{"uid":"cap_qCy90DG08PJ3O19hp47b6","slug":"alert-triage-data-cleaner-string-normalisation-missing-value-fill-a53685f6","name":"Alert Triage Data Cleaner — String Normalisation & Missing-Value Fill","description":"Alert triage — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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-18-037?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_RoMlIGiHb9RbCoPyND6ld","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":"Cleans and normalises alert triage records by standardising strings and filling missing values for alert_count and confirmed_events fields using zero, mean, or median imputation.","exampleAgentPrompt":"Clean my alert triage data — I have up to 50 rows with alert_count and confirmed_events fields, some nulls in alert_count. Fill the missing values using median imputation and normalise the strings.","exampleUseCases":[{"title":"SOC analyst data prep pipeline","prompt":"I have 120 alert triage records from last week with some null alert_count values — can you fill those missing values using median and normalise all the strings so the data is consistent before I run my analysis?"},{"title":"Zero-fill missing confirmed events","prompt":"My security dashboard export has confirmed_events with several missing entries. Fill them all with zero and normalise the control_group strings — here are my 80 rows."},{"title":"Mean imputation for alert count audit","prompt":"I need to audit this set of 40 alert triage rows but alert_count has gaps. Can you use mean imputation to fill the nulls and clean up the string fields so I can proceed?"}],"resultDescription":"Returns up to 200 cleaned alert triage rows with normalised string fields and explicitly filled missing values for alert_count and/or confirmed_events, processed using the chosen imputation method (zero, mean, or median). Two independent reports are included per call.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format (not YYYY-MM-DD) — row fails schema validation","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Missing required fields (row_id, date, control_group) — validation error","Invalid method enum value — schema validation failure","Invalid field enum value — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have alert triage records (with alert_count and confirmed_events) that need offline string normalisation and missing-value imputation with no external lookups or predictions. It is ideal for pre-processing security monitoring data before analysis, and is cost-effective at $0.01 for up to 200 rows with 2 reports included. Best suited for batch cleaning of structured alert data where median, mean, or zero-fill is sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:54:34.503Z","isFirstParty":false,"canonicalSlug":"alert-triage-data-cleaner-string-normalisation-missing-value-fill-a53685f6"}