{"uid":"cap_md67vBjkDFDn9wMy7xW79","slug":"simulation-caches-string-normalisation-grouped-numeric-summary-77585e21","name":"Simulation Caches — String Normalisation + Grouped Numeric Summary","description":"Simulation caches — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-08-023?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_b3HPtp776gKTY-bfk09Xt","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":"Normalises string fields and produces grouped numeric summaries for simulation cache records containing cache_gb and simulation_seconds metrics, across up to 200 rows.","exampleAgentPrompt":"I have a set of simulation cache records with asset groups, dates, cache sizes in GB, and simulation seconds — can you normalise the asset group strings and give me a grouped numeric summary of cache_gb for up to 200 rows?","exampleUseCases":[{"title":"Cache usage summary by asset group","prompt":"I have 150 simulation cache records with fields row_id, asset_group, date, cache_gb, and simulation_seconds — can you normalise the asset_group strings and produce a grouped numeric summary of cache_gb so I can see how cache usage breaks down per group?"},{"title":"Simulation duration analysis across groups","prompt":"Here are my simulation cache logs with asset groups and simulation_seconds values for about 80 rows — please normalise the group name strings and generate a grouped summary on simulation_seconds so I can compare simulation durations across asset groups."},{"title":"Data quality cleanup for cache records","prompt":"I need to clean up my simulation cache dataset: normalise any messy asset_group strings and then give me a grouped numeric breakdown of cache_gb — I have around 50 records with dates, row IDs, cache sizes, and simulation seconds."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report on the asset_group field, cleaning and standardising values across supplied rows, and (2) a grouped numeric summary of the selected numeric field (cache_gb or simulation_seconds) aggregated by asset_group, including descriptive statistics per group. All computed locally from supplied data with no external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation errors","Exceeding 200 rows returns an error — input must be trimmed to the limit","Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure","Null values in both numeric fields may degrade summary quality","Non-numeric values in cache_gb or simulation_seconds outside allowed range cause schema rejection","Payment failure or insufficient USDC balance prevents call execution"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of categorical/group labels AND grouped numeric aggregation on simulation cache data (cache_gb or simulation_seconds) in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want two distinct analytical reports from a single low-cost request without requiring an external analytics pipeline or database.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:01.302Z","isFirstParty":false,"canonicalSlug":"simulation-caches-string-normalisation-grouped-numeric-summary-77585e21"}