{"uid":"cap_ITK1oxYW3WXPFHCfUMpC0","slug":"data-reconciliation-base-100-series-two-measure-correlation-68809c75","name":"Data Reconciliation: Base-100 Series + Two-Measure Correlation","description":"Data reconciliation — Base-100 series + Two-measure correlation: Base-100 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-11-165?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_0Q4NOWniKyAPVb4LSKLiL","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":"Generates a base-100 index series and a two-measure correlation report for up to 200 rows of source/target reconciliation data using local analytical engines.","exampleAgentPrompt":"I have a dataset of daily source and target revenue figures across two groups — can you rebase the source_total series to 100 starting from row 0 and also run a two-measure correlation between source_total and target_total? Here are up to 50 rows with row_id, date (YYYY-MM-DD), dataset_group, source_total, and target_total.","exampleUseCases":[{"title":"Monthly budget vs actuals reconciliation","prompt":"I have 60 rows of monthly budget figures — each row has a row_id, date, dataset_group called 'budget-ops', a source_total (planned spend), and target_total (actual spend). Can you rebase the source_total series to 100 starting at row 0 and also compute the correlation between the two measures so I can see how closely actuals track the plan?"},{"title":"Cross-system sales data alignment","prompt":"We pull sales totals from two systems each day and I want to know if they're diverging. I've got 90 rows with row_ids, dates, dataset_group 'sales-reconcile', source_total from system A, and target_total from system B. Please build a base-100 index on source_total from the first row and show me the correlation between the two series."},{"title":"Inventory count source-target drift analysis","prompt":"Can you run a base-100 normalization and a two-measure correlation on my inventory reconciliation data? I have 120 rows — each has a row_id, date, dataset_group 'warehouse-east', source_total as the ERP count, and target_total as the physical count. Start the index at row 0 on source_total."}],"resultDescription":"Returns two analytical reports: (1) a base-100 index series rebasing the chosen field (source_total or target_total) relative to a specified row, and (2) a two-measure correlation report quantifying the statistical relationship between source_total and target_total across the supplied rows. No external data is fetched; all computation is performed on the submitted data using local analytical engines.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","base_index value exceeds the number of supplied rows — index out of bounds error","Null values in source_total or target_total may affect correlation calculation","Dates not matching YYYY-MM-DD pattern — schema validation failure","row_id or dataset_group fields exceeding 80-character limit — validation error","Values outside the ±1,000,000,000,000 range — rejected by schema bounds"],"whenToPreferThis":"Choose this endpoint when you have already collected source and target numeric totals and need two offline analytical outputs — a base-100 time series and a correlation coefficient — without any external data fetching, prediction, or professional assessment. It is ideal for reconciliation workflows where you want to normalize a series to a common baseline and simultaneously quantify how closely the two measures track each other, all in a single low-cost call for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:02.757Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-base-100-series-two-measure-correlation-68809c75"}