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[ on-chain  ·  solana + evm ]

Token Risk Check

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

Read the contract before the contract reads you. Honeypot, rug, and scam detection from on-chain state — not market data.

⚠️ Token Risk Check
✓ On-Chain Analysis
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⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
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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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Live Detections
127 scans today
49K+Scans Run
6Chains
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

A buy tax within a token contract typically functions as a conditional fee applied during purchase transactions. This mechanism is most often implemented within the contract’s transfer or swap functions, where the contract detects whether the sender or recipient corresponds to a liquidity pool or router address associated with decentralized exchanges. Upon identification, the contract deducts a predetermined percentage of the tokens involved in the transaction as a tax before crediting the buyer’s account. This fee can either be hardcoded at deployment or adjustable through owner-controlled parameters, enabling the project team to collect fees on buys that may subsequently fund development efforts, marketing campaigns, liquidity incentives, or other operational costs. The presence of a buy tax is fundamentally a structural attribute visible through contract inspection, often encoded either as a distinct variable or embedded within the transfer logic. Importantly, the existence of a buy tax alone does not necessarily imply malicious intent. Rather, it establishes an additional cost layer that buyers must pay when acquiring tokens, which can sometimes be a legitimate component of a token’s economic design.

The risk profile associated with a buy tax pattern hinges largely on several factors: transparency, mutability, and the economic impact the fee imposes on users. If the buy tax rate is fixed at launch with clear and accessible disclosure—often documented in whitepapers or verified contract sources—it can serve legitimate purposes. These purposes might include funding ongoing project operations or incentivizing liquidity provision by channeling fees into liquidity pools. Conversely, when the buy tax is owner-adjustable post-launch without meaningful restrictions or governance oversight, it introduces a significant risk vector. Under such conditions, the owner could impose sudden, punitive fee hikes that trap buyers by eroding returns or discouraging further trading activity. This potential for abrupt changes creates an environment where investors may encounter unpredictable transaction costs, undermining market confidence and liquidity. In some cases, a buy tax combined with other restrictive mechanisms—such as whitelist-only sells, blacklisting functionality, or transfer freezes—can contribute to what is colloquially known as a soft honeypot. This scenario occurs when buyers can enter the market but face obstacles exiting efficiently due to prohibitive fees or locked sell permissions. That said, a static, low buy tax with no owner override capability and clear documentation is typically benign and relatively common across various tokenomics models.

Further analytical depth emerges when examining how the buy tax interacts with other contract features. For instance, if the contract includes owner-controlled minting or freezing authorities, the impact of the buy tax may be compounded by supply inflation or transfer freezes, which can exacerbate exit difficulties for holders. In such contexts, the buy tax is not an isolated friction but part of a broader control apparatus that can amplify risk. On the other hand, the presence of multisignature wallet controls, timelocks on tax parameter changes, or transparent governance processes can mitigate these concerns by limiting unilateral owner actions. Such governance structures introduce checks and balances that reduce the likelihood of sudden or malicious tax rate adjustments. On-chain transaction history also provides useful signals: consistent buy tax rates without sudden spikes, paired with successful buy and sell transactions, can reduce suspicion. However, the absence of these transparency signals or evidence of owner privilege abuse—such as repeated tax hikes without community input—would heighten the risk profile associated with the buy tax pattern.

Market conditions further influence the practical consequences of a buy tax. When a buy tax is applied in conjunction with thin liquidity pools or low market capitalization, even modest fees can discourage trading volume, reduce market depth, and increase slippage for sellers. Thin pools relative to market cap or low pool depth can amplify price volatility, as smaller trades disproportionately impact token price. This effect is particularly problematic if paired with exit restrictions, creating a scenario where holders are effectively trapped by both the buy tax and limited liquidity. The combination can result in price behavior that resembles a honeypot—where investors are taxed heavily on entry but face difficulties liquidating their positions without incurring substantial losses. Conversely, in markets with robust liquidity, deeper pools, and transparent tax policies, the buy tax may function as intended without materially impairing trading dynamics or holder value. In such cases, the economic cost imposed by the buy tax is absorbed within a healthy trading ecosystem, sustaining project funding without discouraging participation.

It is also worth noting that the pattern of a buy tax does not by itself confirm intent, whether malicious or benign. The context of its implementation—governance mechanisms, transparency, mutability, and interaction with other contract features—must be considered to assess risk adequately. For instance, a project implementing a buy tax alongside transparent multisig governance and timelocked parameter changes is less likely to abuse this feature than one with unchecked owner privileges and opaque contract design. Thus, while the buy tax is a structural element observable through contract analysis, its risk implications depend heavily on the broader governance and market environment in which it operates.

In sum, understanding how to check a buy tax involves not only identifying the tax mechanism itself but also evaluating its mutability, transparency, governance constraints, and economic impact within the token’s trading ecosystem. This multi-dimensional analysis provides deeper insight into whether the buy tax serves a functional role within tokenomics or contributes to a higher-risk trading environment.

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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Why on-chain signals matter

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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 →