{"uid":"cap_RJlnT36Ou8adQWHSlMswE","slug":"dataset-storage-iqr-outlier-flags-two-measure-correlation-3a21d837","name":"Dataset Storage IQR Outlier Flags + Two-Measure Correlation","description":"Dataset storage — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied dataset storage records (used_mb, row_count). 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-analytics-18-176?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"}}},"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_BK9hXtDO30iUJj8QoC8Kt","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":"Analyzes up to 200 dataset storage records (used_mb, row_count) to produce IQR-based outlier flags and a two-measure correlation report using local statistical engines.","exampleAgentPrompt":"Can you run IQR outlier detection on my dataset storage records and also check whether used_mb and row_count are correlated? I have about 50 rows with fields like row_id, dataset_group, date, used_mb, and row_count.","exampleUseCases":[{"title":"Flag anomalous storage usage by group","prompt":"I have 120 storage records across several dataset groups with dates, used_mb, and row_count values — can you flag any IQR outliers in used_mb and tell me if used_mb and row_count are correlated?"},{"title":"Validate data pipeline storage consistency","prompt":"After our nightly ETL run I have a table of 80 dataset records with used_mb and row_count per group and date — please run IQR outlier flagging on row_count and give me a correlation report between the two measures."},{"title":"Audit dataset growth for capacity planning","prompt":"Here are 200 rows of storage audit data with row_id, group, date, used_mb, and row_count — can you detect any IQR outliers and check how strongly used_mb correlates with row_count across all records?"}],"resultDescription":"Returns two reports: (1) IQR outlier flags for each row identifying which records fall outside the interquartile range for the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between used_mb and row_count across the submitted dataset storage records.","failureModes":["More than 200 rows submitted — request exceeds max row limit","Missing required fields (row_id, dataset_group, date, used_mb, or row_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","All values null for a measure — insufficient data for IQR or correlation computation","Numeric values outside allowed range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have dataset storage records (with used_mb and row_count) and need both IQR-based outlier detection and a pairwise correlation report in a single low-cost call. Ideal for offline/batch statistical analysis of up to 200 rows without needing live data lookup, predictions, or external integrations. At $0.01 USDC you get two independent analytical reports from supplied data only.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:00.279Z","isFirstParty":false,"canonicalSlug":"dataset-storage-iqr-outlier-flags-two-measure-correlation-3a21d837"}