{"uid":"cap_840j5c9FrdPHihBIv4L6M","slug":"data-reconciliation-exact-row-deduplication-two-measure-correlation-16c1c876","name":"Data Reconciliation: Exact Row Deduplication + Two-Measure Correlation","description":"Data reconciliation — Exact row deduplication + Two-measure correlation: Exact row deduplication + 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-11-050?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}}},"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_u3tBYwjh66DAUBmwZkO-g","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":"Deduplicates rows exactly and computes two-measure correlation between source_total and target_total for up to 200 reconciliation records, returning two analytical reports per call.","exampleAgentPrompt":"Can you run a deduplication and two-measure correlation analysis on my reconciliation data? I have rows with row_id, dataset_group, date, source_total, and target_total — up to 200 rows — and I need both the duplicate-removal report and the correlation between source and target figures.","exampleUseCases":[{"title":"ETL pipeline source-target drift check","prompt":"I just ran my nightly ETL and I have up to 150 rows with source_total and target_total for each date and dataset group. Can you deduplicate them exactly and then tell me how correlated the source and target totals are across the whole batch?"},{"title":"Finance reconciliation duplicate audit","prompt":"We're reconciling our accounts across two systems — I have about 80 rows tagged by dataset_group and date, each with a source_total and target_total. Please remove any exact duplicate rows and give me a correlation report between the two totals."},{"title":"Data quality check before reporting","prompt":"Before I finalize my monthly report, can you run exact deduplication and a two-measure correlation on my dataset? It has rows with row_id, group labels, dates, and source vs target totals — around 60 rows total — so I can confirm the data is clean and the two measures track each other."}],"resultDescription":"Returns two analytical reports per call: (1) an exact row deduplication report identifying and removing duplicate rows from the submitted dataset, and (2) a two-measure correlation report quantifying the statistical relationship between source_total and target_total values across the submitted rows. Reports are computed locally with no external lookups or predictions.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, dataset_group, date, source_total, or target_total) on any row — validation error","Date values not in YYYY-MM-DD format — schema validation failure","source_total or target_total values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejection","Insufficient variation in source_total or target_total to compute meaningful correlation — degenerate result","Payment not processed — x402 payment required before results returned"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication AND correlation analysis between two numeric measures in a single paid call, at low cost ($0.01 USDC for both reports). Ideal for ETL validation, financial reconciliation, and data quality pipelines where you want to clean duplicates and quantify source-target agreement simultaneously without calling external systems or predictive models.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:37.691Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-exact-row-deduplication-two-measure-correlation-16c1c876"}