{"uid":"cap_fDhzgG7gPQhTvR_sfdok7","slug":"duplicate-observations-analytics-record-quality-audit-exact-row-2a2df131","name":"Duplicate Observations Analytics — Record Quality Audit, Exact Row Deduplication & IQR Outlier Flags","description":"Duplicate observations — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied duplicate observations records (duplicate_rows, total_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-04-220?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_zX0wh8_cafRYEkf4bR5Kt","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 records and returns three reports: a record quality audit, exact row deduplication summary, and IQR-based outlier flags for duplicate_rows or total_rows fields.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and IQR outlier analysis on my duplicate observation data — I have rows with fields like row_id, dataset_group, date, duplicate_rows, and total_rows, and I want to flag outliers in the duplicate_rows field across up to 200 records?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I just finished an ETL run and have a table of up to 150 records tracking duplicate_rows and total_rows per dataset_group by date — can you audit them for record quality issues, find any exactly duplicated rows, and flag IQR outliers in the duplicate_rows field?"},{"title":"Weekly dataset deduplication report","prompt":"Every Monday I collect duplication metrics across our data groups. Here are this week's 80 rows with row_id, dataset_group, date, duplicate_rows, and total_rows — please run the quality audit, deduplication, and IQR outlier check on total_rows for me."},{"title":"Anomaly detection in duplicate counts","prompt":"We've been seeing weird spikes in our duplicate row counts. I have about 60 records from different dataset groups over the past month — can you run all three reports (quality audit, exact row dedup, and IQR outlier flags) on duplicate_rows so I can spot the anomalies?"}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit summarizing data completeness and field-level issues, (2) an exact row deduplication report identifying identical records, and (3) IQR-based outlier flags for the selected numeric field (duplicate_rows or total_rows), all computed locally without external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation failure","Invalid date format (not YYYY-MM-DD) may cause parsing errors","Null values in the selected numeric field may affect IQR computation","Payment of 0.01 USDC not included or rejected blocks the request"],"whenToPreferThis":"Choose this endpoint when you have tabular duplicate-observation data (up to 200 rows) and need three complementary quality analyses in a single call — record auditing, exact deduplication, and IQR outlier detection — without requiring any external data sources, predictions, or live lookups. It is ideal for lightweight, self-contained data quality workflows where the analysis runs on your supplied data alone.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:07:23.222Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-record-quality-audit-exact-row-2a2df131"}