{"uid":"cap_Ec4fCmxDrH5fv9bYr_vyh","slug":"numeric-precision-comparisons-exact-row-deduplication-duplicate-key-2d689b1c","name":"Numeric Precision Comparisons — Exact Row Deduplication + Duplicate Key Report","description":"Numeric precision comparisons — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report for supplied numeric precision comparisons records (source_value, transformed_value). 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-20-038?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1}}},"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_2e11t5jKkj0sPC0wZJC3_","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":"Deduplicates up to 200 numeric precision comparison rows and generates a duplicate key report from supplied source/transformed value records.","exampleAgentPrompt":"Can you deduplicate these numeric comparison records and give me a duplicate key report? I have up to 50 rows, each with a row_id, dataset_group, date, source_value, and transformed_value — I want to know which rows are exact duplicates and get a clean deduplicated set back.","exampleUseCases":[{"title":"ETL pipeline duplicate audit","prompt":"I ran a data transformation job and I think some rows got duplicated — can you take these 80 source/transformed value pairs with their row IDs and dataset groups and tell me which ones are exact duplicates and give me a clean deduplicated output?"},{"title":"Numeric precision data QA check","prompt":"I have 120 rows of numeric precision comparison data with source_value and transformed_value columns and I need two reports: one showing exact duplicate rows removed, and one showing which row IDs appear more than once — can you run that analysis?"},{"title":"Dataset group deduplication before merge","prompt":"Before I merge these two dataset groups, can you check my 45 records for exact row duplicates? Each row has a row_id, dataset_group, date, source_value, and transformed_value — I need both a deduplicated export and a report of any duplicate keys found."}],"resultDescription":"Two independent analytical reports: (1) an exact row deduplication report listing unique rows from the submitted dataset, and (2) a duplicate key report identifying row_ids or record combinations that appear more than once across the supplied numeric precision comparison records.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems: 1) returns an error"],"whenToPreferThis":"Choose this endpoint when you need to deduplicate numeric source/transformed value pairs in batch (up to 200 rows) and require both a clean deduplicated dataset and a separate duplicate key report in a single call, without needing any external data lookup, prediction, or live data enrichment. Ideal for data quality checks in ETL pipelines or data transformation audits.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:02.696Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-exact-row-deduplication-duplicate-key-2d689b1c"}