{"uid":"cap_ukjG-I2cFLG_zaowTGwBE","slug":"training-compliance-numeric-distribution-iqr-outlier-flags-00a29adf","name":"Training Compliance Numeric Distribution & IQR Outlier Flags","description":"Training compliance — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags for supplied training compliance records (completed_courses, assigned_courses). 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-operations-10-080?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","completed_courses","assigned_courses"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"assigned_courses":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_courses":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","assigned_courses":1,"completed_courses":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","assigned_courses":2,"completed_courses":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","assigned_courses":3,"completed_courses":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","assigned_courses":4,"completed_courses":30}],"maxItems":200,"minItems":1},"field":{"enum":["completed_courses","assigned_courses"],"type":"string","default":"completed_courses"}}},"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_MEV1sJ2CJt-T34mEfVeN8","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 numeric distribution statistics and flags IQR-based outliers for training compliance records (completed_courses, assigned_courses) across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Analyze this batch of training compliance records for our teams — I want to see the numeric distribution and any IQR outlier flags for the completed_courses field. Here are up to 200 rows with row_id, team_group, date, completed_courses, and assigned_courses.","exampleUseCases":[{"title":"HR team outlier audit","prompt":"I have 150 training compliance records from our HR department with completed_courses and assigned_courses values by team group and date. Can you run the numeric distribution and flag any IQR outliers for the completed_courses field so I can spot which teams are way off the norm?"},{"title":"Assigned courses spread analysis","prompt":"Here are our Q3 training records across all regional groups — can you compute the numeric distribution stats and IQR outlier flags specifically for the assigned_courses field across these 80 rows?"},{"title":"Monthly compliance anomaly detection","prompt":"We have monthly training data for October with row IDs, team groups, dates, and course completion counts. Please run the distribution and outlier report on completed_courses so I can flag anomalous months before the board review."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, quartiles) and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range, for the selected field (completed_courses or assigned_courses) across the supplied training compliance rows.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, team_group, date, completed_courses, assigned_courses) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value — only 'completed_courses' or 'assigned_courses' accepted","Payment of 0.01 USDC not provided or rejected"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of training compliance numeric fields — specifically distribution summaries and IQR outlier detection — on batches up to 200 rows. Ideal for HR or L&D analytics pipelines that need no external data lookup, live prediction, or professional assessment, just clean statistical flagging of anomalous training records at very low cost ($0.01 USDC for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T12:43:39.997Z","isFirstParty":false,"canonicalSlug":"training-compliance-numeric-distribution-iqr-outlier-flags-00a29adf"}