{"uid":"cap_7sQluExkF1LnPlwOS7wgN","slug":"numeric-precision-comparisons-distribution-date-by-category-pivot-cc420893","name":"Numeric Precision Comparisons — Distribution & Date-by-Category Pivot Analytics","description":"Numeric precision comparisons — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-20-083?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_ckYfcX75Bm3PT78jfWSBc","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 user-supplied numeric precision comparison data: a numeric distribution analysis and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Analyze the distribution and date-by-category pivot for my numeric precision comparison data — I have 150 rows with source_value and transformed_value fields across groups like 'group-a' and 'group-b' dated from 2026-10-01, and I want both reports focusing on source_value.","exampleUseCases":[{"title":"ETL pipeline value drift check","prompt":"I ran an ETL job that transformed 120 rows of financial figures — can you analyze the distribution of the source_value column and show me a date-by-category pivot so I can see where the numbers shifted the most across my 'revenue' and 'cost' groups from 2025-01-01 through 2025-03-31?"},{"title":"Data quality audit across experiment groups","prompt":"I have 80 rows of experiment data with source_value and transformed_value for groups 'control' and 'treatment' across dates in November 2024 — run both the numeric distribution report and the date-by-category pivot on the transformed_value field so I can check if the transformation behaved consistently."},{"title":"Sales conversion numeric comparison summary","prompt":"Here are 200 rows of sales funnel data with original and adjusted conversion rates by region group and date — give me the numeric distribution and the date-by-category pivot for source_value so I can see how the raw figures are spread out and how they vary by group over time."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram bins) for the selected numeric field (source_value or transformed_value), and (2) a date-by-category pivot table breaking down values by date and dataset_group. All computation is local with no external lookups or predictions.","failureModes":["Empty or missing rows array returns an error","Rows exceeding 200 items are rejected","Invalid date format (not YYYY-MM-DD) fails schema validation","source_value or transformed_value outside ±1,000,000,000,000 range rejected","Invalid field enum value (not source_value or transformed_value) causes error","row_id missing or empty string fails minLength validation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of numeric source/transformed value pairs grouped by category and date, and you need both a distribution analysis and a pivot table in a single low-cost call ($0.01 USDC). Ideal for ETL validation, data quality audits, or experiment comparisons where you want offline statistical summaries without external data lookups or model predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:13.116Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-distribution-date-by-category-pivot-cc420893"}