{"uid":"cap_HikP6Hc7YL08KiRIbNMt0","slug":"duplicate-observations-analytics-category-frequencies-two-measure-7c5f21b2","name":"Duplicate Observations Analytics: Category Frequencies + Two-Measure Correlation","description":"Duplicate observations — Category frequencies + Two-measure correlation: Category frequencies + 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-04-108?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_AjFtsWtzXJ2VK7RjhGmki","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 duplicate observation records to produce category frequency distributions and a two-measure correlation report for up to 200 rows.","exampleAgentPrompt":"I have some duplicate observation records across dataset groups and I want two reports: one showing the frequency breakdown by category group and another showing the correlation between duplicate_rows and total_rows — here are the rows: [{\"row_id\":\"r1\",\"dataset_group\":\"group-a\",\"date\":\"2024-01-01\",\"duplicate_rows\":50,\"total_rows\":500},{\"row_id\":\"r2\",\"dataset_group\":\"group-b\",\"date\":\"2024-01-02\",\"duplicate_rows\":20,\"total_rows\":200}].","exampleUseCases":[{"title":"Data pipeline duplicate rate audit","prompt":"I have 80 records from our ETL pipeline tracking duplicate_rows and total_rows across two dataset groups over the past month — can you give me a category frequency breakdown by group and show me how duplicate_rows correlates with total_rows?"},{"title":"Multi-team dataset quality comparison","prompt":"We have observations from three team dataset groups and I want to know how frequently each group appears in the duplicate records plus the correlation between duplicate count and total row count — I'll send you up to 150 rows of data."},{"title":"Weekly duplicate observation reporting","prompt":"Run two analytics reports on these 60 duplicate observation rows from our weekly data quality check: first a frequency breakdown by dataset_group category, then a correlation between duplicate_rows and total_rows so I can see if bigger datasets tend to have more duplicates."}],"resultDescription":"Returns two analytical reports based on the supplied rows: (1) a category frequency breakdown showing how often each dataset_group value appears in the records, and (2) a two-measure correlation report quantifying the statistical relationship between the duplicate_rows and total_rows fields across all supplied observations. No external data is fetched; all computation is local.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in both numeric measures may degrade or prevent correlation computation","Payment of 0.01 USDC not satisfied — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected duplicate observation records keyed by dataset group and date, and you need both a categorical frequency breakdown and a two-measure correlation between duplicate_rows and total_rows in a single low-cost call. It is ideal for lightweight data quality analytics workflows where you already hold the data locally and do not need external enrichment, predictions, or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:15:09.953Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-category-frequencies-two-measure-7c5f21b2"}