{"uid":"cap_Am_ZwaiYfoHNcc5u2A62X","slug":"numeric-precision-comparisons-grouped-summary-keyed-dataset-comparison-16c27efc","name":"Numeric Precision Comparisons — Grouped Summary & Keyed Dataset Comparison","description":"Numeric precision comparisons — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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-20-098?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["source_value","transformed_value"],"type":"string","default":"source_value"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":17,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":33,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":0}}},"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_AOK6N48S_oS8EA4TF3sO7","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":"Computes grouped numeric statistics and row-keyed comparison reports for source vs. transformed value pairs across up to 200 records.","exampleAgentPrompt":"Can you run a grouped numeric summary and keyed comparison on these two datasets — both have up to 40 rows with row_id, dataset_group, date, source_value, and transformed_value — and analyze the source_value field to show me where the numbers diverge between the two sets?","exampleUseCases":[{"title":"ETL transformation accuracy audit","prompt":"I have a before-and-after dataset from our ETL pipeline — up to 120 rows each with a row_id, group label, date, source_value, and transformed_value. Can you run a grouped numeric summary and a keyed comparison on the source_value field across both datasets to identify where the transformation introduced discrepancies?"},{"title":"Financial data precision validation","prompt":"We ran a currency rounding process on 80 rows of financial data. Each row has a row_id, dataset_group, date, original amount as source_value, and the rounded result as transformed_value. Can you give me a grouped summary and a side-by-side keyed comparison on source_value to quantify precision loss by group?"},{"title":"A/B model output numeric comparison","prompt":"I have outputs from two versions of our scoring model — both datasets have the same row_ids, a group field, a date, and scores in source_value and transformed_value. Please run a grouped numeric summary and keyed dataset comparison on transformed_value so I can see how the two model versions differ per group."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary aggregating statistics (e.g. mean, min, max, count) per dataset_group for the selected field, and (2) a keyed dataset comparison report matching rows by row_id across the primary and secondary datasets to surface per-row and aggregate differences. No external lookups or predictions are made; all computation is local.","failureModes":["Exceeds 200-row limit — request rejected with validation error","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause schema validation failure","Mismatched row_ids between primary and secondary datasets may result in unmatched rows in the comparison report","Null values in source_value or transformed_value are accepted but may affect aggregate statistics","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Values outside ±1,000,000,000,000 range are rejected"],"whenToPreferThis":"Choose this endpoint when you need to locally analyze numeric precision differences between a source and a transformed dataset in a grouped, auditable way — especially for ETL validation, model output comparison, or data transformation QA. It delivers two bundled analytical reports (grouped summary + keyed comparison) for $0.01 USDC, making it cost-effective for batch validation up to 200 rows. Prefer this over general-purpose analytics tools when you already have structured row data with group labels and want deterministic, offline computation with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:08.980Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-grouped-summary-keyed-dataset-comparison-16c27efc"}