Every check has clear logic and transparent thresholds. Here is exactly what we look for, how we detect it, and what triggers each risk level.
Checks whether you can actually sell a token after buying it. A honeypot lets you buy but blocks or heavily penalizes sells, trapping your funds.
Detects active rug-pull behavior happening right now: not just theoretical risk, but signs the developer is already pulling liquidity or suppressing sells.
Identifies coordinated wallet bundling: multiple wallets buying in sync, often controlled by the same person, used to fake demand and then dump simultaneously.
Flags wallets that bought within the very first transactions of a token launch. These are often insiders or bots with advance knowledge of the contract address.
Detects wallets funded by the token creator or early team members. Insiders can accumulate large positions cheaply and dump on retail buyers.
Spots a high volume of very small buy transactions: a common tactic where bots place tiny buys to inflate the transaction count and make a token look more active than it really is.
Measures how much of the reported trading volume is artificial wash trading: the same entity buying and selling to themselves to inflate volume numbers.
Shows how many current holders received tokens for free via airdrop. A high airdrop count means many holders have zero cost basis and are likely to sell at any price.
Counts holders who received tokens via direct wallet-to-wallet transfer rather than buying on a DEX. Large transfer counts can indicate pre-distribution to insiders.
Shows what percentage of the total supply is held by the top 10 non-LP wallets. High concentration means a few wallets can crash the price by selling.
Breaks down holders into size tiers (whales, sharks, dolphins, etc.) to show whether the token ownership is distributed or concentrated among a few large wallets.
Shows what percentage of the token supply the developer wallet still holds. A large dev holding creates sell pressure risk: the dev can dump at any time.
Searches for tokens with similar names across different blockchains. Copycats ride the hype of an existing token to lure unsuspecting buyers.
Tracks the token creator's wallet to see if they are buying more, selling off, or transferring tokens to other wallets. Dev selling early is a major warning sign.
Scans the creator's wallet address against known databases of malicious actors, including cybercrime, money laundering, phishing, and sanctioned addresses.
Shows how many other tokens the same deployer wallet has launched. A high count (outside of launchpads) often indicates a serial scammer who launches, rugs, and repeats.
Examines the smart contract for dangerous functions that give the developer excessive control: like minting new tokens, freezing wallets, or modifying transfer fees after launch.
Scans the token's associated website for known phishing patterns. Scam tokens often link to fake sites designed to steal your wallet credentials.
Checks if the project's Twitter/X handle has been previously used for other crypto projects. Recycled handles often indicate a scammer rebranding after a previous rug.
Shows the total USD value locked in the token's liquidity pools. Low liquidity means high slippage and makes it easy for large holders to crash the price.
Shows what percentage of the liquidity pool tokens are locked. Locked LP means the developer can't pull the liquidity and run.
Shows the percentage of LP tokens that have been permanently burned. Burning LP is even stronger than locking: it's irreversible and guarantees the liquidity can never be removed.
Displays the buy and sell tax percentages. High taxes eat into your trades: and some scam tokens set extreme sell taxes to effectively trap your funds.
Shows the current token price and performance across various timeframes.
Checks if the project has paid for a verified profile on DexScreener. Paid profiles suggest the team is investing in visibility, though it doesn't guarantee legitimacy.
Checks if the token has paid advertisements running on DexScreener.
Checks if the project has paid to feature their social media links on DexScreener.
Checks if the token has been boosted on DexScreener, and shows the amount spent. Boosting increases visibility on the platform.
A single 0-100 score that synthesizes every analysis check into one easy-to-read number, plus a plain-language explanation of exactly why the token scored the way it did.
