{"uid":"cap_BppstGK60gDrMjCVXQy-I","slug":"join-coverage-duplicate-key-report-and-iqr-outlier-flags-3f4e5440","name":"Join Coverage Duplicate Key Report and IQR Outlier Flags","description":"Join coverage — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied join coverage records (matched_rows, source_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-09-065?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["matched_rows","source_rows"],"type":"string","default":"matched_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_2dkib9xexa4bMHyeeUrhV","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 join coverage records (matched_rows, source_rows) for duplicate keys and IQR-based outlier flags across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you run a duplicate key check and IQR outlier analysis on my join coverage data — I have about 50 rows each with a row_id, dataset_group, date, matched_rows, and source_rows — and flag anomalies in the matched_rows field?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I just ran a join between two datasets and need to check if any row IDs appear more than once and whether any matched_rows values look like outliers — can you run the duplicate key report and IQR outlier flags on these 120 join coverage records, analyzing the matched_rows field?"},{"title":"Data engineer source row anomaly detection","prompt":"I want to audit my source_rows counts across these join coverage records for the past month — can you flag any IQR outliers in the source_rows field and also tell me if there are any duplicate keys in my dataset?"},{"title":"Group-level join coverage validation","prompt":"I have join coverage records split across two dataset groups, group-a and group-b, and I want to know if there are any duplicated row IDs or statistically unusual matched_rows values before I merge them — can you run the duplicate and outlier reports on all 85 rows?"}],"resultDescription":"Returns two independent reports: (1) a duplicate key report identifying any row_ids that appear more than once in the supplied data, and (2) IQR outlier flags marking rows whose selected field value (matched_rows or source_rows) falls outside the interquartile range bounds, all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in the selected metric field may affect IQR computation","Fewer than 4 rows may make IQR calculation statistically meaningless","Payment of 0.01 USDC not included causes 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous data quality checks — duplicate key detection and IQR-based outlier flagging — on join coverage metrics (matched_rows, source_rows) in a single low-cost call. Ideal for data engineers validating ETL joins before downstream processing, when you have up to 200 rows and want local statistical analysis without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:34.202Z","isFirstParty":false,"canonicalSlug":"join-coverage-duplicate-key-report-and-iqr-outlier-flags-3f4e5440"}