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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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Unlimited Token Risk Checks

Verify every contract before buying. Honeypot detection, LP lock analysis, and holder concentration reviews across Solana and EVM.
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15+Risk Signals
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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.
Results in Seconds
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.

Scan time< 5 sec
Signals checked15+
Cost (first check)Free

Fully diluted valuation (FDV) is a fundamental metric used to estimate the theoretical total market capitalization of a cryptocurrency token if every token in its maximum supply were minted and actively circulating in the market. While it can sometimes provide a broad, forward-looking picture of a token’s potential economic size, FDV is often misunderstood or misapplied, which can lead to misguided assessments of the token’s actual value and underlying risk. In particular, treating FDV as a guaranteed market cap or an immediate liquidity measure overlooks the nuanced realities of token issuance, distribution, and liquidity constraints, all of which play critical roles in the token’s economic footprint.

At its core, FDV is calculated by taking the total maximum supply of tokens — a figure typically hard-coded or stored as a state variable within the token’s smart contract — and multiplying it by the current token price, which is often sourced from decentralized exchange (DEX) liquidity pools or price oracles. This calculation might seem straightforward, but it carries implicit assumptions that can distort interpretation. For one, the maximum supply number itself can sometimes change in projects where minting authorities remain active, meaning the token supply is not fixed and could inflate further. In such cases, the FDV calculation is inherently dynamic and can expand unpredictably, which introduces an element of supply risk that FDV alone does not capture.

Moreover, the price input used to compute FDV is subject to market fluctuations, liquidity depth, and potential manipulation. Decentralized exchange liquidity pools, while transparent, can be thin relative to the token’s market cap or overall supply, leading to price volatility that may not reflect sustainable market value. A token’s spot price might be temporarily inflated or depressed due to low liquidity or wash trading, which in turn distorts the FDV figure derived from it. Thus, FDV can sometimes present an inflated or deflated valuation that only partially corresponds to the token’s true economic standing in active markets.

Critically, FDV does not account for the nuances of token distribution. Many tokens have significant portions of their total supply locked in vesting contracts, reserved for team allocations, treasury holdings, or liquidity provider incentives. These tokens are not immediately available for trading and therefore do not contribute to circulating supply or immediate liquidity. Because FDV assumes every token is issued and valued at the current price, it can vastly overstate the market’s capacity to absorb selling pressure or the scarcity of the token. This overstatement can obscure underlying vulnerabilities such as the risk of sudden dilution when locked tokens unlock or the potential for large holders to influence market prices through concentrated sales.

The distinction between FDV and circulating market capitalization is crucial and frequently overlooked. Circulating market cap reflects the value of tokens currently available for trading and thus more closely aligns with market liquidity and real-time supply and demand dynamics. FDV, by contrast, is a hypothetical ceiling based on the maximum possible supply. This difference means that tokens with large locked or reserved supplies can display an FDV several times larger than their circulating market cap, creating a misleading impression of market scale and token scarcity. In cases that match this pattern, the token’s risk profile can be underappreciated, especially if the timing and conditions of unlocking events are not transparent.

By understanding FDV more deeply, analysts and participants can better frame important questions about token inflation and supply risk that might otherwise remain hidden. For instance, FDV invites scrutiny of how much of the token supply remains unissued or locked, whether minting or burn authorities exist that can dynamically alter supply, and how vesting schedules might impact future token release timing. Such factors directly influence the potential for dilution, unexpected selling pressure, or shifts in token valuation over time. While FDV itself is not a risk indicator, it serves as a foundational metric that, when combined with other on-chain data such as contract permissions and liquidity lock status, can reveal the structural supply dynamics underpinning a token’s economic model.

It is worth noting the caveat that FDV alone does not confirm intent or predict future supply behavior. The mere presence of a large maximum supply or active mint authority does not necessarily imply malicious intent or imminent dilution; these features can sometimes support legitimate use cases such as inflationary economic models or network incentives. Therefore, interpreting FDV must be done in the broader context of project governance, tokenomics design, and on-chain activity. Only through this layered analysis can one approach a more accurate understanding of what FDV reveals—and what it conceals—about a token’s true economic and risk profile.

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

Verify the contract address before you buy in. Paste it into the scanner above for the full on-chain breakdown.
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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 →