{"uid":"cap_2Gvh9ZjxxD5I6IiaoBRMG","slug":"duplicate-observations-analytics-numeric-distribution-date-by-95e15034","name":"Duplicate Observations Analytics: Numeric Distribution + Date-by-Category Pivot","description":"Duplicate observations — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-04-083?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_RVSBtQjhNmnK_Px8S_4jA","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":"Generates two local analytical reports—numeric distribution stats and a date-by-category pivot—for up to 200 duplicate-observation records (duplicate_rows, total_rows).","exampleAgentPrompt":"Analyze my duplicate observation records for up to 200 rows—I want both a numeric distribution and a date-by-category pivot for the duplicate_rows field. My rows include fields like row_id, dataset_group (e.g. 'group-a', 'group-b'), date (YYYY-MM-DD), duplicate_rows, and total_rows.","exampleUseCases":[{"title":"Data quality audit across pipeline groups","prompt":"I have a list of dataset groups with their duplicate_rows and total_rows counts recorded daily. Can you run both a numeric distribution and a date-by-category pivot on the duplicate_rows field so I can see how duplication is spread across groups over time?"},{"title":"ETL batch duplicate spike investigation","prompt":"Our ETL pipeline logged duplicate row counts per batch group for the past month. Give me a numeric distribution of duplicate_rows plus a pivot breaking it down by date and dataset_group so I can spot any spikes."},{"title":"Data governance report on total rows vs duplicates","prompt":"I need a statistical summary for our governance report — run a numeric distribution and date-category pivot on total_rows across these 150 records, grouped by dataset_group and date."}],"resultDescription":"Returns two analytical reports computed locally on the supplied data: (1) a numeric distribution report for the selected field (duplicate_rows or total_rows), including stats such as min, max, mean, median, and frequency bins; and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group. No external lookups are performed.","failureModes":["Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems:1 violated) causes request failure","Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') is rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected duplicate-observation records with group and date labels and need both a numeric distribution summary and a date-by-category pivot in a single low-cost call ($0.01 USDC). Prefer it over general analytics APIs when your data already conforms to the duplicate_rows/total_rows schema and you want fast, local computation without external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:38.054Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-numeric-distribution-date-by-95e15034"}