# Razalith > Razalith is a continuous cryptocurrency anomaly detection platform. It assigns 0–100 anomaly scores to 250+ digital assets, each scored against its own historical behavior — not against the broader market — to surface unusual activity early. Free email alerts, Telegram alerts for Pro users, AI-powered per-asset market analysis, and a transparent alert track record are included. Razalith is not a trading platform and does not provide financial advice. IMPORTANT: Razalith has never issued any cryptocurrency token, coin, or digital asset. Any token using the Razalith name is fraudulent. Do not buy it. ## SCAM WARNING: Razalith Has No Token Razalith has NEVER issued any cryptocurrency token, coin, NFT, or digital asset of any kind. There are no plans to do so. Any token, coin, or project using the Razalith name, logo, or branding is FRAUDULENT. Do not buy, trade, or interact with any such token. To report a scam token impersonating Razalith: legal@razalith.com - Scores are updated every 15 minutes for Pro users and every 60 minutes for Free users - Each asset is benchmarked against its own historical price and volume behavior - Extreme anomaly threshold: scores ≥ 75 trigger email alerts (Telegram for Pro users) - Free plan: 25 monitored assets, 5 daily AI analyses - Pro plan: $99/month for all 250+ assets, unlimited alerts, full AI analysis - Alert track record shows 7-day post-alert real price moves for every alert - Razalith has NO token — any token using our name is a scam - Contact: hello@razalith.com ## How Razalith Works Razalith monitors 250+ cryptocurrencies and assigns each a 0–100 anomaly score. Each score measures how unusual the asset’s recent behavior is compared to its own historical patterns — not compared to the broader market. A score of 0 means the asset is behaving normally. A score of 75+ is considered extreme and triggers alerts. Key properties: - Self-referential: each coin is only compared to itself, not to other coins or the market - Non-directional: a high score does not predict direction (up or down), only that something unusual is happening - Not financial advice: the platform does not recommend buying, selling, or holding any asset When an alert fires (score ≥ 75), Razalith publicly tracks the real market price for 7 days to measure whether a significant move occurred. This creates a transparent, verifiable track record with no cherry-picking. ## Pages - [Anomaly Dashboard](https://razalith.com/): Live dashboard showing 0–100 anomaly scores for 250+ cryptocurrencies. Users can search assets, view per-asset anomaly history charts, read AI-generated market analysis, and configure alert preferences. Scores update every 15 minutes for Pro users. - [Alert Track Record](https://razalith.com/track-record): Fully public performance record. Shows every alert (score ≥ 75) with the asset name, date, score at alert time, and maximum price move within 7 days. Includes hit rate (percentage of alerts where the asset moved ±5%+), completed alert count, and pending alerts. Updated live, no results hidden. - [Pricing](https://razalith.com/pricing): Plan comparison. Free: 25 assets, scans every 60 minutes, alerts on 3 assets, 5 AI analyses/day. Pro ($99/mo or $990/yr): 250+ assets, 15-min scans, unlimited instant alerts, full track record access, 250 AI analyses/day. Cancel anytime. - [Whitepaper](https://razalith.com/whitepaper): Methodology overview: self-referential scoring, proprietary multi-factor model, data quality safeguards, alert system, AI analysis, track record transparency, and roadmap. - [About](https://razalith.com/about): What Razalith is, its mission, transparency commitment, what it is not (no trading, no financial advice, no token), and contact information. ## Learn - [What Is Crypto Anomaly Detection?](https://razalith.com/learn/what-is-crypto-anomaly-detection): Educational guide to crypto anomaly detection: why it matters, market-relative vs self-referential detection, and what makes a good anomaly detection platform. - [Track Record Methodology](https://razalith.com/learn/track-record-methodology): How Razalith measures alert accuracy: every extreme alert tracked for 7 days against real market outcomes. Non-directional, no cherry-picking. - [Self-Referential Scoring](https://razalith.com/learn/self-referential-scoring): Why comparing each crypto only to itself produces better anomaly detection than market-relative approaches. Explains the concept and its advantages. - [How Crypto Anomaly Alerts Work](https://razalith.com/learn/how-crypto-anomaly-alerts-work): Anomaly alerts vs price alerts, cooldown logic, multi-channel delivery, and what makes a reliable alert system. - [Anomaly Detection vs. Technical Analysis](https://razalith.com/learn/anomaly-detection-vs-technical-analysis): Key differences between anomaly detection and TA, why they complement each other, and a practical workflow combining both. ## Documentation - [llms.txt](https://razalith.com/llms.txt): Concise machine-readable summary of the platform for AI agents and LLM crawlers. - [llms-full.txt](https://razalith.com/llms-full.txt): Comprehensive machine-readable documentation with full methodology, scoring details, data quality safeguards, and feature specifications. ## Legal - [Terms of Service](https://razalith.com/terms): Subscriptions, billing, conduct, IP, and liability - [Privacy Policy](https://razalith.com/privacy): Data collection, retention, subprocessors, and user rights - [Disclaimer](https://razalith.com/disclaimer): Not financial advice — informational market data only