{"uid":"cap_APwRynJlet9-fiINydL69","slug":"carbon-cashmere-anomaly-detection-api-eth-e46cc43d","name":"Carbon & Cashmere Anomaly Detection API (ETH)","description":"Professional crypto market intelligence. Real-time prices, signals, and market scoring.","url":"https://api.carbon-cashmere.de/v1/anomaly/ETH","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"properties":{"type":"string"}}},"responseSchema":{"type":"json","example":{"_meta":{"disclaimer":"Informational research data only — not investment advice."},"symbol":"BTC","methods":{"stl":{"residual_z":2.1,"seasonal_strength":0.34},"zscore":{"volume_z":3.1,"funding_z":-1.2,"returns_z":2.8},"isoforest":{"score":-0.18,"is_outlier":true}},"severity":"elevated","top_drivers":[{"value":3.1,"feature":"volume_z","contribution":0.42}],"anomaly_flag":true,"anomaly_score":0.73}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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_A38ZMfpqTN8qz_5uM1yWr","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Detects statistical anomalies in Ethereum market data using STL decomposition, z-score analysis, and Isolation Forest ML ensemble, returning a severity rating and top anomaly drivers.","exampleAgentPrompt":"Check if Ethereum is showing any statistically anomalous behavior right now — I want the anomaly score, severity level, and what the top drivers are across volume, funding rate, and returns.","exampleUseCases":[{"title":"ETH unusual activity pre-trade check","prompt":"Before I put on a large ETH position, can you check whether Ethereum is currently flagging any anomalous behavior? I want to know the severity, the anomaly score, and which factors — volume, funding rate, or returns — are driving it most."},{"title":"Ethereum market conditions alert scan","prompt":"Run an anomaly scan on Ethereum's market data for me and let me know if anything looks statistically out of the ordinary right now. If there's a flag, tell me how severe it is and what's contributing the most to the signal."},{"title":"ETH outlier detection for research report","prompt":"I'm putting together a crypto market research note and need to know if Ethereum has been behaving like a statistical outlier lately. Pull the anomaly score, the isolation forest result, and break down which features — like funding rate or volume — are showing the biggest deviations."}],"resultDescription":"Returns a JSON object with an anomaly_flag (boolean), anomaly_score (0–1), severity label (e.g. 'elevated'), STL residual z-score and seasonal strength, z-scores for volume/funding/returns, an Isolation Forest outlier score and is_outlier flag, and a ranked list of top contributing features with their values and contribution weights. Includes a disclaimer noting data is for informational research only.","failureModes":["Invalid or unsupported symbol in URL path — 404 or empty response","Payment not processed — 402 Payment Required if x402 header is missing or underfunded","Rate limiting or service unavailability — 429 or 503 responses","Stale or missing underlying data causing null or incomplete z-score fields"],"whenToPreferThis":"Use this endpoint when you need a multi-method statistical anomaly assessment for ETH specifically — combining STL decomposition, z-scores across volume/funding/returns, and an Isolation Forest ML outlier score in one call. Prefer this over simple price APIs when you need a composite anomaly signal with severity classification and feature attribution, rather than raw price data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:47:22.466Z","isFirstParty":false}