{"uid":"cap_b0mdqTVdfDfR6R1VAqL22","slug":"transformation-throughput-analytics-iqr-outlier-flags-two-measure-75ee4379","name":"Transformation Throughput Analytics — IQR Outlier Flags + Two-Measure Correlation","description":"Transformation throughput — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-176?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"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},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"}}},"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_tSif4wq9c5X7ghc5b9xnf","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 transformation throughput records (processed_rows, duration_seconds) to flag IQR-based outliers and compute correlation between the two measures, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a two-measure correlation analysis on my transformation throughput data? I have up to 50 rows with processed_rows and duration_seconds fields — flag any outliers and tell me how correlated those two measures are.","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have a log of 120 transformation jobs with dates, row counts processed, and how many seconds each took — can you flag any rows where the processed_row count looks like a statistical outlier using IQR, and also tell me the correlation between rows processed and duration?"},{"title":"Data quality audit for throughput records","prompt":"Run an outlier check and correlation report on my dataset group performance records — I've got about 80 rows with processed_rows and duration_seconds. I want to know which records are IQR outliers and whether the two measures move together."},{"title":"Benchmark validation for batch jobs","prompt":"We're validating our nightly batch jobs and have 40 throughput records. Can you analyze processed_rows for IQR outliers and compute the correlation between processed_rows and duration_seconds across all those records?"}],"resultDescription":"Returns two analytical reports: (1) an IQR outlier flags report identifying which rows have processed_rows or duration_seconds values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between processed_rows and duration_seconds across the submitted dataset. No external lookups or predictions are made — all analysis is performed on the supplied data only.","failureModes":["Fewer than 1 row submitted — endpoint requires at least 1 row","More than 200 rows submitted — exceeds maximum item limit","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","All values null for a measure — correlation or IQR computation may be undefined","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records with processed_rows and duration_seconds fields and need both IQR-based outlier flagging and a correlation analysis in a single paid call. It is ideal for data engineering teams auditing ETL pipeline performance without needing external data, predictions, or professional interpretation — just local statistical computation on supplied data at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:22.056Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-iqr-outlier-flags-two-measure-75ee4379"}