{"uid":"cap_rdn1m4u1QNq-5yb_KG6sv","slug":"data-reconciliation-daily-sum-series-two-measure-correlation-a8bc6fae","name":"Data Reconciliation — Daily Sum Series + Two-Measure Correlation","description":"Data reconciliation — Daily sum series + Two-measure correlation: Daily sum series + 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-11-141?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_j9q4MQgZjgmRpwAJomRUp","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 daily sum time series and a two-measure correlation analysis for supplied source_total and target_total reconciliation data, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 rows of daily reconciliation data with source_total and target_total figures grouped into 'ledger-a' and 'ledger-b' from October 2026 — can you run a daily sum series and a two-measure correlation analysis on them to see how well the two totals align?","exampleUseCases":[{"title":"Finance team source vs target reconciliation","prompt":"I've got 120 rows of daily finance reconciliation records across two dataset groups — 'accounts-payable' and 'accounts-receivable' — each with a source_total and target_total from Q3 2026. Can you compute the daily sum series and the correlation between source and target totals so I can see where they diverge?"},{"title":"ETL pipeline data quality check","prompt":"After our ETL run last week I have 80 daily rows comparing source_total from our data warehouse and target_total from our reporting system, grouped as 'pipeline-prod'. Run a daily sum aggregation and a two-measure correlation on those so I can confirm the pipeline is producing consistent numbers."},{"title":"Multi-group revenue reconciliation audit","prompt":"I need to reconcile revenue figures for three dataset groups — 'region-north', 'region-south', and 'region-east' — covering 150 daily rows from November 2026. Please generate the daily sum series and a correlation report between the source_total and target_total columns."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating source_total and/or target_total by date and dataset group, and (2) a two-measure correlation analysis quantifying the statistical relationship between source_total and target_total across the supplied rows. Both reports are computed locally with no external lookups or predictions, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, source_total, target_total) cause validation errors","Dates not in YYYY-MM-DD format fail pattern validation","Numeric values outside the ±1,000,000,000,000 range are rejected","Insufficient variation in data may produce degenerate or undefined correlation results","All-null source_total or target_total columns prevent meaningful aggregation"],"whenToPreferThis":"Choose this endpoint when you have a batch of daily reconciliation records (up to 200 rows) with paired source and target numeric totals and need both a time-aggregated daily sum series and a statistical correlation between the two measures in a single low-cost call. Prefer it over general analytics platforms when you want a lightweight, pay-per-use solution without setting up infrastructure, and when you need two complementary reconciliation reports (aggregation + correlation) together rather than separately.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:41.442Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-daily-sum-series-two-measure-correlation-a8bc6fae"}