{"uid":"cap_7C3fU-UfH9helDyqqa43F","slug":"data-reconciliation-analytics-grouped-numeric-summary-two-measure-bbe98619","name":"Data Reconciliation Analytics: Grouped Numeric Summary + Two-Measure Correlation","description":"Data reconciliation — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation for supplied data reconciliation records (source_total, target_total). 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-11-095?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"}}},"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_ojPhH3YnJ2dtw__rTqXFn","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 a grouped numeric summary and a two-measure correlation report for supplied data reconciliation records (source_total vs. target_total) across up to 200 rows.","exampleAgentPrompt":"I have 50 reconciliation rows with source_total and target_total values across two groups — 'region-east' and 'region-west' — spanning October 2026. Can you run a grouped numeric summary and a correlation between source_total and target_total for me?","exampleUseCases":[{"title":"Finance team reconciliation audit","prompt":"We have 120 reconciliation records from Q3 across three dataset groups — 'payments', 'refunds', and 'adjustments' — each with a source_total and target_total. Can you give me a grouped numeric summary and also tell me how correlated the source and target totals are?"},{"title":"ETL pipeline validation check","prompt":"After our nightly ETL run I have 80 rows comparing source and target system totals across groups 'pipeline-a' and 'pipeline-b' for dates in September 2026. Run a grouped numeric summary and a two-measure correlation on source_total vs target_total so I can see if the pipeline is producing consistent results."},{"title":"Cross-system data discrepancy analysis","prompt":"I'm comparing data from two systems and have 35 reconciliation records split across groups 'crm' and 'erp' with dates in November 2026. Generate a grouped summary of source_total and a correlation between source_total and target_total so I can quantify the discrepancy."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary of the selected field (source_total or target_total) broken down by dataset_group, including aggregates such as count, mean, min, max, and sum per group; and (2) a two-measure correlation report quantifying the statistical relationship between source_total and target_total across all supplied rows. Both reports are computed locally from the submitted data with no external lookups.","failureModes":["Exceeding 200 rows causes a validation error — batch must be split","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema validation failure","Numeric values outside ±1,000,000,000,000 are rejected","Submitting only 1 row may produce degenerate or undefined correlation results","Null values in source_total or target_total may reduce effective sample size for correlation"],"whenToPreferThis":"Choose this endpoint when you need both a grouped numeric summary AND a two-measure correlation on data reconciliation records (source vs. target totals) in a single paid call. It is ideal for ETL validation, financial reconciliation audits, and cross-system data quality checks where you already have the data locally and need fast statistical analysis without live data lookups or external integrations. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch analytical tasks on pre-collected reconciliation datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:55.598Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-analytics-grouped-numeric-summary-two-measure-bbe98619"}