

AI-powered token security analysis on Solana
This score is not financial advice.
Low-risk tokens can still lose value, and high-risk tokens may still perform well.
Protect your investments with advanced AI-driven rug pull detection. Our tool analyzes smart contracts, holder distribution, liquidity, and trading patterns to identify potential scams before you invest.
Get a comprehensive risk score powered by machine learning that combines all security factors into one clear metric.
Measure community sentiment and influencer activity to gauge token hype and momentum.
Analyze top holder concentration, insider wallets, and suspicious clustering patterns.
Identify bundled transactions, snipers, and farming activity through sub-wallets.
Track the developer's past projects, migration rates, and sell patterns.
Check LP lock status, liquidity depth, and potential drain risks.
Auto-scans tokens on OKX, DexTools, GeckoTerminal & DexScreener. Rug score, holder analysis, and KOL tracking — right on the page.
A rug pull is a cryptocurrency scam where developers create a token, attract investors, and then suddenly withdraw all liquidity or dump their holdings — leaving investors with worthless tokens. Warning signs include unlocked liquidity, high creator wallet concentration, mint or freeze authority enabled, suspicious holder clustering across connected wallets, low vibe score indicating fake community engagement, and abnormal bot or sniper activity at launch.
Token farming (also called slow rugging) is a more subtle scam where developers gradually dump their holdings through sub-wallets or bot wallets instead of pulling all liquidity at once. They distribute tokens across many wallets to disguise ownership, then slowly sell over time — causing a steady price decline while appearing legitimate. xAxios AI detects this by analyzing wallet clustering, insider patterns, and suspicious distribution activity across connected wallets.
xAxios AI uses advanced machine learning algorithms to analyze multiple on-chain data points including liquidity lock status, holder distribution, smart contract permissions (mint, freeze, blacklist), trading patterns, bot activity, wallet clustering, developer history, and transaction anomalies. It specifically tracks sub-wallet networks and gradual sell patterns to catch farming activity. All these factors are combined into a comprehensive risk score.
The risk score ranges from 0 to 100, where a lower score indicates lower risk. It factors in liquidity safety, holder concentration, contract permissions, trading patterns, and developer track record. However, no score guarantees safety — always do your own research and never invest more than you can afford to lose.
Yes, the basic rug check analysis is completely free. You can analyze any token's security score, liquidity status, and holder distribution at no cost. Premium features like advanced bot detection, insider analysis, and smart money tracking are available with a subscription.
xAxios AI currently supports Solana as the primary blockchain, with analysis capabilities for tokens on BSC (BNB Chain), Ethereum, and Base. We continuously expand our multi-chain coverage to provide the most comprehensive token security analysis available.
Our holder analysis examines the distribution of token ownership across all wallets. We identify the top holders, detect wallet clustering (multiple wallets controlled by the same entity), track insider buying patterns, monitor smart money movements, and flag suspicious accumulation or distribution activity.
A high risk score indicates potential red flags. Review the individual risk factors — check if liquidity is locked, whether the creator holds a large percentage, if mint authority is enabled, and if there's suspicious bot activity. Consider avoiding tokens with multiple high-risk indicators, and never rely solely on any single tool for investment decisions.
Token data and risk scores are updated in real-time. When you analyze a token, you receive live data including current holder counts, liquidity status, and recent trading activity. The analysis refreshes automatically every few seconds to ensure you always have the most current information.