{"uid":"cap_pxgCuMQODiFCcYJylI5_p","slug":"data-reconciliation-duplicate-key-report-two-measure-correlation-2b20b7d0","name":"Data Reconciliation — Duplicate Key Report + Two-Measure Correlation","description":"Data reconciliation — Duplicate key report + Two-measure correlation: Duplicate key report + 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-11-066?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_0s_aGnE1xHq97thiU1XjB","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":"Analyzes up to 200 reconciliation records to produce a duplicate key report and a Pearson/linear correlation report between source_total and target_total values.","exampleAgentPrompt":"Check my reconciliation data for duplicate row IDs and compute the correlation between source_total and target_total — I have rows like: row-1 on 2026-10-01 in group-a with source 10 and target 1, row-2 on 2026-10-02 in group-b with source 20 and target 2, row-3 on 2026-10-03 in group-a with source 15 and target 3, and row-4 on 2026-10-04 in group-b with source 30 and target 4.","exampleUseCases":[{"title":"ETL pipeline duplicate key audit","prompt":"I've got 80 rows from my ETL pipeline — each has a row_id, a dataset group, a date, and source and target totals. Can you run a duplicate key check on those row IDs and also tell me how correlated the source_total and target_total values are?"},{"title":"Financial reconciliation correlation check","prompt":"I'm reconciling our ledger: I have 50 rows with row IDs, grouped into 'accounts-payable' and 'accounts-receivable', dated from 2026-01-01 through 2026-02-19, with source totals from our ERP and target totals from the bank. Are there any duplicate row IDs, and how strongly do the source and target amounts correlate?"},{"title":"Data warehouse daily validation","prompt":"Every day I get a batch of up to 150 reconciliation records from our data warehouse — each row has a unique key, a group label, a date, and two numeric totals. Can you flag any duplicate keys in today's batch and compute the correlation between the two total columns?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values within the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between source_total and target_total across all submitted rows. No external data is fetched; all computation is performed locally on the supplied data.","failureModes":["Missing required fields (row_id, dataset_group, date, source_total, target_total) cause validation errors","Exceeding 200 rows returns an error — only up to 200 rows accepted per call","Invalid date format (not YYYY-MM-DD) causes schema validation failure","All-null source_total or target_total values may cause correlation report to be undefined or return NaN","row_id values exceeding 80 characters cause validation rejection","Numeric values outside ±1,000,000,000,000 are rejected"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key audit and a correlation analysis on a batch of up to 200 reconciliation records in a single low-cost call ($0.01 USDC). It is ideal for ETL validation, financial reconciliation QA, and data warehouse diffing where you supply the data directly and need fast, local computation without any external lookups or live data connections.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:00.279Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-duplicate-key-report-two-measure-correlation-2b20b7d0"}