{"uid":"cap__87ou7s8BMAlQaPzho4bR","slug":"internal-support-duplicate-key-report-iqr-outlier-flags-b8e29c5f","name":"Internal Support Duplicate Key Report + IQR Outlier Flags","description":"Internal support — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied internal support records (responded_requests, received_requests). 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-22-065?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","responded_requests","received_requests"],"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},"received_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"responded_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","received_requests":1,"responded_requests":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","received_requests":2,"responded_requests":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","received_requests":3,"responded_requests":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","received_requests":4,"responded_requests":30}],"maxItems":200,"minItems":1},"field":{"enum":["responded_requests","received_requests"],"type":"string","default":"responded_requests"}}},"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_PlxMQDnsYC2zkUJSO7Ngv","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":"Analyzes up to 200 internal support records to produce a duplicate key report and IQR-based outlier flags for responded_requests or received_requests fields.","exampleAgentPrompt":"Check my internal support records for duplicate row IDs and flag any IQR outliers in the responded_requests field — here are up to 200 rows with row_id, team_group, date, received_requests, and responded_requests.","exampleUseCases":[{"title":"Duplicate key audit for support logs","prompt":"I have a CSV of internal support data with row IDs, team groups, dates, and request counts — can you run a duplicate key report on it and tell me which row_ids appear more than once? There are about 150 rows."},{"title":"Outlier flagging for received requests volume","prompt":"Can you analyze my team's support data and flag any rows where received_requests looks like a statistical outlier using IQR? I want to catch data entry errors before our monthly review."},{"title":"Data quality check before reporting","prompt":"Before I send our support metrics to leadership, can you scan these 200 rows of support data for duplicate keys and any IQR outliers in the responded_requests column so I can clean up any bad records?"}],"resultDescription":"Returns two independent reports: (1) a duplicate key report identifying any row_id values that appear more than once in the supplied dataset, and (2) an IQR outlier report flagging rows where the selected numeric field (responded_requests or received_requests) falls outside the interquartile range boundaries. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, team_group, responded_requests, received_requests) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null or non-numeric values in the selected field may affect IQR computation","Empty rows array returns an error","Field enum value other than responded_requests or received_requests is rejected"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) batch data quality check on internal support records — specifically to catch duplicate row keys and statistical outliers via IQR — without requiring any external data sources, predictions, or live lookups. Best suited for datasets up to 200 rows where both a deduplication audit and outlier detection are needed in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:15.021Z","isFirstParty":false,"canonicalSlug":"internal-support-duplicate-key-report-iqr-outlier-flags-b8e29c5f"}