{"uid":"cap_BFAsWOHBPAylERqqmyxEq","slug":"duplicate-observations-iqr-outlier-flags-two-measure-correlation-b2d92781","name":"Duplicate Observations IQR Outlier Flags + Two-Measure Correlation","description":"Duplicate observations — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied duplicate observations records (duplicate_rows, total_rows). 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-04-176?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"}}},"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_da5nrTWorwsBevUW0upZ6","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 supplied duplicate-observation records (duplicate_rows, total_rows) to produce IQR-based outlier flags and a two-measure correlation report for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a two-measure correlation between duplicate_rows and total_rows on this dataset audit log — I have 8 records across group-a and group-b dated from 2026-10-01 to 2026-10-08?","exampleUseCases":[{"title":"Data quality audit outlier detection","prompt":"I have a weekly audit log of duplicate row counts across our data pipelines — can you flag any IQR outliers in the duplicate_rows field and show me the correlation between duplicate_rows and total_rows for these 50 records?"},{"title":"Deduplication monitoring across dataset groups","prompt":"We track duplicate_rows and total_rows per dataset group daily — run IQR outlier flagging and a two-measure correlation on these 120 records so I can see which groups are behaving abnormally."},{"title":"Statistical validation of ingestion metrics","prompt":"Here are 30 rows of ingestion metrics with duplicate_rows and total_rows by date and group — can you compute IQR outlier flags on total_rows and give me the correlation report between the two measures?"}],"resultDescription":"Returns two analytical reports: (1) IQR outlier flags indicating which rows have statistically anomalous values for the selected measure (duplicate_rows or total_rows), and (2) a two-measure correlation analysis between duplicate_rows and total_rows across the supplied records. Results are computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds max row limit","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Null values in numeric fields may reduce statistical reliability","Payment of 0.01 USDC not completed — request rejected"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and a two-measure correlation in a single paid call on duplicate observation data (up to 200 rows). It is ideal for data quality workflows where you want to audit duplicate_rows and total_rows together without building local statistical infrastructure. Prefer it over single-report endpoints when you need both analyses at once for cost efficiency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:18.272Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-iqr-outlier-flags-two-measure-correlation-b2d92781"}