{"uid":"cap_IsjeFBsYB-Nnc6YAlf5-0","slug":"numeric-precision-comparisons-exact-row-deduplication-grouped-numeric-4704689f","name":"Numeric Precision Comparisons — Exact Row Deduplication + Grouped Numeric Summary","description":"Numeric precision comparisons — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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-20-040?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"}}},"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_Qw1Ail_NPUrK3b5CdRa9v","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 rows and produces grouped numeric summaries for supplied source_value/transformed_value pairs, running two local analytical reports on up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of source and transformed numeric values across a few dataset groups — can you deduplicate the rows exactly and give me a grouped numeric summary report for the source_value field? Here's the data: row-1, group-a, 2026-10-01, source_value=10, transformed_value=1; row-2, group-b, 2026-10-02, source_value=20, transformed_value=2; row-3, group-a, 2026-10-03, source_value=15, transformed_value=3.","exampleUseCases":[{"title":"ETL pipeline numeric validation","prompt":"I've run an ETL job and have 150 rows of source and transformed numeric values across three groups — can you deduplicate the exact rows and give me a grouped summary of the source_value field so I can spot any transformation anomalies? Groups are 'raw', 'normalized', and 'adjusted', with dates from 2025-01-01 to 2025-06-30."},{"title":"Data quality audit for financial records","prompt":"I have a spreadsheet of up to 200 financial records with original and adjusted amounts grouped by region, and I suspect there are duplicate entries — can you run exact row deduplication and then give me grouped numeric stats on the transformed_value field?"},{"title":"Grouped stats for A/B test numeric outcomes","prompt":"I have experiment data with source and transformed numeric outcomes across two groups, 'control' and 'treatment', for about 80 rows — can you deduplicate them exactly and produce a grouped numeric summary on the source_value column?"}],"resultDescription":"Returns two independent analytical reports: (1) a deduplicated set of rows with exact duplicates removed, and (2) a grouped numeric summary (e.g. count, sum, mean, min, max) computed per dataset_group for the selected field (source_value or transformed_value). Both reports are computed locally with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected or truncated","Missing required fields (row_id, dataset_group, date, source_value or transformed_value) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Empty rows array — minimum 1 item not met","Invalid field selector (not 'source_value' or 'transformed_value') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication AND grouped numeric summary statistics in a single call on a dataset of up to 200 rows with source/transformed numeric value pairs. It is ideal for data quality checks on ETL outputs, audit workflows, or A/B test result analysis where you want two reports for one low-cost payment. Prefer this over general analytics tools when your data fits the row_id/dataset_group/date/source_value/transformed_value schema and you need offline, deterministic computation with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:43.859Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-exact-row-deduplication-grouped-numeric-4704689f"}