{"uid":"cap_FmwcZDPnz7I5FCzNCX2SA","slug":"transformation-throughput-analytics-category-frequencies-iqr-outlier-59f10994","name":"Transformation Throughput Analytics — Category Frequencies + IQR Outlier Flags","description":"Transformation throughput — Category frequencies + IQR outlier flags: Category frequencies + 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-13-107?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_oFQjPuTOYxUC_mrz0KfCt","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 to compute category frequencies by dataset_group and flag IQR-based outliers for processed_rows or duration_seconds fields.","exampleAgentPrompt":"Analyze these transformation throughput records for my ETL jobs — compute category frequencies by dataset_group and flag any IQR outliers in the processed_rows field. I have up to 50 rows with row_id, date, dataset_group, processed_rows, and duration_seconds.","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have 80 transformation job records with row_id, date, dataset_group, processed_rows, and duration_seconds. Can you flag any IQR outliers in duration_seconds and give me the frequency breakdown by dataset_group?"},{"title":"Data quality audit by group","prompt":"Here are my 120 transformation throughput records from last month — compute how often each dataset_group appears and flag any processed_rows values that look like outliers based on IQR."},{"title":"Throughput distribution summary","prompt":"I want to understand the distribution of my nightly ETL jobs. Please analyze these 40 records and give me category frequencies for dataset_group plus IQR outlier flags for processed_rows."}],"resultDescription":"Returns two analytical reports: (1) category frequency counts per dataset_group showing how often each group appears in the supplied records, and (2) IQR-based outlier flags for the specified numeric field (processed_rows or duration_seconds), identifying rows whose values fall outside the interquartile range bounds.","failureModes":["Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes validation error","Exceeding 200 row limit returns an error or truncation","Invalid date format (not YYYY-MM-DD) causes schema rejection","All-null values in the target numeric field may produce empty outlier report","Non-numeric values in processed_rows or duration_seconds fail schema validation"],"whenToPreferThis":"Choose this endpoint when you need both category frequency analysis and IQR outlier detection on transformation throughput records in a single call. It is ideal for ETL pipeline monitoring, data quality audits, and batch statistical summaries of up to 200 rows without requiring any external data lookup or live prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:52.693Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-category-frequencies-iqr-outlier-59f10994"}