{"uid":"cap_44SDZsbE4iSGqMr3R8k_l","slug":"simulation-caches-string-normalisation-numeric-row-ordering-e3478d03","name":"Simulation Caches — String Normalisation + Numeric Row Ordering","description":"Simulation caches — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-08-025?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_W62JrCaPedI39oqKZAx5Q","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 applies numeric row ordering to simulation cache records (cache_gb, simulation_seconds), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of simulation cache records with columns row_id, asset_group, date, cache_gb, and simulation_seconds — can you run string normalisation on the asset_group field and order the rows numerically by cache_gb? I have about 50 rows across two groups.","exampleUseCases":[{"title":"Rank simulation jobs by cache size","prompt":"I've got 80 simulation cache entries with asset groups like 'group-a' and 'group-b', dates in 2026, and cache_gb values ranging from 5 to 500 — can you normalise the string fields and rank all rows by cache_gb so I can see which simulations are consuming the most cache?"},{"title":"Order simulation runs by runtime duration","prompt":"I need to sort my simulation records by simulation_seconds to find the longest-running jobs — I have 120 rows with row IDs, asset groups, dates, and both cache_gb and simulation_seconds filled in. Please normalise the strings and give me numeric row ordering on simulation_seconds."},{"title":"Audit and rank mixed asset group cache records","prompt":"My simulation dataset has 40 rows across several asset groups with inconsistent capitalisation — can you normalise the asset_group strings and then rank all rows numerically by cache_gb so the output is clean and ordered for my report?"}],"resultDescription":"Returns two analytical reports: one covering string normalisation of text fields (such as asset_group) and one providing numeric row ordering for the selected measure (cache_gb or simulation_seconds), covering all supplied rows up to 200. No external data is fetched; all analysis is performed on the submitted records.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Numeric fields outside allowed range cause validation failure","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of simulation cache records — specifically string normalisation of categorical fields and numeric ordering of cache_gb or simulation_seconds — without requiring any external lookups, predictions, or live data. Ideal for small-to-medium datasets (up to 200 rows) where you want two tidy reports cheaply ($0.01 USDC) and quickly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:55.736Z","isFirstParty":false,"canonicalSlug":"simulation-caches-string-normalisation-numeric-row-ordering-e3478d03"}