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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
🔒 No Signup
⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
4.8 / 5 from 2,794 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 51,565 risk checks run
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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.
$5.6BFBI crypto losses 2023
$1B+FTC losses 2023
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Live Detections
127 scans today
49K+Scans Run
6Chains
15+Risk Signals
FreeFirst Check
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

Team wallet trust scores aim to quantify the perceived reliability of addresses controlled by a project’s core contributors, providing a metric that can sometimes help stakeholders gauge the likelihood of responsible asset management. On the surface, these scores often appear as straightforward indicators—such as transaction frequency, wallet age, or token holdings—that suggest a degree of transparency or risk. Yet, the underlying structural pattern is far more nuanced and complex. The fundamental determinant of control over a wallet is possession of its private key, an inherently invisible factor that cannot be directly measured through external heuristics or on-chain data alone. This inherent opacity means that a wallet with a high trust score based on observable activity could still be compromised or misused if the private key is leaked, stolen, or otherwise exposed, rendering surface-level signals potentially misleading or incomplete.

The single most critical factor in assessing team wallet trust remains the security and governance surrounding the private key itself. Since the private key authorizes all transactions emanating from the wallet, its custody directly governs the risk of unauthorized asset movement. Wallets secured by multisignature schemes, for instance, distribute control among multiple parties, thereby reducing the likelihood that a single compromised key leads to loss or malicious activity. Multisig arrangements introduce a layer of collective governance that can sometimes mitigate risks associated with individual negligence or bad actors within the team. Conversely, wallets controlled by a single key holder represent a single point of failure; if that key is compromised, the entire wallet and its assets become vulnerable to immediate and potentially irreversible loss. This mechanism underscores why wallet architecture and key management practices carry more analytical weight than observable transaction patterns or token balances alone, even though these surface indicators remain useful.

Two factors from the reference patterns—network transaction fees and wallet governance models—interact in subtle but meaningful ways to influence wallet trust dynamics. On blockchains where transaction fees are high, the cost of executing unauthorized transactions can act as a natural deterrent against spam or small-scale theft, thereby potentially increasing the trustworthiness of wallets operating on these networks. High fees raise the economic threshold for attacks, making it less likely that an attacker would attempt repeated unauthorized transactions, especially if the wallet’s assets do not justify such expenditure. In contrast, low-fee chains lower the economic barrier for malicious actors to perform repeated unauthorized transactions once a key is compromised. This can sometimes result in rapid asset drainage or exploit attempts that might go unnoticed in the short term. When combined with wallet governance—such as multisig versus single-key control—these factors create a spectrum of risk profiles: a multisig wallet on a high-fee chain may be structurally more secure and less economically attractive to attackers, while a single-key wallet on a low-fee chain may be more vulnerable to rapid and repeated unauthorized asset movements.

It is important to note that a team wallet trust score, in realistic and generalized terms, reflects an aggregation of observable behaviors alongside inferred security assumptions but does not guarantee safety or intent. Some projects may operate single-key wallets transparently without incident, maintaining rigorous off-chain security practices and internal controls that are not readily visible on-chain. Others might employ multisig setups that nonetheless face social engineering risks, operational errors, or collusion among signers, which can sometimes undermine the theoretical security benefits of multisig governance. Furthermore, wallets associated with teams can be benignly used for legitimate purposes such as liquidity management, vesting schedules, treasury functions, or protocol upgrades. These activities might involve frequent transactions that superficially resemble riskier or more erratic patterns, yet do not necessarily indicate malicious intent or elevated risk. Therefore, while trust scores provide useful signals, they must be interpreted alongside a comprehensive understanding of governance structures, key custody practices, and network economics to avoid over- or underestimating actual risk.

Another layer of complexity arises from the evolving nature of wallet control and team dynamics. In some cases, teams rotate keys or migrate assets between wallets to enhance security or manage operational needs, which can sometimes temporarily lower trust scores if interpreted without context. Similarly, the age of a wallet alone does not necessarily correlate with trustworthiness; a newly created wallet could be highly secure if governed properly, while an older wallet might have been compromised or poorly managed over time. Holder concentration within team wallets also factors into the analysis, as disproportionate token holdings can sometimes indicate increased risk of market manipulation or sudden asset dumps, but again, this pattern alone does not confirm intent.

In sum, the team wallet trust score is a useful but inherently imperfect metric that synthesizes visible on-chain activity with inferred assumptions about security and governance. It should be viewed as one component within a broader analytical framework that considers private key custody models, network characteristics, transaction economics, and operational context. Only by integrating these dimensions can one approach a more nuanced understanding of the true risk profile associated with team-controlled wallets.

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.

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 →