{"uid":"cap_JnHkXmWh7w00tnIAZ0Qv-","slug":"duplicate-observations-analytics-daily-sum-series-date-by-category-20dcb46b","name":"Duplicate Observations Analytics — Daily Sum Series + Date-by-Category Pivot","description":"Duplicate observations — Daily sum series + Date by category pivot: Daily sum series + 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-04-143?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_NgA0yLfMr9y5AumahvJVv","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 (daily sum time series and date-by-category pivot table) for supplied duplicate-observation records up to 200 rows.","exampleAgentPrompt":"I have 150 rows of duplicate-observation records with date, dataset_group, duplicate_rows, and total_rows fields — can you run the daily sum series and date-by-category pivot reports on them, focusing on the duplicate_rows metric?","exampleUseCases":[{"title":"Daily duplicate trend for data pipeline audit","prompt":"I'm auditing our ETL pipeline and have a list of up to 200 records showing duplicate_rows and total_rows per dataset group per day from 2026-10-01 to 2026-10-31 — can you generate both the daily sum time series and the date-by-category pivot so I can see where duplicates spike?"},{"title":"Cross-group duplicate comparison pivot","prompt":"I've got observations from three dataset groups — group-a, group-b, and group-c — with dates and duplicate row counts. Can you pivot them by date and category and also give me the daily totals for total_rows so I can compare duplication rates across groups?"},{"title":"Data quality report for weekly QA review","prompt":"For our weekly data quality meeting I need a daily sum series and a date-by-category pivot for these 80 duplicate-observation records covering the past two weeks, focusing on the duplicate_rows field — can you run both reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the selected metric (duplicate_rows or total_rows) across all records grouped by date, and (2) a date-by-category pivot table cross-tabulating the metric by date and dataset_group. Both reports are computed locally from the supplied data, up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected or truncated","Missing required fields (row_id, date, dataset_group) cause row-level errors or exclusion","Invalid date format (not YYYY-MM-DD) causes parsing failures","Numeric values out of range (beyond ±1,000,000,000,000) may be rejected","Empty rows array returns no reportable data","Invalid field enum value (not 'duplicate_rows' or 'total_rows') causes field selection error"],"whenToPreferThis":"Choose this endpoint when you have tabular duplicate-observation records with a date, a categorical grouping field, and numeric duplicate/total-row counts, and need both a time-series daily rollup and a cross-tabulated pivot in a single call for up to 200 rows. Prefer it over general-purpose analytics when cost predictability ($0.01 USDC for two reports) and local computation without external lookups are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:39.443Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-daily-sum-series-date-by-category-20dcb46b"}