{"uid":"cap_j-wi5JYaw-cIBmiawKB-n","slug":"duplicate-observations-base-100-series-iqr-outlier-flags-d079d5f4","name":"Duplicate Observations — Base-100 Series + IQR Outlier Flags","description":"Duplicate observations — Base-100 series + IQR outlier flags: Base-100 series + 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-04-164?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_ZqkLl_yrDgJiEn7eAWVjn","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 a Base-100 indexed time series and IQR-based outlier flags for duplicate_rows and total_rows metrics across up to 200 supplied data records.","exampleAgentPrompt":"Can you run the base-100 indexing and IQR outlier detection on my duplicate observation data? I have 4 records across groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, analyzing the duplicate_rows field starting from base index 0.","exampleUseCases":[{"title":"Data pipeline duplicate rate monitoring","prompt":"I have a week's worth of daily duplicate row counts across two dataset groups — can you normalize them to a base-100 series starting from day 1 and flag any days where the duplicate_rows value is an IQR outlier?"},{"title":"Comparing total rows across dataset groups","prompt":"Run me a base-100 analysis on my total_rows field for these 10 records across three dataset groups, with base index at position 0, and tell me which records are statistical outliers."},{"title":"Data quality audit for ingestion pipeline","prompt":"I need to audit our ingestion pipeline for duplicate issues — here are 50 daily records with duplicate_rows and total_rows counts. Can you index the duplicate_rows values to base 100 and highlight any IQR outliers so I know which days had abnormal duplication?"}],"resultDescription":"Returns two independent analytical reports: (1) a Base-100 normalized time series for the selected field (duplicate_rows or total_rows) anchored to the specified base_index record, and (2) IQR-based outlier flags identifying which records fall outside the interquartile range — both computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minItems validation failure","More than 200 rows supplied — maxItems exceeded","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern mismatch","base_index out of range (must be 0–199 and within row count) — validation error","All values null or identical — IQR computation may produce degenerate results","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected duplicate observation records (up to 200 rows) with date, group, duplicate_rows, and total_rows fields and need both a normalized trend view (Base-100) and statistical outlier detection (IQR) in a single low-cost call. It is ideal for data quality monitoring workflows, ingestion pipeline audits, and time series comparison across dataset groups where no external data, live lookups, or predictions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:14.562Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-base-100-series-iqr-outlier-flags-d079d5f4"}