{"uid":"cap_0-NiXEddN97FhHOGd4SRi","slug":"record-routing-daily-sum-series-iqr-outlier-flags-591fbb9b","name":"Record Routing Daily Sum Series + IQR Outlier Flags","description":"Record routing — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags for supplied record routing records (accepted_records, rejected_records). 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-19-140?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"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},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"}}},"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_52CwzNphm4q9TGWAz5d7P","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 sum time series and flags statistical outliers using IQR method for accepted_records and rejected_records fields in record routing data, covering up to 200 rows across two reports.","exampleAgentPrompt":"Take my record routing data for October 2026 — I have groups 'group-a' and 'group-b' with daily accepted_records and rejected_records counts — and give me the daily sum series plus IQR outlier flags for accepted_records across up to 200 rows.","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have daily counts of accepted and rejected records from my ETL pipeline across two dataset groups for the past 6 months — can you compute the daily sum series and flag any days where accepted_records look like statistical outliers using IQR?"},{"title":"Data quality review for rejected records","prompt":"Here's my record routing log for Q3 with group-a and group-b entries — run the daily sum and IQR outlier analysis on rejected_records so I can see which days had unusually high rejection rates."},{"title":"Monitoring record ingestion health","prompt":"I want to check if any days in my record ingestion history are anomalous — I'll send you up to 150 rows with date, row_id, dataset_group, accepted_records, and rejected_records, and I need daily totals plus IQR-based outlier flags for accepted_records."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the selected field (accepted_records or rejected_records) by date, and (2) IQR-based outlier flags identifying which daily values fall outside the interquartile range bounds, covering up to 200 input rows.","failureModes":["Missing required fields (row_id, date, dataset_group, accepted_records, rejected_records) cause validation errors","Dates not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows returns an error or truncation","Null values in numeric fields may affect IQR calculations","Invalid field enum value (not accepted_records or rejected_records) causes rejection","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregated time series AND statistical outlier detection (IQR-based) on record routing metrics in a single low-cost call. Ideal for data engineers and analysts monitoring ETL pipeline health, data quality, or record ingestion anomalies without needing external data lookups or predictions — purely local analytical computation on your supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:19.562Z","isFirstParty":false,"canonicalSlug":"record-routing-daily-sum-series-iqr-outlier-flags-591fbb9b"}