{"uid":"cap_vl2IIixR8yFNAqjILefcK","slug":"transformation-throughput-duplicate-key-report-iqr-outlier-flags-29c637b0","name":"Transformation Throughput — Duplicate Key Report + IQR Outlier Flags","description":"Transformation throughput — Duplicate key report + IQR outlier flags: Duplicate key report + 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-13-065?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_ERroZ3DZthRs6fLgGu3th","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 supplied transformation throughput records to produce a duplicate key report and IQR-based outlier flags for processed_rows or duration_seconds fields, across up to 200 rows.","exampleAgentPrompt":"Can you check my ETL throughput data for duplicate row IDs and flag any IQR outliers in processed_rows? I have records for group-a and group-b from 2026-10-01 to 2026-10-04, with row IDs row-1 through row-4, processed_rows of 10, 20, 15, and 30, and duration_seconds of 1, 2, 3, and 4.","exampleUseCases":[{"title":"Pipeline throughput anomaly detection","prompt":"I have 50 daily ETL job records with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you find any duplicate row IDs and flag which records have statistically unusual processed_rows values using IQR outlier detection?"},{"title":"Duration outlier audit for slow jobs","prompt":"Here are 120 transformation throughput records from our data team — please run a duplicate key check and then flag any duration_seconds values that are IQR outliers so I know which jobs took abnormally long."},{"title":"Data quality check before pipeline reporting","prompt":"Before I generate our monthly pipeline report, can you audit these 80 throughput records for duplicate keys and IQR outliers in the processed_rows field? I want to catch any bad data before it skews our metrics."}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) a duplicate key report identifying any row_id values that appear more than once, and (2) an IQR outlier report flagging records where the selected numeric field (processed_rows or duration_seconds) falls outside the interquartile range bounds. No external data sources or live predictions are used.","failureModes":["Empty or missing rows array returns validation error","More than 200 rows submitted exceeds the per-call limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes item-level failure","Insufficient data points for IQR computation (e.g. fewer than 4 rows) may yield degenerate outlier results","Invalid field enum value other than processed_rows or duration_seconds returns error"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and IQR-based outlier flagging on transformation throughput data (processed_rows, duration_seconds) in a single call. It is purpose-built for ETL/pipeline data quality auditing without requiring external lookups or live data connections, and covers up to 200 rows per call at a fixed low cost. Prefer this over general-purpose data tools when you want co-located duplicate and outlier analysis on pipeline metrics with a predictable schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:41.105Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-duplicate-key-report-iqr-outlier-flags-29c637b0"}