{"uid":"cap_9FeU7FVNO4IZb0OMR0txS","slug":"simulation-caches-category-frequencies-iqr-outlier-flags-66a784db","name":"Simulation Caches — Category Frequencies + IQR Outlier Flags","description":"Simulation caches — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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-08-107?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_BqmgI8Q1FzrrN-ocyMmBB","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":"Computes category frequency distributions and IQR-based outlier flags for simulation cache records (cache_gb and simulation_seconds fields) on up to 200 supplied rows.","exampleAgentPrompt":"Can you analyze my simulation cache dataset — I have 4 rows with asset groups 'group-a' and 'group-b', cache sizes in GB, and simulation durations in seconds — and give me the category frequency breakdown plus flag any IQR outliers in the cache_gb field?","exampleUseCases":[{"title":"Outlier detection in render farm cache usage","prompt":"I have a list of 50 simulation cache records with asset groups, dates, cache sizes in GB, and simulation durations. Can you flag which cache_gb values are IQR outliers and tell me how frequently each asset group appears?"},{"title":"Audit simulation run duration anomalies","prompt":"Here are 120 rows of simulation data with row IDs, asset groups, dates, cache sizes, and simulation seconds — can you compute the category frequencies for asset_group and flag any IQR outliers in the simulation_seconds field?"},{"title":"Validate simulation data quality before pipeline ingestion","prompt":"Before I ingest this batch of 80 simulation cache records, can you run a frequency analysis on the asset groups and check if any of the cache_gb values are statistical outliers using IQR?"}],"resultDescription":"Two analytical reports on the supplied simulation cache data: (1) a category frequency table showing how often each distinct asset_group value appears, and (2) IQR-based outlier flags for the selected numeric field (cache_gb or simulation_seconds), indicating which rows fall outside the interquartile range bounds. Results are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, cache_gb, or simulation_seconds) cause validation errors","Numeric values outside the allowed range (±1,000,000,000,000) may be rejected","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","All-null numeric column results in no meaningful IQR computation","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have simulation cache tabular data (up to 200 rows) and need both a categorical frequency breakdown and IQR-based outlier detection in a single $0.01 call. Ideal for pre-pipeline data validation, anomaly detection in render farm or simulation infrastructure logs, or quick statistical profiling of cache and timing metrics without setting up a local analytics environment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:20.644Z","isFirstParty":false,"canonicalSlug":"simulation-caches-category-frequencies-iqr-outlier-flags-66a784db"}