{"uid":"cap_Q4FEBa3MNo3rospYufPSF","slug":"duplicate-observations-analytics-numeric-interval-filter-date-by-0f09848b","name":"Duplicate Observations Analytics: Numeric Interval Filter + Date-by-Category Pivot","description":"Duplicate observations — Numeric interval filter + Date by category pivot: Numeric interval filter + 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-04-133?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_sEnBxnefOCk4Mk0C8i2K2","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":"Runs two local analytical reports on supplied duplicate-observation data: a numeric interval filter on duplicate_rows or total_rows, and a date-by-category pivot table.","exampleAgentPrompt":"I have up to 200 rows of duplicate-observation records with fields row_id, dataset_group, date, duplicate_rows, and total_rows — can you run two reports: filter by duplicate_rows between 5 and 50, and also pivot the duplicate_rows counts by date and category group?","exampleUseCases":[{"title":"Data quality audit by group and date","prompt":"I've got 150 records tracking duplicate rows per dataset group across several dates. Can you filter down to records where duplicate_rows is between 10 and 100, and also give me a pivot of duplicate_rows broken out by date and dataset_group?"},{"title":"Identify high-duplication intervals in total rows","prompt":"Run two reports on my dataset quality records: first, filter on total_rows between 500 and 5000, and second, give me a date-by-category pivot of total_rows so I can see which groups spike on which dates."},{"title":"Spot-check low-duplicate records across groups","prompt":"I have a batch of 80 duplicate-observation records — can you filter to just the rows where duplicate_rows falls between 0 and 5, and also pivot the duplicate_rows counts by date and dataset_group so I can see the breakdown?"}],"resultDescription":"Returns two analytical reports: (1) a filtered subset of the supplied rows where the chosen numeric field (duplicate_rows or total_rows) falls within the specified minimum–maximum interval, and (2) a pivot table cross-tabulating the chosen numeric field by date and dataset_group category. Both reports are computed locally on up to 200 supplied rows with no external lookups.","failureModes":["Missing required row fields (row_id, date, dataset_group, duplicate_rows, total_rows) causes validation errors","More than 200 rows submitted exceeds the maxItems limit","Date values not matching YYYY-MM-DD pattern are rejected","Minimum greater than maximum produces an empty interval filter result","Null numeric values in duplicate_rows or total_rows may affect filter accuracy"],"whenToPreferThis":"Use this endpoint when you have up to 200 pre-collected duplicate-observation records and need both a numeric range filter and a date-by-category pivot in a single $0.01 call. It is ideal for data quality workflows where you want to slice duplicates by threshold and simultaneously see cross-tabulated trends by group and date — without any external data lookup or live inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:17:56.523Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-numeric-interval-filter-date-by-0f09848b"}