{"uid":"cap_nO7sMa0njH_1riyji1sKO","slug":"simulation-caches-string-normalisation-daily-sum-series-515f7531","name":"Simulation Caches — String Normalisation + Daily Sum Series","description":"Simulation caches — String normalisation + Daily sum series: String normalisation + Daily sum 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-08-027?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_kFtOk2ZNIRXZ6vtgcYXHt","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":"Runs two analytical reports on supplied simulation cache records: string normalisation of asset groups and a daily sum series for numeric cache metrics.","exampleAgentPrompt":"Can you run string normalisation on the asset group labels and compute the daily sum series for cache_gb across my simulation cache rows? I have 4 records: row-1 on 2026-10-01 with cache_gb=10 for group-a with 1 simulation second, row-2 on 2026-10-02 with cache_gb=20 for group-b with 2 simulation seconds, row-3 on 2026-10-03 with cache_gb=15 for group-a with 3 simulation seconds, and row-4 on 2026-10-04 with cache_gb=30 for group-b with 4 simulation seconds.","exampleUseCases":[{"title":"Daily cache GB rollup for simulation runs","prompt":"I have 50 simulation cache log rows from October, each tagged with a date, asset group, cache_gb, and simulation_seconds — can you compute the daily sum series for cache_gb across all those rows and also normalise the asset group strings?"},{"title":"Simulation time aggregation by date","prompt":"Please take these 120 simulation records with dates and simulation_seconds values, normalise the asset group labels, and give me the daily total simulation seconds summed up per day."},{"title":"Cleaning group labels in cache dataset","prompt":"My cache dataset has inconsistent asset_group strings and I want them normalised, and I also need a daily sum series for simulation_seconds — can you run both reports on my 80 rows?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report on the asset_group field, cleaning and standardising group label strings across all supplied rows; and (2) a daily sum series report aggregating the chosen numeric field (cache_gb or simulation_seconds) into per-date totals. Both reports are derived entirely from the supplied input rows with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows supplied — request rejected","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) on any row","Date field not matching YYYY-MM-DD pattern — validation error","Numeric values outside the allowed range (±1,000,000,000,000) — rejected","Invalid enum value for 'field' parameter (must be 'cache_gb' or 'simulation_seconds')","Payment of 0.01 USDC not completed — 402 response, no reports returned"],"whenToPreferThis":"Choose this endpoint when you have simulation cache records with asset group labels and want both string normalisation of categorical fields and a daily aggregated sum series in a single call, without needing live data, external lookups, or predictions. It is ideal for offline batch analysis of up to 200 rows of simulation log data at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:26.803Z","isFirstParty":false,"canonicalSlug":"simulation-caches-string-normalisation-daily-sum-series-515f7531"}