{"uid":"cap_xGyj7eEm6HmxHWr3r2wXw","slug":"simulation-caches-string-normalisation-base-100-series-20c79dc4","name":"Simulation Caches — String Normalisation + Base-100 Series","description":"Simulation caches — String normalisation + Base-100 series: String normalisation + Base-100 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-08-030?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_RIiUNlNu2PYG8TnEvi4Xs","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":"Performs string normalisation and base-100 index series analysis on user-supplied simulation cache records (cache_gb, simulation_seconds) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and base-100 indexing on my simulation cache data? I have 4 rows with cache_gb values [10, 20, 15, 30] for groups A and B from October 2026, and I want to index on cache_gb starting from row 0.","exampleUseCases":[{"title":"Rebase HPC cache growth to baseline","prompt":"I have weekly simulation cache readings in gigabytes across two asset groups over the last quarter — can you normalise the strings and give me a base-100 index series starting from the first row so I can see relative growth?"},{"title":"Compare simulation runtimes across groups","prompt":"Take these simulation_seconds records for my asset groups and produce a base-100 index series starting at index 0, plus string normalisation — I want to see how run times have changed relative to the baseline across all 50 rows."},{"title":"Audit cache usage trends for capacity planning","prompt":"I need two analytical reports on my simulation cache dataset: string normalisation and a base-100 series for cache_gb, using the first row as the base index. Here are my 120 rows with row IDs, dates, asset groups, cache_gb, and simulation_seconds."}],"resultDescription":"Two structured analytical reports for the submitted simulation cache rows: (1) string-normalised representations of the selected field values, and (2) a base-100 index series anchored at the specified base_index row — covering up to 200 rows per call, computed entirely on supplied data with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows submitted causes a rejection due to maxItems constraint","Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) in any row causes an error","base_index value exceeding the number of submitted rows may yield undefined indexing behaviour","Non-numeric cache_gb or simulation_seconds values outside allowed range cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular simulation cache records with cache_gb and simulation_seconds fields and need both string normalisation and base-100 index series in a single low-cost call ($0.01 USDC for two reports). It is ideal for offline/batch analytical tasks on supplied data — no external data sources, predictions, or live lookups are involved. Prefer it over general-purpose analytics tools when you want deterministic, reproducible indexing anchored to a specific base row within a compact dataset of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:03.967Z","isFirstParty":false,"canonicalSlug":"simulation-caches-string-normalisation-base-100-series-20c79dc4"}