{"uid":"cap_4YjAmmNJmJGlBHARnjztd","slug":"duplicate-observations-analytics-grouped-numeric-summary-daily-sum-a4073cfa","name":"Duplicate Observations Analytics — Grouped Numeric Summary + Daily Sum Series","description":"Duplicate observations — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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-04-089?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_yPoyeWtCsXvBQTRalFqsT","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":"Computes a grouped numeric summary and a daily sum time series for supplied duplicate-observation records (duplicate_rows, total_rows) across up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of duplicate observation records with columns row_id, dataset_group, date, duplicate_rows, and total_rows — can you run a grouped numeric summary and a daily sum series on the duplicate_rows field for me?","exampleUseCases":[{"title":"Data quality audit by dataset group","prompt":"I've got a list of records tracking duplicates across different dataset groups — each row has a group name, a date, and counts for duplicate_rows and total_rows. Can you give me a grouped numeric summary of the duplicate_rows field so I can see which groups have the most duplicates?"},{"title":"Daily duplicate trend analysis","prompt":"Here are 150 rows of duplicate observation logs with dates going from October 1st to November 30th. Can you compute a daily sum series for total_rows so I can see how the total row counts add up day by day over that period?"},{"title":"Multi-group duplicate spike investigation","prompt":"I'm investigating a data pipeline issue and have records for two groups — 'group-a' and 'group-b' — with daily duplicate_rows counts. Can you run both the grouped numeric summary and the daily sum series on the duplicate_rows field so I can compare patterns across groups?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary breaking down the selected field (duplicate_rows or total_rows) by dataset_group with statistics such as count, mean, min, max, and sum; and (2) a daily sum time series aggregating the selected field by date. Both reports are computed locally without external lookups or predictions.","failureModes":["Input array has fewer than 1 row or more than 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row — validation error","Date strings not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Payment of 0.01 USDC not completed via x402 — request not processed","Invalid field enum value (must be 'duplicate_rows' or 'total_rows') — error returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of duplicate-observation records (with duplicate_rows and total_rows counts, a date, and a group label) and need both a grouped statistical summary and a daily sum time series in a single low-cost call. It is ideal for lightweight, offline data quality analysis without requiring a full analytics platform. Prefer it over general-purpose analytics tools when you want a fast, deterministic, pay-per-call computation on pre-supplied data rather than a live query against a database.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:44:26.578Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-grouped-numeric-summary-daily-sum-a4073cfa"}