{"uid":"cap_EqCmpOtQkbwGgFGuWHLDd","slug":"membership-activity-iqr-outlier-flags-e4d19428","name":"Membership Activity IQR Outlier Flags","description":"Membership activity - IQR outlier flags: IQR outlier flags for Membership activity. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded iqr outlier flags deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-membership-outliers?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","tier","date","members","renewals"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"tier":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"members":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"renewals":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","tier":"group-a","row_id":"row-1","members":10,"renewals":1},{"date":"2026-10-02","tier":"group-b","row_id":"row-2","members":20,"renewals":2},{"date":"2026-10-03","tier":"group-a","row_id":"row-3","members":15,"renewals":3},{"date":"2026-10-04","tier":"group-b","row_id":"row-4","members":30,"renewals":4}],"maxItems":200,"minItems":1},"field":{"enum":["members","renewals"],"type":"string","default":"members"}}},"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_LmOZfZ5s6L3WlFSK3iMNk","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 IQR-based statistical outlier flags on membership activity records (members or renewals fields) for up to 200 typed rows.","exampleAgentPrompt":"I have daily membership records across two tiers — can you run IQR outlier detection on the members field for these rows: row-1 2025-01-01 group-a 10 members 1 renewal, row-2 2025-01-02 group-b 200 members 2 renewals, row-3 2025-01-03 group-a 12 members 0 renewals?","exampleUseCases":[{"title":"Flagging anomalous renewal spikes","prompt":"I have 30 days of renewal data across our premium and basic tiers — can you flag any rows where the renewals count looks like a statistical outlier using the IQR method? Here are the records with row IDs, dates, tiers, member counts, and renewal counts."},{"title":"Membership data quality audit","prompt":"Before I load this month's membership activity into our dashboard, can you run IQR outlier detection on the members field to spot any data entry errors or weird values in these 50 records?"},{"title":"Tier-level anomaly detection for reporting","prompt":"I'm preparing a membership report and want to know if any specific dates had suspiciously high or low member counts — please flag IQR outliers in the members field across these group-a and group-b rows from Q3."}],"resultDescription":"Returns IQR-based outlier flags for each submitted row, indicating which records fall outside the interquartile range for the selected numeric field (members or renewals). Each row in the response is identified by its row_id with a flag indicating outlier status.","failureModes":["Fewer than 1 row submitted — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, tier, date, members, renewals) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field enum value (must be 'members' or 'renewals')","Payment not included or insufficient — endpoint requires $0.01 USDC via x402","All values are null for the selected field — IQR computation not possible"],"whenToPreferThis":"Choose this endpoint when you need fast, local IQR-based outlier detection specifically on membership activity data (member counts or renewal figures) without external enrichment or forecasting. It is ideal for data quality checks, anomaly flagging before reporting, or identifying unusual membership trends across tiers, handling up to 200 records per call at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:29.442Z","isFirstParty":false,"canonicalSlug":"membership-activity-iqr-outlier-flags-e4d19428"}