{"uid":"cap_BefgMnA3rdpt4WOifXpsl","slug":"numeric-precision-comparisons-distribution-correlation-analytics-012d6c96","name":"Numeric Precision Comparisons — Distribution & Correlation Analytics","description":"Numeric precision comparisons — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation 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-20-081?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_hgvP7t5xz2jfthWFpu4JQ","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 numeric distribution statistics and two-measure correlation for supplied source_value/transformed_value pairs (up to 200 rows), returning two independent analytical reports.","exampleAgentPrompt":"I have 150 rows of before-and-after numeric precision data with source_value and transformed_value fields — can you run a distribution analysis on the source_value field and a two-measure correlation report between the two columns?","exampleUseCases":[{"title":"ETL pipeline numeric validation","prompt":"I've run my ETL transformation and have 80 rows with original values in source_value and post-transform values in transformed_value — can you give me a distribution report on source_value and a correlation analysis between the two measures to see if the transformation held up?"},{"title":"A/B test numeric output comparison","prompt":"I have two groups of experiment results — group-a and group-b — each with a raw score and an adjusted score. Can you analyze the distribution of those raw scores and tell me how correlated they are with the adjusted scores across my 120 rows?"},{"title":"Data quality audit on precision rounding","prompt":"We're auditing numeric precision rounding in our pricing pipeline. I have 200 rows with the pre-rounding value as source_value and post-rounding value as transformed_value — please run both a distribution report and a correlation check so I can spot any systematic drift."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report covering spread, central tendency, and key percentiles for the selected field; (2) a two-measure correlation report quantifying the relationship between source_value and transformed_value across all supplied rows.","failureModes":["Exceeding 200 rows causes a validation error","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) causes rejection","Invalid date format (non-YYYY-MM-DD) triggers a pattern validation error","All-null source_value or transformed_value columns may produce degenerate or empty statistics","Values outside ±1,000,000,000,000 range are rejected","Payment of 0.01 USDC not received results in 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a distribution profile and a correlation analysis on paired numeric columns (source vs. transformed) in a single low-cost call, without needing live data lookup, prediction, or external integrations. Ideal for ETL validation, data quality audits, and precision comparison workflows with up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:14.496Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-distribution-correlation-analytics-012d6c96"}