{"uid":"cap_kG-DpRVZOzRdt2n0Zr4XD","slug":"duplicate-observations-record-quality-audit-two-measure-correlation-ac590c32","name":"Duplicate Observations Record Quality Audit + Two-Measure Correlation","description":"Duplicate observations — Record quality audit + Two-measure correlation: Record quality audit + 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-04-015?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}}},"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_OfTzME3h_XkrzaZ1WMCVZ","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 to produce a record quality audit and a two-measure correlation report between duplicate_rows and total_rows fields.","exampleAgentPrompt":"Can you run a record quality audit and correlation analysis on my duplicate observation data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 duplicate rows out of 1 total, row-2 for group-b on 2026-10-02 with 20 duplicate rows out of 2 total, row-3 for group-a on 2026-10-03 with 15 duplicate rows out of 3 total, and row-4 for group-b on 2026-10-04 with 30 duplicate rows out of 4 total.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I just ran an ETL pipeline and want to audit data quality — can you analyze these duplicate observation records for quality issues and correlation between duplicate_rows and total_rows? I have 5 rows: row-1 for warehouse-a on 2024-01-10 with 50 duplicates out of 500 total, row-2 for warehouse-b on 2024-01-11 with 80 duplicates out of 600 total, row-3 for warehouse-a on 2024-01-12 with 30 duplicates out of 450 total, row-4 for warehouse-b on 2024-01-13 with 95 duplicates out of 700 total, row-5 for warehouse-a on 2024-01-14 with 20 duplicates out of 400 total."},{"title":"Weekly dataset group duplicate review","prompt":"Run a duplicate observation audit and correlation report on my weekly dataset groups — here are 3 rows: row-1 for sales-region-east on 2024-03-04 with 12 duplicate rows out of 300 total, row-2 for sales-region-west on 2024-03-04 with 22 duplicates out of 450 total, row-3 for sales-region-north on 2024-03-04 with 5 duplicates out of 200 total."},{"title":"Data migration duplicate rate validation","prompt":"After our data migration, I need to validate duplicate record counts across groups — can you produce a quality audit and measure correlation between duplicate rows and total rows for these 6 entries: row-1 for legacy-crm on 2023-11-01 with 100 duplicates of 1000 total, row-2 for new-crm on 2023-11-01 with 5 duplicates of 1000 total, row-3 for legacy-crm on 2023-11-02 with 90 duplicates of 980 total, row-4 for new-crm on 2023-11-02 with 3 duplicates of 980 total, row-5 for legacy-crm on 2023-11-03 with 110 duplicates of 1020 total, row-6 for new-crm on 2023-11-03 with 7 duplicates of 1020 total?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit assessing the quality of the supplied duplicate observation records, and (2) a two-measure correlation analysis between the duplicate_rows and total_rows fields across all submitted rows. Reports are generated locally with no external lookups or live data access.","failureModes":["Exceeding 200 row limit results in rejection","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in numeric fields may affect correlation computation","Payment failure via x402 protocol prevents report generation"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) dual-report analysis — both a record quality audit and a statistical correlation between duplicate row counts and total row counts — on a batch of up to 200 supplied observation records, without needing any external data lookup, live prediction, or professional assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:32.330Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-record-quality-audit-two-measure-correlation-ac590c32"}