{"uid":"cap_kz4bq1Lwf77jYeTPa9wKa","slug":"duplicate-observations-analytics-duplicate-key-report-date-by-370dd800","name":"Duplicate Observations Analytics: Duplicate Key Report + Date by Category Pivot","description":"Duplicate observations — Duplicate key report + Date by category pivot: Duplicate key report + 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-04-068?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_Wo2_9a9p3B2YJoRs_vpzl","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 analytical reports — a duplicate key report and a date-by-category pivot — from supplied duplicate observation records (duplicate_rows, total_rows) for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of duplicate observation records — each with a row_id, dataset_group, date, duplicate_rows, and total_rows — can you run a duplicate key report and a date-by-category pivot on them, analyzing the duplicate_rows field?","exampleUseCases":[{"title":"Data quality audit by group","prompt":"I've got a set of records showing duplicate and total row counts across different dataset groups like 'group-a' and 'group-b' with daily dates. Can you generate a duplicate key report and a pivot by date and category so I can see where the duplicates are worst?"},{"title":"ETL pipeline duplicate monitoring","prompt":"After our nightly ETL run I have up to 150 rows with duplicate_rows and total_rows counts per dataset group and date — can you run the duplicate key report and the date-by-category pivot on the total_rows field so I can monitor data integrity?"},{"title":"Historical duplicate trend analysis","prompt":"I want to understand how duplicate observations have trended over the past few months across our dataset groups. I'll supply the records with dates and duplicate_rows counts — please give me a duplicate key report and a date-by-category pivot."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying records with duplicate keys and their counts, and (2) a date-by-category pivot table summarizing the selected field (duplicate_rows or total_rows) across dataset_group categories and dates. Both reports are derived solely from the supplied input rows — no external data is fetched.","failureModes":["Input array is empty or missing (minItems:1 violated)","Input array exceeds 200 rows (maxItems:200 violated)","date field does not match YYYY-MM-DD pattern","row_id is missing or empty string","numeric fields (duplicate_rows, total_rows) out of allowed range","field enum value is invalid (must be 'duplicate_rows' or 'total_rows')","Payment of 0.01 USDC not completed via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 duplicate-observation records (with duplicate_rows and total_rows counts) and need two complementary offline analytical views — a duplicate key report and a date-by-category pivot — computed locally without any live data lookups. Ideal for data quality audits, ETL monitoring, or profiling dataset integrity on a fixed snapshot.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:21.965Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-duplicate-key-report-date-by-370dd800"}