThis":"Choose this endpoint when you have tabular simulation cache data (cache_gb and simulation_seconds) and need both a base-100 normalization series and a weighted mean in a single low-cost call ($0.01 USDC for both reports). It is ideal for offline/batch analytical use cases where no live data lookup or external prediction is required and up to 200 rows of supplied data are sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:52.414Z","isFirstParty":false,"canonicalSlug":"simulation-caches-base-100-series-secondary-measure-weighted-mean-45ca0d62"}