{"uid":"cap_FjBk4_XuxZAZ5nSNpQZF_","slug":"duplicate-observations-category-frequencies-date-by-category-pivot-08a397b9","name":"Duplicate Observations — Category Frequencies + Date by Category Pivot","description":"Duplicate observations — Category frequencies + Date by category pivot: Category frequencies + 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-04-110?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_TeML-i0nzMdfMcW5mQzGf","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 records: a category-frequency breakdown and a date-by-category pivot table.","exampleAgentPrompt":"I have up to 200 rows of duplicate-observation records with fields like dataset_group, date, duplicate_rows, and total_rows — can you run both a category-frequency report and a date-by-category pivot on them, analyzing the duplicate_rows field?","exampleUseCases":[{"title":"Data quality audit by team","prompt":"I've got a set of records showing duplicate rows across several dataset groups — can you give me a frequency breakdown of how many duplicates each group has, plus a pivot of those duplicate counts by date and group, all based on the duplicate_rows field?"},{"title":"Monthly duplicate trend review","prompt":"Here are 150 rows of duplicate observation data tagged with dataset_group and date — run both the category frequency and the date-by-category pivot so I can see how duplication trends shifted across groups over the months, using the total_rows field."},{"title":"Pipeline data integrity check","prompt":"Before I hand off this dataset to the downstream team, can you analyze these duplicate observation records across groups A, B, and C — give me the category frequencies and a date pivot for the duplicate_rows field so I can flag any spikes?"}],"resultDescription":"Returns two independent analytical reports: (1) a category-frequencies table showing how often each dataset_group appears relative to the selected numeric field, and (2) a date-by-category pivot table cross-tabulating dates against dataset groups for the chosen field (duplicate_rows or total_rows). All computation is performed 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) causes validation error","More than 200 rows submitted exceeds maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null numeric values may affect aggregation results","Invalid field enum value (not 'duplicate_rows' or 'total_rows') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of duplicate-observation records and need both a categorical frequency summary and a date-by-category pivot in a single low-cost call. Ideal for data-quality workflows where you want to understand duplication patterns across dataset groups without any external lookups or predictions. The fixed $0.01 cost covers both reports simultaneously, making it efficient compared to separate analytical calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:19.098Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-category-frequencies-date-by-category-pivot-08a397b9"}