{"uid":"cap_ji1Q3Jzv0ECb-4S2MD012","slug":"carbon-cashmere-hurst-exponent-api-sol-0620952d","name":"Carbon & Cashmere Hurst Exponent API – SOL","description":"Professional crypto market intelligence. Real-time prices, signals, and market scoring.","url":"https://api.carbon-cashmere.de/v1/hurst/SOL","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","hurst_7d":0.48,"hurst_30d":0.55,"hurst_full":0.52,"interpretation_7d":"random_walk","interpretation_30d":"trending","interpretation_full":"random_walk"}},"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_-ewDo0H91q8JPCJ912MDz","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":"Returns Hurst exponent values and trend/random-walk interpretations for Solana (SOL) across multiple time windows (7d, 30d, full history).","exampleAgentPrompt":"What's the Hurst exponent for SOL right now — is it trending or acting like a random walk over the last 7 and 30 days?","exampleUseCases":[{"title":"SOL regime filter for strategy","prompt":"Before I deploy my mean-reversion bot on Solana, can you check whether SOL is actually in a mean-reverting or trending regime right now using the Hurst exponent across the 7-day and 30-day windows?"},{"title":"Comparing SOL trend persistence","prompt":"I want to understand if Solana's price has any long-term memory or if it's basically a coin flip — what does the Hurst analysis say across the short, medium, and full history timeframes?"},{"title":"SOL market structure research report","prompt":"Pull the Hurst exponent readings for SOL across all available time windows and give me a plain-English summary of what the current market structure looks like — trending, random walk, or mean-reverting?"}],"resultDescription":"A JSON object containing Hurst exponent values for SOL at three time horizons (7d, 30d, full history) along with plain-language interpretations ('trending', 'random_walk', 'mean_reverting') for each window, plus a disclaimer that this is informational research data and not investment advice.","failureModes":["Invalid or unsupported symbol in URL path — 404 or empty response","Insufficient price history for the requested coin — may return null or partial fields","Network timeout or upstream data feed outage — 5xx error","Malformed request path — 400 bad request"],"whenToPreferThis":"Use this endpoint when you need to characterize the statistical regime of SOL's price series — specifically whether it is trending (Hurst > 0.5), mean-reverting (Hurst < 0.5), or behaving as a random walk (Hurst ≈ 0.5). Prefer this over simple momentum or moving-average endpoints when you need a rigorous fractal / long-memory measure of market structure. Useful for strategy selection (trend-following vs. mean-reversion) or regime filtering.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T12:52:26.146Z","isFirstParty":false}