{"uid":"cap_T4R0CW9p7PKc4u5KFhXim","slug":"duplicate-observations-category-frequencies-numeric-interval-filter-176e1800","name":"Duplicate Observations — Category Frequencies + Numeric Interval Filter","description":"Duplicate observations — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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-04-101?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_TAVRQgxq9JqzD7eiU44YZ","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, producing two local analytics reports: category frequency counts by dataset_group and a numeric interval filter on a chosen field (duplicate_rows or total_rows) within a specified min–max range.","exampleAgentPrompt":"I have 4 duplicate-observation records across groups 'group-a' and 'group-b' from October 2026 — can you analyze the category frequencies by dataset_group and also filter on the duplicate_rows field to show only rows where the value is between 10 and 25?","exampleUseCases":[{"title":"Data quality audit by group","prompt":"I've got a list of 50 dataset records with duplicate_rows and total_rows counts across groups like 'finance', 'hr', and 'ops' — can you give me a frequency breakdown of how many records fall in each group, and also filter to show only rows where duplicate_rows is between 5 and 50?"},{"title":"Threshold filtering on total rows","prompt":"Here are 120 duplicate observation records from our ETL pipeline — I want to see category frequencies by dataset_group, and also filter the total_rows field to only include records between 1000 and 500000 so I can ignore the tiny and huge outliers."},{"title":"Spotting high-duplication segments","prompt":"I have duplicate observation logs for 80 rows across several dataset groups. Can you count how frequently each group appears and then filter on duplicate_rows between 100 and 999 so I can focus on the segments with significant duplication?"}],"resultDescription":"Returns two local analytics reports: (1) frequency counts of each unique dataset_group category across the submitted rows, and (2) a filtered subset of rows where the selected numeric field (duplicate_rows or total_rows) falls within the specified minimum–maximum interval. No external lookups or predictions are made — all computation is performed on the supplied data.","failureModes":["Fewer than 1 row submitted — request rejected (minItems: 1)","More than 200 rows submitted — request rejected (maxItems: 200)","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error","Numeric values outside ±1,000,000,000,000 — schema rejection","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 duplicate-observation records and need both a categorical frequency breakdown by dataset_group AND a numeric range filter on either duplicate_rows or total_rows in a single $0.01 call. Prefer it over single-report endpoints when you want both analyses together without making two separate API calls. It is a pure local computation service — use it when you do not need external lookups, predictions, or live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:12.206Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-category-frequencies-numeric-interval-filter-176e1800"}