{"uid":"cap_i6PTeFbuYqWI9YKQuk4gz","slug":"duplicate-observations-grouped-numeric-summary-adjacent-row-changes-4b4aadb4","name":"Duplicate Observations — Grouped Numeric Summary + Adjacent Row Changes","description":"Duplicate observations — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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-04-091?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_M8EowIAiv5lyDVcyoH-4I","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":"Analyzes supplied duplicate-observation records to produce two local analytical reports: a grouped numeric summary and an adjacent row changes report, for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 200 duplicate-observation records with fields row_id, dataset_group, date, duplicate_rows, and total_rows — can you run both a grouped numeric summary and an adjacent row changes analysis on the duplicate_rows field for me?","exampleUseCases":[{"title":"Data quality audit by category","prompt":"I have 150 records with dataset groups like 'group-a' and 'group-b', each with a date, duplicate_rows, and total_rows — can you give me a grouped numeric summary and show how duplicate_rows changes between adjacent rows so I can spot where quality is degrading?"},{"title":"Time-series duplicate spike detection","prompt":"Here are my daily duplicate observation records across two dataset groups from October 2026 — run the adjacent row changes report on duplicate_rows so I can see exactly which dates had the biggest jumps or drops in duplicates."},{"title":"Comparing duplicate rates across dataset groups","prompt":"I want to compare how duplicate_rows is distributed across my dataset groups — can you produce a grouped numeric summary of the total_rows field across all groups from my supplied 80-row dataset?"}],"resultDescription":"Returns two independent analytical reports computed locally on the supplied rows: (1) a grouped numeric summary — aggregated statistics (e.g. count, mean, min, max) for the chosen field (duplicate_rows or total_rows) broken down by dataset_group; and (2) an adjacent row changes report — row-over-row delta values for the chosen field, showing how the metric changes between consecutive records. No external lookups or predictions are made.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null or out-of-range numeric values may produce incomplete aggregates","Unrecognized field enum value other than 'duplicate_rows' or 'total_rows' — error","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have pre-collected duplicate observation records (up to 200 rows) and need both a grouped aggregate summary and a row-over-row change analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data quality audits where no live data retrieval, external prediction, or professional assessment is needed — just local statistical computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:38.069Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-grouped-numeric-summary-adjacent-row-changes-4b4aadb4"}