{"uid":"cap_A9c72uRrkSXIQNhMzGUwH","slug":"simulation-caches-category-frequencies-adjacent-row-changes-d6787ac4","name":"Simulation Caches — Category Frequencies + Adjacent Row Changes","description":"Simulation caches — Category frequencies + Adjacent row changes: Category frequencies + 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-08-104?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_KgD1LL4HNrJTb5k66UWuO","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 to produce two reports: category frequency counts per asset group and adjacent row change deltas for cache_gb or simulation_seconds values.","exampleAgentPrompt":"Can you run the category frequency and adjacent row change reports on my simulation cache data? I have 4 rows: row-1 on 2026-10-01 with group-a, cache_gb=10, simulation_seconds=1; row-2 on 2026-10-02 with group-b, cache_gb=20, simulation_seconds=2; row-3 on 2026-10-03 with group-a, cache_gb=15, simulation_seconds=3; row-4 on 2026-10-04 with group-b, cache_gb=30, simulation_seconds=4 — and use cache_gb as the measure field.","exampleUseCases":[{"title":"Asset group distribution audit","prompt":"I have 50 simulation cache records tagged with different asset groups and I want to know how frequently each group appears — can you run a category frequency report on them using cache_gb as the field?"},{"title":"Cache size drift detection","prompt":"Can you compute the row-to-row changes in cache_gb across my simulation log entries? I want to see the adjacent row deltas alongside the category frequencies for the asset groups."},{"title":"Simulation runtime pattern analysis","prompt":"I want to analyze my simulation records to see how simulation_seconds is distributed across categories and how it changes between consecutive rows — here are 120 rows with date, row_id, asset_group, cache_gb, and simulation_seconds."}],"resultDescription":"Two analytical reports derived from the supplied simulation cache rows: (1) a category frequency table showing how often each asset_group value appears, and (2) an adjacent row change report showing the difference in the selected numeric field (cache_gb or simulation_seconds) between consecutive rows. Up to 200 rows supported per call.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) on any row — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Field selector not one of 'cache_gb' or 'simulation_seconds' — enum validation error","Null numeric values may affect adjacent change computations for affected rows","Payment of 0.01 USDC not completed — 402 response, no reports returned"],"whenToPreferThis":"Choose this endpoint when you have tabular simulation cache records and need both category-level frequency analysis and consecutive-row numeric delta analysis in a single call. It is purpose-built for simulation infrastructure data with asset_group categorization and numeric cache/time fields, and returns two coordinated reports at minimal cost. Prefer alternatives if you need live data lookup, predictive modeling, external enrichment, or more than 200 rows per request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:43.141Z","isFirstParty":false,"canonicalSlug":"simulation-caches-category-frequencies-adjacent-row-changes-d6787ac4"}