{"uid":"cap_So3Ko5L6ipQqe97SUllyP","slug":"simulation-caches-string-normalisation-category-frequencies-e47c1f67","name":"Simulation Caches String Normalisation + Category Frequencies","description":"Simulation caches — String normalisation + Category frequencies: String normalisation + Category frequencies 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-08-024?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}}},"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_oy-l_DAJJcEdaDlyuO4tt","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 string normalisation and category frequency analysis on up to 200 rows of simulation cache data (cache_gb, simulation_seconds), returning two analytical reports.","exampleAgentPrompt":"Can you normalize the string fields and give me the category frequency breakdown for these simulation cache records? I have 4 rows: row-1 on 2026-10-01 with group-a, 10 GB cache and 1 simulation second; row-2 on 2026-10-02 with group-b, 20 GB cache and 2 simulation seconds; row-3 on 2026-10-03 with group-a, 15 GB cache and 3 simulation seconds; row-4 on 2026-10-04 with group-b, 30 GB cache and 4 simulation seconds.","exampleUseCases":[{"title":"Audit simulation asset group distribution","prompt":"I have a batch of simulation cache records with asset groups like 'Group-A', 'group_a', and 'GROUP A' — can you normalize those strings and tell me the frequency of each category across all 150 rows?"},{"title":"Clean cache dataset before pipeline ingestion","prompt":"Before I load these simulation records into our data pipeline, can you standardize the asset_group string values and give me a frequency count per category? Here are 80 rows with cache_gb and simulation_seconds fields."},{"title":"Summarize category breakdown for simulation report","prompt":"I need a quick frequency report on how many records fall into each asset group in my simulation cache dataset — can you also normalize the group name strings? I have about 50 rows with dates ranging from 2026-09-01 to 2026-09-30."}],"resultDescription":"Returns two analytical reports: (1) string normalisation results for the asset_group and other string fields across the submitted rows, and (2) category frequency counts showing how often each distinct asset_group value appears in the dataset. Up to 200 rows processed per call.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range — schema rejection","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and category frequency analysis on simulation cache records (cache_gb, simulation_seconds) in a single call at low cost. It is best suited for offline or batch analytical tasks on up to 200 rows of already-collected data, where no live data lookup, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:27.963Z","isFirstParty":false,"canonicalSlug":"simulation-caches-string-normalisation-category-frequencies-e47c1f67"}