{"uid":"cap_tN2bc5qHq2VBrEVeqsA2m","slug":"transformation-throughput-numeric-distribution-iqr-outlier-flags-eee37328","name":"Transformation Throughput — Numeric Distribution + IQR Outlier Flags","description":"Transformation throughput — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags 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-13-080?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__ce8bWg5gsYIDqq_qGhC5","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":"Computes numeric distribution statistics and IQR-based outlier flags for transformation throughput records (processed_rows and duration_seconds) across up to 200 rows, producing 2 independent analytical reports.","exampleAgentPrompt":"I have a set of ETL job records with processed_rows and duration_seconds — can you run a numeric distribution analysis and flag any IQR outliers in the processed_rows field for up to 200 rows of my transformation throughput data?","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have 150 daily ETL run records with processed_rows and duration_seconds — can you analyze the distribution of processed_rows and flag any IQR outliers so I can spot anomalous pipeline runs?"},{"title":"Pipeline duration outlier audit","prompt":"Here are my transformation job logs with row IDs, dataset groups, dates, and duration_seconds values — please compute the numeric distribution and IQR outlier flags for duration_seconds so I can see which jobs took unusually long."},{"title":"Data team throughput QA report","prompt":"Our data team runs nightly transformations and I need a quick QA report — analyze these 80 throughput records and flag any processed_rows outliers using IQR, grouped by dataset_group."}],"resultDescription":"Returns two independent analytical reports per call: (1) a numeric distribution summary (e.g. min, max, mean, quartiles, std dev) and (2) IQR-based outlier flags indicating which rows fall outside the interquartile fence — all computed locally from the supplied rows for either processed_rows or duration_seconds.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors","Invalid date format (non-YYYY-MM-DD) fails schema validation","All-null values in the selected numeric field may yield degenerate distribution results","Field enum value not in ['processed_rows','duration_seconds'] causes rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of ETL or data transformation throughput records — specifically numeric distribution summaries and IQR-based outlier detection — without any external lookups, predictions, or live data. Ideal for data engineers doing batch QA on pipeline performance metrics (up to 200 rows) at minimal cost ($0.01 USDC for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:48.828Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-numeric-distribution-iqr-outlier-flags-eee37328"}