{"uid":"cap_WCQ8j4ivJzDbjilaNLPyl","slug":"duplicate-observations-exact-row-deduplication-numeric-row-ordering-c95e69dc","name":"Duplicate Observations — Exact Row Deduplication + Numeric Row Ordering","description":"Duplicate observations — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-04-042?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_W3eIScz8HpGyAixuUy7ny","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":"Performs exact row deduplication and numeric row ordering analysis on supplied duplicate_rows and total_rows data, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a set of duplicate observation records across groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 — can you run exact row deduplication and numeric row ordering on them using the duplicate_rows field, and give me both reports?","exampleUseCases":[{"title":"Data pipeline deduplication audit","prompt":"I've got 150 rows of duplicate observation records from my ETL pipeline across several dataset groups, dated across last quarter — run exact row deduplication and numeric ordering on the duplicate_rows field and give me both reports so I can see which groups have the worst duplication."},{"title":"Ranking datasets by total row volume","prompt":"I have a list of dataset groups with their total_rows counts for each day in October 2026 — can you apply numeric row ordering on the total_rows field across all 80 rows and give me the deduplication report alongside it?"},{"title":"Data quality check before merge","prompt":"Before I merge these two datasets, I want to check for exact duplicate rows and also see them ordered numerically by duplicate_rows count — I have about 60 records covering groups 'sales' and 'marketing' from 2026-09-01 to 2026-09-30."}],"resultDescription":"Two independent analytical reports: (1) an exact row deduplication report identifying and collapsing identical records across the submitted rows, and (2) a numeric row ordering report ranking rows by the selected field (duplicate_rows or total_rows). Results are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Field value outside allowed numeric range — validation error","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and numeric ordering of duplicate observation metrics in a single call on user-supplied data. It is ideal for data quality audits, ETL pipeline validation, and dataset merge preparation where you want two bundled analytical reports without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:17.999Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-exact-row-deduplication-numeric-row-ordering-c95e69dc"}