{"uid":"cap_w4LFmwEGRkHF7uAADjXW8","slug":"numeric-precision-comparisons-duplicate-key-report-explicit-missing-e50704cd","name":"Numeric Precision Comparisons — Duplicate Key Report + Explicit Missing-Value Fill","description":"Numeric precision comparisons — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill 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-20-070?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},"field":{"enum":["source_value","transformed_value"],"type":"string","default":"source_value"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_MRbjd7C6IAyJ9_15qXKF5","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 up to 200 rows of numeric source/transformed value pairs, producing a duplicate key report and an explicit missing-value fill report using local analytical engines.","exampleAgentPrompt":"I have 50 rows of source and transformed numeric values with some missing entries and possible duplicate row IDs — can you run a duplicate key report and fill the missing source_value fields using the median, grouped by dataset_group and date?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I just ran an ETL job and I have 120 rows with source_value and transformed_value columns — some rows look duplicated and a few source_values are null. Can you flag all the duplicate row IDs and fill in the missing source_values using the mean?"},{"title":"Numeric transformation audit for finance data","prompt":"I need to audit these 80 financial comparison records for duplicate keys and fill any missing transformed_value entries with the median value — the dataset has row IDs, dates, and group labels included."},{"title":"Data preparation before model training","prompt":"Before I feed this dataset into my model, can you check these 200 rows for duplicate row IDs and replace any null source_values with zero so I have a clean numeric input?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows that share the same row_id, and (2) an explicit missing-value fill report showing which rows had null source_value or transformed_value entries and what values were substituted using the chosen fill method (zero, mean, or median). No external lookups or predictions are made.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Numeric values outside the ±1,000,000,000,000 range are rejected","Empty rows array returns an error","Invalid enum value for field or method parameters causes validation error","Payment not included or insufficient USDC results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and missing-value imputation on numeric source/transformed value pairs in a single low-cost call (0.01 USDC). It is ideal for lightweight data quality checks on datasets up to 200 rows where no external data, predictions, or professional assessments are needed — purely local, deterministic analytical processing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:48.250Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-duplicate-key-report-explicit-missing-e50704cd"}