{"uid":"cap_PzABz8niOIz2NCVcOjANt","slug":"kihustle-z-score-json-outlier-detector-9af84e92","name":"KiHustle Z-Score JSON Outlier Detector","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/bot-bazaar/api/v1/json-outlier-detector-zscore","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string"}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__1MreTAf3pxUS1eIuLSOo","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Detects statistical outliers in text-encoded JSON data using Z-score analysis","exampleAgentPrompt":"Can you run a z-score outlier detection on this dataset: '[12, 13, 14, 200, 15, 13, 12]' and tell me which values are statistical anomalies?","exampleUseCases":[{"title":"Flag anomalous sales figures","prompt":"I have a list of daily sales numbers and I suspect a few entries are data entry errors — can you run z-score outlier detection on this text to flag which values look statistically abnormal: '100, 98, 102, 97, 850, 101, 99'?"},{"title":"Validate sensor readings for quality control","prompt":"Here are temperature readings from my IoT sensors as a text string: '22.1, 22.4, 21.9, 22.2, 87.5, 22.0, 21.8' — can you detect which ones are outliers using z-score analysis?"},{"title":"Audit financial transaction amounts","prompt":"I need to check this list of transaction amounts for unusual spikes before I submit my report: '500, 520, 480, 510, 4900, 495, 505' — can you identify which are statistical outliers using z-score?"}],"resultDescription":"Returns a JSON object indicating which data points were identified as outliers via Z-score analysis, along with a processing status and result field confirming the computation completed successfully.","failureModes":["Non-numeric or malformed text input may yield unhelpful results","Empty string input may cause processing errors","Very small datasets (fewer than 3 points) may produce unreliable Z-scores","Missing or null 'text' field returns error or unexpected result","Generic response schema means detailed outlier indices may not always be exposed"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.002 per call) statistical outlier detection step in an automated pipeline where data is passed as plain text and you want Z-score-based anomaly flagging without setting up your own statistics library or compute environment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:58:17.972Z","isFirstParty":false}