{"uid":"cap_Ev887TZ2b1GlVpDv-I1a8","slug":"duplicate-observations-grouped-numeric-summary-iqr-outlier-flags-1558a527","name":"Duplicate Observations — Grouped Numeric Summary + IQR Outlier Flags","description":"Duplicate observations — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags 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-04-094?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_-lPjtEjboulT-Oc3N0Y39","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 grouped numeric summary statistics and IQR-based outlier flags for up to 200 duplicate-observation records, analyzing either duplicate_rows or total_rows fields across dataset groups.","exampleAgentPrompt":"Can you analyze this batch of duplicate-observation records across my dataset groups and give me a grouped numeric summary plus IQR outlier flags for the duplicate_rows field? I have about 50 rows covering groups like 'group-a' and 'group-b' with dates and row counts.","exampleUseCases":[{"title":"Data quality audit per dataset group","prompt":"I have 80 records of duplicate-row observations across several dataset groups from last quarter — can you group them and give me a numeric summary plus flag any groups with IQR outliers in the duplicate_rows field so I know which datasets are the worst offenders?"},{"title":"Monitoring total row count anomalies","prompt":"Here are 120 daily observations with total_rows counts across my ingestion groups — please run a grouped numeric summary and IQR outlier detection on the total_rows field so I can see which groups are behaving abnormally."},{"title":"Pre-pipeline duplicate density report","prompt":"Before I kick off my ETL, I want to understand the duplicate landscape — I've got 60 records with duplicate_rows and total_rows per dataset group and date, can you give me grouped stats and highlight any IQR outliers in duplicate_rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary breaking down statistics (mean, median, min, max, quartiles, etc.) for the chosen field (duplicate_rows or total_rows) segmented by dataset_group, and (2) IQR-based outlier flags identifying which rows or groups fall outside the interquartile range. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in the selected numeric field may reduce statistical accuracy","Insufficient data points per group may produce unreliable IQR estimates"],"whenToPreferThis":"Choose this endpoint when you need both grouped descriptive statistics and IQR outlier detection on duplicate-observation data in a single call, with up to 200 rows and two reports included in one fixed $0.01 USDC payment. Ideal for data quality pipelines and observability workflows where you want to characterize duplicate density across named dataset groups without building your own stats logic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:35.522Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-grouped-numeric-summary-iqr-outlier-flags-1558a527"}