{"uid":"cap_WfiDjR7cSP_LtvM3RopnA","slug":"duplicate-observations-analytics-numeric-row-ordering-adjacent-row-b20946f0","name":"Duplicate Observations Analytics: Numeric Row Ordering + Adjacent Row Changes","description":"Duplicate observations — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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-04-116?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_JEhpA8ofx57WK8gz394tN","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 duplicate observation data (duplicate_rows, total_rows) by computing numeric row ordering and detecting adjacent row changes across up to 200 records, delivering two independent analytical reports.","exampleAgentPrompt":"I have 4 daily duplicate-observation records for groups A and B from Oct 1–4 2026 — can you run the numeric row ordering and adjacent row changes reports on the duplicate_rows field? The data is: row-1/group-a/2026-10-01/duplicate_rows=10/total_rows=1, row-2/group-b/2026-10-02/duplicate_rows=20/total_rows=2, row-3/group-a/2026-10-03/duplicate_rows=15/total_rows=3, row-4/group-b/2026-10-04/duplicate_rows=30/total_rows=4.","exampleUseCases":[{"title":"Spotting duplicate spikes in ETL pipeline","prompt":"Here are 50 daily ETL run records with duplicate_rows and total_rows counts — can you rank them numerically by duplicate_rows and show me where the biggest jumps happen between consecutive days?"},{"title":"Auditing dataset group deduplication trends","prompt":"I've got records for dataset groups 'sales' and 'returns' across 30 dates. Run the numeric row ordering and adjacent row changes analysis on total_rows so I can see which group has the most volatile duplicate behavior."},{"title":"Weekly duplicate count change detection","prompt":"Can you analyze these 12 weekly duplicate observation records and give me both the numeric ordering by duplicate_rows and the adjacent row changes report so I can identify which weeks had unusual spikes?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering of the submitted records ranked by the selected field (duplicate_rows or total_rows), and (2) an adjacent row changes report showing how the selected field value shifts between consecutive rows — all computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — minItems violation returns validation error","More than 200 rows submitted — maxItems violation returns validation error","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in numeric fields may affect ordering and change calculations","Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') causes rejection","Extremely large numeric values near boundary (±1,000,000,000,000) may cause precision issues"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical perspectives on duplicate observation data — numeric ordering and adjacent change detection — in a single $0.01 call. It is ideal for data quality audits, ETL pipeline monitoring, or deduplication tracking where you want rank-ordered views alongside row-to-row change signals, without needing external data sources, predictions, or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:46.367Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-numeric-row-ordering-adjacent-row-b20946f0"}