{"uid":"cap_d2KgfT39hz7Aen6xPPjiN","slug":"batch-job-resources-iqr-outlier-flags-6f3d51fd","name":"Batch Job Resources IQR Outlier Flags","description":"Batch job resources - IQR outlier flags: IQR outlier flags for Batch job resources. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded iqr outlier flags report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-batch-job-resources-outliers?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","job","date","duration_seconds","peak_memory_mb"],"properties":{"job":{"type":"string","default":"","maxLength":80},"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"peak_memory_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"job":"group-a","date":"2026-10-01","row_id":"row-1","peak_memory_mb":1,"duration_seconds":10},{"job":"group-b","date":"2026-10-02","row_id":"row-2","peak_memory_mb":2,"duration_seconds":20},{"job":"group-a","date":"2026-10-03","row_id":"row-3","peak_memory_mb":3,"duration_seconds":15},{"job":"group-b","date":"2026-10-04","row_id":"row-4","peak_memory_mb":4,"duration_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["duration_seconds","peak_memory_mb"],"type":"string","default":"duration_seconds"}}},"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_O5hsMvz_7RpP4C3P0qrI-","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":"Detects IQR-based outliers in batch job resource metrics (duration and memory) across up to 200 supplied job records using local descriptive analytics.","exampleAgentPrompt":"Can you check these batch job records for outliers in duration_seconds using IQR analysis? I have 10 jobs: group-a ran on 2026-10-01 for 10s with 512MB, group-b ran on 2026-10-02 for 200s with 1024MB, group-a ran on 2026-10-03 for 15s with 600MB — flag whichever ones are statistical outliers.","exampleUseCases":[{"title":"Detect long-running job anomalies","prompt":"I have a list of 50 batch job runs with their dates, durations, and memory usage — can you flag which ones have outlier duration_seconds based on IQR so I know which jobs are taking unusually long?"},{"title":"Memory spike detection in pipeline","prompt":"Here are 80 batch job records from our data pipeline — please run IQR outlier detection on the peak_memory_mb field and tell me which jobs consumed abnormally high memory."},{"title":"Daily job health check for ops team","prompt":"Can you analyze today's batch job resource logs (I'll give you up to 150 rows with row_id, job name, date, duration, and memory) and produce an IQR outlier report on duration_seconds so we can triage slow runs?"}],"resultDescription":"A bounded IQR outlier flags report identifying which submitted job records are statistical outliers for the selected field (duration_seconds or peak_memory_mb), based on interquartile range analysis — no enrichment or forecasting, purely local descriptive analytics over the supplied data.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the maxItems limit","Missing required fields (row_id, job, date, duration_seconds, peak_memory_mb) causes record rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Null numeric values may reduce statistical reliability of IQR calculation","Payment failure via x402 protocol blocks processing"],"whenToPreferThis":"Choose this endpoint when you need fast, local IQR-based outlier detection on batch job resource metrics (duration or memory) without requiring external enrichment or forecasting. Ideal for ops teams doing quick anomaly triage on up to 200 job records at $0.01 per report. Prefer over general-purpose analytics when you specifically need interquartile range flagging on typed job resource records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:11:47.799Z","isFirstParty":false,"canonicalSlug":"batch-job-resources-iqr-outlier-flags-6f3d51fd"}