{"uid":"cap_soC4dKZqtl27RyGfIN7Z5","slug":"duplicate-observations-analytics-numeric-distribution-category-8c61e993","name":"Duplicate Observations Analytics — Numeric Distribution & Category Frequencies","description":"Duplicate observations — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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-04-072?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_7k8qSOozqxaF-owJjCwQH","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":"Computes numeric distribution statistics and category frequency counts for supplied duplicate observation records (duplicate_rows, total_rows) across up to 200 rows using local analytical engines.","exampleAgentPrompt":"Can you analyze the distribution of duplicate_rows across these 150 records from my dataset groups — I want both a numeric distribution and category frequency breakdown showing how duplicates are spread by group?","exampleUseCases":[{"title":"Data quality audit by dataset group","prompt":"I have records from 4 dataset groups showing duplicate_rows and total_rows counts — can you give me a numeric distribution and category frequency report on duplicate_rows so I can see which groups have the most duplication issues?"},{"title":"ETL pipeline duplicate monitoring","prompt":"After each daily ETL run I collect rows with date, dataset_group, duplicate_rows, and total_rows — can you run the numeric distribution and category frequencies analysis on total_rows for today's 80 records so I can spot anomalies?"},{"title":"Comparing duplicate rates across time periods","prompt":"I've got 200 observations with dates from last quarter, each tracking duplicate_rows and total_rows by dataset group — run both the numeric distribution and category frequency reports on duplicate_rows so I can see how duplication changed over time."}],"resultDescription":"Returns two independent analytical reports for the selected field (duplicate_rows or total_rows): (1) a numeric distribution summary with descriptive statistics such as min, max, mean, median, and percentiles; (2) category frequency counts broken down by dataset_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Empty rows array or missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) returns validation error","More than 200 rows submitted exceeds maxItems limit and will be rejected","Dates not matching YYYY-MM-DD pattern fail schema validation","Null numeric values for both duplicate_rows and total_rows may produce incomplete distribution results","Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') returns error"],"whenToPreferThis":"Choose this endpoint when you need both numeric distribution statistics AND category frequency analysis on duplicate observation data in a single call at low cost ($0.01 USDC for both reports). Ideal for data quality workflows where you have up to 200 pre-collected records with duplicate counts grouped by dataset and date, and need fast local analytical results without any external API dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:39.443Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-numeric-distribution-category-8c61e993"}