{"uid":"cap_pgUmgh8EUPmkLk_tZi3IN","slug":"validator-uptime-numeric-row-ordering-iqr-outlier-flags-3ef04dfd","name":"Validator Uptime — Numeric Row Ordering + IQR Outlier Flags","description":"Validator uptime — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags for supplied validator uptime records (online_minutes, observed_minutes). 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-finance-12-119?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","online_minutes","observed_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"online_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"observed_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","online_minutes":10,"instrument_group":"group-a","observed_minutes":1},{"date":"2026-10-02","row_id":"row-2","online_minutes":20,"instrument_group":"group-b","observed_minutes":2},{"date":"2026-10-03","row_id":"row-3","online_minutes":15,"instrument_group":"group-a","observed_minutes":3},{"date":"2026-10-04","row_id":"row-4","online_minutes":30,"instrument_group":"group-b","observed_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["online_minutes","observed_minutes"],"type":"string","default":"online_minutes"}}},"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_Mmjs44O961OqPJA2Olylh","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":"Ranks validator uptime records by online_minutes or observed_minutes and flags statistical outliers using the interquartile range (IQR) method, producing two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have 50 validator uptime records with online_minutes and observed_minutes — can you sort them numerically by online_minutes and flag any IQR outliers across my validator groups?","exampleUseCases":[{"title":"Flagging underperforming validators","prompt":"Here are my 80 validator uptime records for October — sort them by online_minutes and flag any that are statistical outliers using IQR so I can identify which validators are underperforming."},{"title":"Comparing observed vs online uptime","prompt":"I want to analyze these 120 validator records by observed_minutes — rank them in order and flag the outliers so I can see which validators have unusually high or low observed time compared to the group."},{"title":"Uptime quality audit by group","prompt":"Can you take these 150 validator uptime rows across groups A and B, order them by online_minutes, and give me two reports showing the rankings and any IQR-flagged anomalies for each group?"}],"resultDescription":"Two analytical reports covering: (1) numeric ordering of submitted validator uptime rows ranked by the selected field (online_minutes or observed_minutes), and (2) IQR-based outlier flags identifying which rows fall below Q1−1.5×IQR or above Q3+1.5×IQR thresholds. Results are computed locally against supplied data only — no external lookups are performed.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, online_minutes, observed_minutes, instrument_group) — schema validation failure","Invalid date format not matching YYYY-MM-DD pattern — rejected","Null values in both numeric fields may reduce IQR calculation accuracy","Field enum value not in [online_minutes, observed_minutes] — rejected"],"whenToPreferThis":"Choose this endpoint when you need statistical ranking and IQR-based outlier detection specifically for validator uptime records (online_minutes and observed_minutes) without making any live network calls or external lookups. It is cost-effective at $0.01 for two reports on up to 200 rows and is ideal for post-hoc analysis of collected validator performance data, audit workflows, or batch quality checks on historical uptime logs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:20.883Z","isFirstParty":false,"canonicalSlug":"validator-uptime-numeric-row-ordering-iqr-outlier-flags-3ef04dfd"}