{"uid":"cap_72ywSaLw058G6hCgBRYs6","slug":"schema-conformity-analytics-iqr-outlier-flags-two-measure-correlation-98af941e","name":"Schema Conformity Analytics — IQR Outlier Flags + Two-Measure Correlation","description":"Schema conformity — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied schema conformity records (valid_records, checked_records). 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-02-176?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"}}},"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_23gHaUQwv_hofri-pK-5K","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 IQR-based outlier detection and two-measure correlation analysis on schema conformity records (valid_records, checked_records) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run IQR outlier detection and a two-measure correlation report on my schema conformity data — I have about 50 rows with valid_records and checked_records fields across multiple dataset groups, and I want to see which rows are flagged as outliers and how the two measures relate to each other?","exampleUseCases":[{"title":"Data pipeline quality audit","prompt":"I've got 120 rows of daily schema conformity logs with valid_records and checked_records for two dataset groups. Can you flag any IQR outliers and tell me how correlated those two measures are across the dataset?"},{"title":"Spotting anomalous validation batches","prompt":"We ran schema checks over the past quarter — I have about 80 rows with valid_records and checked_records per batch. Can you identify which batches are statistical outliers using IQR and show me the correlation between the two record counts?"},{"title":"Comparing conformity across dataset groups","prompt":"Here are 40 rows of conformity metrics split across group-a and group-b, each with valid_records and checked_records values. Please run the IQR outlier flags and a two-measure correlation report so I can see if either group is behaving anomalously."}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have valid_records or checked_records values that fall outside the interquartile range bounds, and (2) a two-measure correlation report quantifying the statistical relationship between valid_records and checked_records across the supplied rows.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — rejected with maxItems error","Missing required fields (row_id, date, valid_records, checked_records) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Null values in both measures may reduce correlation reliability","Insufficient variance in data may produce degenerate IQR or correlation results"],"whenToPreferThis":"Choose this endpoint when you have schema conformity or data validation metrics (valid_records, checked_records) and need both outlier detection and correlation analysis in a single low-cost call. It is ideal for data quality monitoring workflows where you want to flag anomalous batches and understand the relationship between two related count measures without any external data lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:18.809Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-iqr-outlier-flags-two-measure-correlation-98af941e"}