{"uid":"cap_61BnhZUGM2AB88ZFc_Abb","slug":"data-reconciliation-analytics-record-quality-audit-string-a1975b01","name":"Data Reconciliation Analytics — Record Quality Audit, String Normalisation & Two-Measure Correlation","description":"Data reconciliation — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-204?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_ZUK35E6qSl6DitMqan5fC","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":"Runs three local analytical reports on up to 200 reconciliation rows: a record quality audit, string normalisation, and Pearson/rank correlation between source_total and target_total.","exampleAgentPrompt":"Can you run the three-report reconciliation analytics — record quality audit, string normalisation, and source-vs-target correlation — on this dataset of 50 rows from group 'finance-q3', with dates in October 2026 and source_total and target_total values from our ETL pipeline?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I've got 120 rows of ETL output with row IDs, dates from 2025-01-01 onwards, dataset group 'payments', and source and target totals. Can you run the record quality audit, string normalisation, and two-measure correlation reports to see how clean and consistent the data is?"},{"title":"Monthly reconciliation mismatch investigation","prompt":"We have 80 reconciliation rows from our monthly close — group 'ledger-oct', dates in October 2025, source_total from our GL and target_total from our bank feed. Run all three analytics reports so I can understand data quality issues and whether the two totals are correlated."},{"title":"Onboarding data integrity validation","prompt":"Before we import this vendor dataset into our system, can you audit the 150 rows for record quality issues, normalise any inconsistent strings in the dataset_group column, and tell me the correlation between source_total and target_total? Dates range from 2024-06-01 to 2024-09-30, group is 'vendor-onboarding'."}],"resultDescription":"Returns three independent analytical reports for the submitted reconciliation rows: (1) a record quality audit flagging completeness, format, and validity issues; (2) a string normalisation report standardising text fields like dataset_group; (3) a two-measure correlation report quantifying the statistical relationship between source_total and target_total across all rows. All analysis is performed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, source_total, target_total) cause row-level rejection","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 are rejected by schema bounds","Empty rows array (minItems:1 not met) returns a schema validation error"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-efficient set of three reconciliation-focused analytical reports (quality audit, string normalisation, correlation) on a batch of up to 200 rows for a flat $0.01 USDC fee. It is ideal for ETL validation, monthly financial close reconciliation checks, or pre-import data integrity reviews where no live external data, predictions, or professional assessments are needed. Prefer it over single-report alternatives on the same platform when all three report types are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:13.400Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-analytics-record-quality-audit-string-a1975b01"}