{"uid":"cap_Oss0uhARVOpd520AocSKr","slug":"simulation-caches-numeric-distribution-adjacent-row-changes-40b81a5a","name":"Simulation Caches — Numeric Distribution + Adjacent Row Changes","description":"Simulation caches — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-08-077?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_eZID4nsImJEwGFZQTT3g0","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":"Analyzes simulation cache records by computing numeric distribution statistics and adjacent-row change deltas for cache_gb or simulation_seconds fields across up to 200 supplied rows.","exampleAgentPrompt":"Analyze the distribution of cache_gb values and show me how each row's cache_gb changes from one row to the next for these simulation cache records: row-1 on 2026-10-01 group-a 10 GB 1s, row-2 on 2026-10-02 group-b 20 GB 2s, row-3 on 2026-10-03 group-a 15 GB 3s, row-4 on 2026-10-04 group-b 30 GB 4s.","exampleUseCases":[{"title":"Profiling cache growth across simulation runs","prompt":"I have 50 simulation cache records with asset groups, dates, cache_gb and simulation_seconds — can you give me the numeric distribution of cache_gb values and show me how cache_gb changes between each consecutive row?"},{"title":"Detecting sudden simulation duration spikes","prompt":"Run a numeric distribution and adjacent-row change analysis on my simulation_seconds data for these 120 records so I can spot where simulation duration jumps unexpectedly between rows."},{"title":"Comparing cache usage across asset groups over time","prompt":"Here are 80 rows of simulation cache data with group-a and group-b entries — analyze the cache_gb field to get its distribution stats and the row-to-row deltas so I can see how cache usage evolves."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report covering statistics such as min, max, mean, median, percentiles, and bin frequencies for the selected field (cache_gb or simulation_seconds); and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field, across up to 200 supplied simulation cache records.","failureModes":["Missing required fields (row_id, date, asset_group) cause validation errors","More than 200 rows submitted exceeds the maxItems limit","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside the allowed range cause schema rejection","Empty rows array (minItems:1 violation) returns an error","Invalid field enum value (not cache_gb or simulation_seconds) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records and need both a numeric distribution profile and adjacent-row change analysis in a single $0.01 call. It is specifically tailored for simulation caches with cache_gb and simulation_seconds fields, making it more appropriate than generic statistics tools when your data matches this schema. Prefer it when you need two complementary analytical views (distribution + sequential deltas) delivered together without any live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:50.828Z","isFirstParty":false,"canonicalSlug":"simulation-caches-numeric-distribution-adjacent-row-changes-40b81a5a"}