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Token Risk Check

Paste any contract address for an instant on-chain risk assessment -- honeypot detection, liquidity analysis, holder concentration, and contract permissions.

Paste any contract address — get an on-chain risk read in seconds.

Verixia reads the smart contract directly to surface honeypots, rug-pull patterns, LP-lock status, and holder concentration before you buy. No signup, no wallet connect, no market-data lag.

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Verify every contract before buying. Honeypot detection, LP lock analysis, and holder concentration reviews across Solana and EVM.
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What the checker detects
Example signals · run a scan to see live results
⚠️Sell TaxDETECTED
💧LP LockUNLOCKED
🔑Mint AuthorityACTIVE
OwnershipRENOUNCED
🐋Whale Wallet42%
📅Token Age3 DAYS
🚨Approval RiskHIGH
CooldownACTIVE
🔄Last Update48H AGO
📉Liquidity 24h-12%
🚫Transfer LockENCODED
Freeze AuthENABLED
📋ContractVERIFIED
💰LP Depth$48K
🔗Blacklist FnPRESENT
🔍
Honeypot Detection
Simulates sell transactions to detect transfer locks, fee traps, and whitelist-only exit conditions before you buy in. Reads the contract directly — not market data. Works across Solana SPL tokens and all major EVM chains.
💧
Liquidity & Holders
Reviews pool depth, LP lock status, and top wallet percentages. Surfaces unlocked pools and concentrated wallets before the price collapses.
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On-chain read — no API delays, no market data lag. Raw contract analysis returned in under 5 seconds.
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Token Risk Analysis -- Contract, Liquidity & Holders

🔗 TL;DR

A token's risk lives in three places: contract permissions (can the dev mint, freeze, or block sells?), liquidity structure (is the LP locked and deep enough to exit?), and holder distribution (can a handful of wallets dump the entire float?). The checker above reads all three directly on-chain in under five seconds.

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Signals checked15+
Cost (first check)Free

Fully diluted valuation (FDV) represents a theoretical market capitalization metric that estimates the total value of a token by multiplying its entire token supply—assuming all tokens have been minted and are freely circulating—by the current market price per token. This calculation provides an upper bound on what the market capitalization might be if every token were unlocked and traded at the prevailing price. However, interpreting FDV as a direct or immediate reflection of a token’s market value can sometimes be misleading. It often obscures deeper nuances around liquidity, scarcity, and the sustainability of token prices. A notably high FDV, especially when contrasted against the circulating supply or the scale of actual market activity, can sometimes signal potential overvaluation or hint at future dilution risks. That said, this interpretation hinges heavily on the specific tokenomics at play, including the token’s release schedule and the dynamics of demand and supply over time. FDV alone does not definitively indicate manipulation or guaranteed losses; it must be considered within a broader context to yield meaningful insights.

On-chain data plays a crucial role in deriving FDV, as it typically draws from the token’s smart contract information. The contract will specify either a maximum supply cap or an ongoing minting mechanism, which, when combined with external price feeds, allows for FDV computation. The contract’s design—in particular, whether minting and burning functionalities are immutable or upgradable—can significantly affect the reliability and meaning of FDV. For instance, contracts with active mint authority can sometimes increase the total supply, thereby inflating FDV without an immediate price adjustment. On the other hand, burning mechanisms that permanently remove tokens from circulation can reduce FDV over time. It is important to recognize that the circulating supply figure, which often forms the basis for market capitalization, can fluctuate due to vesting schedules, token lockups, or other constraints imposed by the token’s governance. FDV assumes a hypothetical scenario where all tokens, regardless of their current lock status or vesting timetable, are fully liquid, which may never materialize in practice.

Price data in FDV calculations is sourced externally, usually from decentralized exchanges or centralized order books, and occasionally through oracle-based feeds. Because price originates off-chain, FDV is a hybrid metric that bridges on-chain token data with off-chain market sentiment. This hybrid nature introduces additional complexity. Price volatility can cause FDV to swing widely even if the underlying tokenomics remain unchanged. Moreover, if liquidity pools are thin or if the token is lightly traded, the reported price may not reflect a true market consensus but rather momentary order book depth or trading anomalies. As such, FDV is not a static measure; it is subject to continuous revision based on market conditions and token supply changes.

Many market participants mistakenly conflate FDV with current market capitalization or realized market value. They may assume that a high FDV indicates the market has priced in not only the circulating supply but also all future token issuance. In practice, FDV neither controls the token’s price nor guarantees liquidity at that price. It is simply a mathematical extrapolation based on total supply. It does not account for demand elasticity, holder intentions, nor the utility or adoption of the token, which are the true drivers of market behavior. Understanding this distinction is crucial. FDV is essentially a forward-looking metric that helps frame valuation in terms of potential supply inflation and future market cap ceilings. It is more useful for comparative risk assessments and scenario modeling than for gauging immediate token health or price sustainability.

A key analytical question FDV raises is related to dilution risk: how much future token inflation could depress price if unlocked supply enters the market? Without considering FDV, investors might underestimate latent selling pressure from tokens controlled by insiders, early investors, or ecosystem participants subject to vesting or lockup agreements. FDV thus highlights the maximum market capitalization achievable if all tokens become liquid simultaneously, offering a structural boundary for valuation. This boundary is invaluable for investors trying to assess whether current price levels are sustainable or susceptible to downward pressure as more tokens are released. It also helps identify cases where a token’s price might be disproportionately high relative to the pool depth or trading volume, signaling potential vulnerabilities.

Nevertheless, the presence of a high FDV does not necessarily imply malicious intent or an imminent price collapse. Some tokens are designed with extensive vesting periods, gradual unlocking schedules, or utility-driven demand that can absorb future supply expansion without damaging price. In such cases, a high FDV might coexist with robust fundamentals and genuine user interest. Conversely, a low FDV does not guarantee safety if the circulating supply is heavily concentrated among a few holders or if liquidity pools are shallow. Therefore, FDV should be evaluated alongside other structural risk patterns—contract permissions that enable minting or transfer restrictions, liquidity pool lock status, holder distribution, and known manipulation tactics like honeypot mechanics or rug-pull vulnerabilities.

Ultimately, FDV is a structural lens that reveals the theoretical ceiling of token market capitalization, contingent on supply inflation scenarios and current pricing. It serves as an essential analytical tool for understanding the potential risks embedded in tokenomics but requires integration with on-chain contract analysis and market behavior studies to fully appreciate its implications. It can sometimes be a warning flag, but more often it is a starting point for deeper due diligence rather than a conclusive verdict on a token’s valuation or safety.

Pre-buy on-chain checklist

  • Mint authority renouncedConfirms supply is capped — no new tokens can be issued post-launch.
  • LP locked or burnedLiquidity cannot be removed in a single transaction. Lock duration and locker contract are both verifiable on-chain.
  • !Top 10 holders under 40%Lower concentration means coordinated dumps are mechanically harder. Above 40% is a structural caution.
  • !No active freeze authorityActive freeze means wallets can be paused at the contract level — no exit possible during a freeze.
  • ×No transfer restrictionsThe transfer function should accept any holder selling. Encoded sell blocks, whitelist exits, and hidden tax functions are honeypot signatures.

Frequently asked questions

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Solana + EVM Checks SPL tokens and EVM contracts across Ethereum, Base, Arbitrum, BNB Chain, Polygon, and Avalanche.
⚙ Methodology
Every risk verdict is generated from three on-chain reads run in parallel: (1) direct contract bytecode analysis for honeypot patterns, mint/freeze authority, and blacklist functions; (2) liquidity pool inspection for LP lock status, depth, and removable percentage; (3) holder distribution from token-account snapshots. No editorial opinion is layered on the output. Read the full methodology →