{"uid":"cap_aA4XVvvkaY48StAQcQaia","slug":"duplicate-observations-analytics-duplicate-key-report-missing-value-9954f5bd","name":"Duplicate Observations Analytics: Duplicate Key Report + Missing-Value Fill","description":"Duplicate observations — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill 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-04-070?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_LdPbBmOuCAOJDR-jPDDvN","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 rows of duplicate-observation data to produce a duplicate key report and fill explicit missing values using zero, mean, or median imputation.","exampleAgentPrompt":"Can you run a duplicate key report and fill missing values using median imputation on my dataset? Here are my rows with row_id, dataset_group, date, duplicate_rows, and total_rows — I want the analysis run on the duplicate_rows field, up to 200 rows across groups like group-a and group-b from October 2026.","exampleUseCases":[{"title":"Data quality audit for ETL pipeline","prompt":"I have up to 200 rows from my ETL pipeline with columns row_id, dataset_group, date, duplicate_rows, and total_rows — can you generate a duplicate key report and fill any missing duplicate_rows values using median imputation so I can see where my data has quality issues?"},{"title":"Missing total_rows backfill with mean","prompt":"My dataset has some null total_rows entries across groups group-a and group-b for dates in October 2026 — can you run the missing-value fill report using mean imputation on the total_rows field across all my observation rows?"},{"title":"Zero-fill duplicate counts before reporting","prompt":"Before I send this dataset to my stakeholders, can you produce a duplicate key report and replace any missing duplicate_rows values with zero for all 150 rows I'm supplying, grouped by dataset_group and date?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying which row_id and dataset_group combinations have duplicate observations and their counts, and (2) an explicit missing-value fill report showing which records had null values in the selected field (duplicate_rows or total_rows) and what values were substituted using the chosen method (zero, mean, or median). Results are computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause schema validation failure","Dates not matching YYYY-MM-DD pattern are rejected","numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 tabular observations with duplicate_rows and total_rows fields and need both a structured duplicate key report and missing-value imputation in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics tools when you specifically need offline, locally computed duplicate detection combined with zero/mean/median fill — no external data access, no predictions, no professional assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:15:25.821Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-duplicate-key-report-missing-value-9954f5bd"}