{"uid":"cap_JdxX9PpjX9IK9IxI3QPCf","slug":"alert-triage-adjacent-row-changes-iqr-outlier-flags-318cb726","name":"Alert Triage — Adjacent Row Changes + IQR Outlier Flags","description":"Alert triage — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags for supplied alert triage records (alert_count, confirmed_events). 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-security-18-157?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","alert_count","confirmed_events"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"alert_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"control_group":{"type":"string","default":"","maxLength":80},"confirmed_events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","alert_count":10,"control_group":"group-a","confirmed_events":1},{"date":"2026-10-02","row_id":"row-2","alert_count":20,"control_group":"group-b","confirmed_events":2},{"date":"2026-10-03","row_id":"row-3","alert_count":15,"control_group":"group-a","confirmed_events":3},{"date":"2026-10-04","row_id":"row-4","alert_count":30,"control_group":"group-b","confirmed_events":4}],"maxItems":200,"minItems":1},"field":{"enum":["alert_count","confirmed_events"],"type":"string","default":"alert_count"}}},"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_UCRttrm5Jn-_C1tSu-io5","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 adjacent-row delta changes and IQR-based outlier flags for alert_count or confirmed_events columns in supplied alert triage time-series data.","exampleAgentPrompt":"Analyze my alert triage data for adjacent row changes and IQR outlier flags — I have 50 daily rows with alert_count and confirmed_events values, grouped into control groups A and B. Run both reports on the alert_count field.","exampleUseCases":[{"title":"Security alert spike detection","prompt":"I have 90 days of daily alert_count records from my SOC grouped into two control groups — can you flag which days had statistically unusual alert counts using IQR outlier detection and also show me the day-over-day changes?"},{"title":"Confirmed events anomaly review","prompt":"Run an IQR outlier analysis and adjacent row change report on my confirmed_events column — I'll supply 120 rows of alert triage data with dates and control groups, and I want to know which rows are anomalies."},{"title":"Weekly alert triage QA check","prompt":"I'm reviewing 30 rows of weekly alert triage records with alert_count values across two control groups — flag any IQR outliers and show me the consecutive row deltas so I can spot unusual weeks before my Monday report."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) adjacent row change deltas showing how alert_count or confirmed_events shifted between consecutive rows, and (2) IQR-based outlier flags marking which rows fall outside the interquartile range. Covers up to 200 rows per call using local statistical engines with no external data lookups.","failureModes":["More than 200 rows submitted — request is rejected; must batch into multiple calls","Missing required fields (row_id, date, alert_count, confirmed_events, control_group) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in numeric fields may reduce outlier detection accuracy","Insufficient row count for meaningful IQR computation (very small datasets may yield trivial results)"],"whenToPreferThis":"Choose this endpoint when you need lightweight, deterministic statistical analysis (adjacent-row delta changes + IQR outlier flagging) on alert triage data without requiring external lookups, ML inference, or live data connections. Ideal for SOC analysts, automated monitoring pipelines, or data quality checks where the data is already collected and needs fast, reproducible anomaly flagging on up to 200 rows for a flat $0.01 USDC fee covering both report types.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:52:39.611Z","isFirstParty":false,"canonicalSlug":"alert-triage-adjacent-row-changes-iqr-outlier-flags-318cb726"}