{"uid":"cap_L1b4P7ZNnHLV-2tuYu8Wn","slug":"duplicate-observations-grouped-numeric-summary-two-measure-correlation-746c0b0a","name":"Duplicate Observations – Grouped Numeric Summary + Two-Measure Correlation","description":"Duplicate observations — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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-04-095?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_NWFgWpQjC9_Eyz1w1XGFQ","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 duplicate-observation records by computing a grouped numeric summary and a two-measure correlation between duplicate_rows and total_rows.","exampleAgentPrompt":"I have up to 200 records of duplicate observation data with fields like dataset_group, date, duplicate_rows, and total_rows — can you run a grouped numeric summary and a correlation analysis between duplicate_rows and total_rows on this dataset?","exampleUseCases":[{"title":"Data quality audit by dataset group","prompt":"I've got 150 rows of duplicate observation records across groups 'raw_ingest' and 'processed' with dates in Q3 2025 — can you give me a grouped numeric summary and show how duplicate_rows correlates with total_rows?"},{"title":"Deduplication pipeline health check","prompt":"After running our ETL pipeline I have 80 observation records tagged by dataset_group with duplicate_rows and total_rows counts — run a grouped summary and a correlation report on duplicate_rows for me."},{"title":"Cross-group duplicate rate comparison","prompt":"I want to compare duplicate row trends across 4 dataset groups using 200 daily records from 2024-01-01 to 2024-07-18 — generate a grouped numeric summary and correlation between duplicate_rows and total_rows."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a grouped numeric summary breaking down statistics for the chosen measure (duplicate_rows or total_rows) across dataset_group segments, and (2) a two-measure correlation report quantifying the statistical relationship between duplicate_rows and total_rows. Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — request rejected due to minItems:1 constraint","More than 200 rows submitted — request rejected due to maxItems:200 constraint","Invalid date format (not YYYY-MM-DD) — validation error on date field","Null values in duplicate_rows or total_rows may reduce correlation reliability","Missing required fields (row_id, dataset_group, date) cause schema validation failure","Non-numeric values in numeric fields cause computation errors"],"whenToPreferThis":"Choose this endpoint when you have tabular duplicate-observation data (up to 200 rows) tagged by dataset group and date, and you need both a grouped descriptive summary and a correlation between duplicate_rows and total_rows in a single low-cost call. It is ideal for data quality workflows, ETL monitoring, and deduplication audits where you supply the data directly rather than needing live database lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:33.900Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-grouped-numeric-summary-two-measure-correlation-746c0b0a"}