{"uid":"cap_UauvBPsJbTXM33y_uR-IU","slug":"simulation-caches-numeric-row-ordering-base-100-series-9f301280","name":"Simulation Caches — Numeric Row Ordering + Base-100 Series","description":"Simulation caches — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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-08-117?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_68UIgfVnz1AvyRCCFMkdF","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":"Ranks simulation cache records by a chosen numeric field and computes a base-100 index series for up to 200 supplied rows across cache_gb and simulation_seconds metrics.","exampleAgentPrompt":"Rank my simulation cache records by cache_gb and give me a base-100 index series starting at index 0 — here are my rows: group-a had 10 GB on 2026-10-01, group-b had 20 GB on 2026-10-02, group-a had 15 GB on 2026-10-03, and group-b had 30 GB on 2026-10-04.","exampleUseCases":[{"title":"Cache size ranking across asset groups","prompt":"I have four simulation cache records for group-a and group-b across October — cache sizes are 10, 20, 15, and 30 GB. Can you rank them by cache_gb and produce a base-100 index series starting from position 0?"},{"title":"Simulation runtime performance indexing","prompt":"Rank my simulation run records by simulation_seconds and give me a base-100 index series. I have rows: row-1 took 1 second, row-2 took 2 seconds, row-3 took 3 seconds, row-4 took 4 seconds, all dated from 2026-10-01 through 2026-10-04."},{"title":"Multi-group cache trend normalization","prompt":"I need both a numeric ordering report and a base-100 index for cache_gb across my simulation cache data — I've got 8 rows split between group-a and group-b spanning two weeks, and I want to see the relative scale with base_index set to 0."}],"resultDescription":"Returns two analytical reports on the supplied simulation cache rows: (1) a numeric row ordering (ranked list of rows sorted by the chosen field, either cache_gb or simulation_seconds), and (2) a base-100 index series normalizing that field's values relative to the chosen base row. Covers up to 200 input rows using local analytical engines with no external data lookups.","failureModes":["Fewer than 1 row supplied — minItems violation returns a validation error","More than 200 rows supplied — maxItems limit exceeded","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in the selected numeric field may affect ranking and index computation","base_index exceeds number of rows minus one — out-of-range error","field value not one of 'cache_gb' or 'simulation_seconds' — enum validation error","Missing required row fields (row_id, asset_group, date) cause request rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records with cache_gb and/or simulation_seconds values and need both a ranked ordering and a base-100 normalized index series in a single low-cost call ($0.01 USDC). It is purely analytical — no live data, no predictions — making it ideal for offline batch analysis of simulation performance data. Prefer it over general-purpose analytics tools when you specifically need numeric ranking paired with base-100 indexing for simulation cache metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:50.338Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-row-ordering-base-100-series-9f301280"}