{"uid":"cap_UbNjuIHM8dYuuMkdNnUGi","slug":"data-reconciliation-iqr-outlier-flags-two-measure-correlation-f7dfb1c2","name":"Data Reconciliation — IQR Outlier Flags + Two-Measure Correlation","description":"Data reconciliation — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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-11-176?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_SQKbw1wEfpMtKUPIiCgtO","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 two analytical reports on up to 200 data reconciliation rows: IQR-based outlier flagging on a selected field and Pearson/correlation analysis between source_total and target_total.","exampleAgentPrompt":"I have up to 200 reconciliation rows with source_total and target_total values — can you run IQR outlier flagging on source_total and also compute the two-measure correlation between source_total and target_total across all rows?","exampleUseCases":[{"title":"Detect outlier rows in nightly reconciliation","prompt":"Here are 150 rows from last night's reconciliation run with source_total and target_total for each date and group — please flag any source_total values that fall outside the IQR range and also show me how correlated source_total and target_total are across the whole batch."},{"title":"Validate ETL pipeline output consistency","prompt":"I've got 80 rows from our ETL pipeline comparing source and target totals by dataset_group and date — can you flag any target_total outliers using IQR and tell me the correlation between source_total and target_total so I can see if they're moving together?"},{"title":"Audit financial reconciliation for anomalies","prompt":"We have daily source and target financial totals for Q3 across two groups, about 90 rows total — please run the IQR outlier check on source_total and compute the correlation between source_total and target_total so we can spot any reconciliation issues."}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have source_total or target_total values beyond 1.5× the interquartile range, including the IQR bounds and flagged row IDs; (2) a two-measure correlation report showing the statistical relationship between source_total and target_total across all supplied rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit and will be rejected","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","source_total or target_total values outside ±1,000,000,000,000 are rejected","Too few rows (fewer than 1) causes an error; correlation may be unreliable with very small datasets"],"whenToPreferThis":"Choose this endpoint when you need both outlier detection and correlation analysis on the same reconciliation dataset in a single API call for a flat $0.01 USDC fee. It is ideal for data engineering, ETL validation, or finance teams checking source-vs-target consistency across up to 200 dated rows. Prefer this over separate single-report endpoints when you want both IQR flagging and correlation in one round-trip without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:41.139Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-iqr-outlier-flags-two-measure-correlation-f7dfb1c2"}