{"uid":"cap_nQ0cNCgSdavaOPfx5lX1t","slug":"transformation-throughput-analytics-daily-sum-series-iqr-outlier-flags-c2e5b8b7","name":"Transformation Throughput Analytics — Daily Sum Series + IQR Outlier Flags","description":"Transformation throughput — Daily sum series + IQR outlier flags: Daily sum series + 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-13-140?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_xwyVE5nPva3oR_efB-6aq","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 daily aggregated sums and IQR-based outlier flags for transformation throughput records (processed_rows, duration_seconds) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you analyze my ETL pipeline data for the past week — I have about 50 rows with dates, dataset groups, processed_rows, and duration_seconds — and give me a daily sum series plus flag any outliers using IQR for the processed_rows field?","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have 120 rows of daily transformation logs with processed_rows and duration_seconds across two dataset groups. Can you compute the daily sum totals for processed_rows and flag any IQR outliers so I can see which days had abnormal throughput?"},{"title":"Pipeline duration monitoring","prompt":"Here are my batch job records for October — about 80 rows with dates, dataset groups, and duration_seconds. Can you roll them up into a daily sum series and flag any IQR outliers in duration_seconds so I can spot the slowest days?"},{"title":"Data team throughput review","prompt":"I need to review our data transformation throughput for last quarter. I have 150 rows tagged by dataset_group with dates and processed_rows counts — can you give me the daily aggregated totals and highlight any days that look like statistical outliers using IQR?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the chosen field (processed_rows or duration_seconds) across all records per date, and (2) IQR-based outlier flags identifying which dates or rows fall outside the interquartile range bounds — all computed locally without external lookups.","failureModes":["Input rows exceed 200-item limit — request rejected","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Date strings not matching YYYY-MM-DD pattern — schema rejection","All values null for chosen field — unable to compute IQR","Too few data points to compute meaningful IQR (fewer than 4 rows)"],"whenToPreferThis":"Choose this endpoint when you have raw transformation throughput records (processed_rows or duration_seconds) and need both a daily aggregated time series and statistical outlier detection in a single call, without requiring any external data sources or live lookups. Best suited for ETL monitoring, data engineering analytics, and pipeline QA workflows with up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:40.152Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-daily-sum-series-iqr-outlier-flags-c2e5b8b7"}