{"uid":"cap_xXu-VW4P3K-MKm56zSM0s","slug":"duplicate-observations-exact-row-deduplication-date-by-category-pivot-f3936420","name":"Duplicate Observations: Exact Row Deduplication + Date-by-Category Pivot","description":"Duplicate observations — Exact row deduplication + Date by category pivot: Exact row deduplication + 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-04-052?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_ZliiErH2F_ArbhRwwOvrl","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":"Runs two local analytical reports on supplied duplicate-observation records: exact row deduplication and a date-by-category pivot table, for up to 200 rows at once.","exampleAgentPrompt":"I have a batch of duplicate-observation records with row IDs, dates, dataset groups, and duplicate/total row counts — can you run exact row deduplication and a date-by-category pivot on them? Here are 4 rows: row-1 on 2026-10-01 in group-a with 10 duplicate_rows out of 1 total, row-2 on 2026-10-02 in group-b with 20 duplicate_rows out of 2 total, row-3 on 2026-10-03 in group-a with 15 duplicate_rows out of 3 total, and row-4 on 2026-10-04 in group-b with 30 duplicate_rows out of 4 total; use duplicate_rows as the pivot field.","exampleUseCases":[{"title":"Data pipeline duplicate audit","prompt":"I've got 150 rows of daily duplicate-observation data across four dataset groups — can you deduplicate them exactly and give me a pivot of duplicate_rows by date and group so I can see where duplication spikes?"},{"title":"Monthly data quality review","prompt":"Here are our duplicate observation records for last month, with row IDs, dates, group names, and duplicate/total row counts — run exact row deduplication and a date-by-category pivot on total_rows so I can summarize data quality by group over time."},{"title":"ETL validation report","prompt":"After our ETL run I have up to 200 observation records tagged with dataset_group and date, each showing duplicate_rows and total_rows — can you deduplicate the exact rows and pivot duplicate_rows by date and category so I can validate the pipeline output?"}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication result identifying and removing identical records from the supplied dataset, and (2) a pivot table cross-tabulating the selected numeric field (duplicate_rows or total_rows) by date and dataset_group category — all computed locally without any external lookup or live data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) on any row — validation error","Date values not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array (minItems:1 not met) — error","Invalid field enum value (not 'duplicate_rows' or 'total_rows') — rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of duplicate-observation records with date, category group, and numeric duplicate/total counts, and you need both exact deduplication and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for data quality audits, ETL validation, and pipeline monitoring where you supply the data locally and need two structured analytical reports without any external API dependency or live lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:52:55.276Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-exact-row-deduplication-date-by-category-pivot-f3936420"}