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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 2,725 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 77,844 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.
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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

A "sell tax checker" pattern typically revolves around contract logic that imposes a fee or tax specifically on sell transactions, often differentiated from buys or transfers. Mechanically, this is implemented by detecting the direction of a transfer—usually by identifying interactions with liquidity pool addresses—and applying a higher tax rate or fee when tokens move from a user to the pool (a sell). This structural condition can be encoded as an adjustable parameter, sometimes owner-controlled, allowing dynamic changes to the sell tax rate post-launch. The key function patterns include conditional require() checks or fee calculations that only trigger on sell paths, effectively increasing the cost or reducing the net amount received by sellers.

This pattern becomes risk-relevant primarily when the sell tax is owner-adjustable without transparent limits or governance, enabling sudden increases that can trap sellers or disincentivize exits. Such behavior can mimic soft honeypots, where buyers can acquire tokens at normal rates but face punitive costs or blocked sales when attempting to exit. However, the presence of a sell tax alone is not inherently malicious; many projects implement sell taxes to fund liquidity, marketing, or development, which can be legitimate. The benign nature depends on whether the tax parameters are fixed or adjustable, whether changes require multisig approval, and if the project communicates these mechanics clearly to participants.

Observing additional contract features can substantially shift the risk assessment. For instance, if the contract includes a whitelist-only exit mechanism, the sell tax may be irrelevant for approved wallets but prohibitive for others, signaling layered restrictions. Similarly, the presence of active mint or freeze authorities adds complexity: minting can dilute value, and freezing can halt sales regardless of tax. Upgradeable proxy patterns without timelocks can enable abrupt tax changes or other restrictions. Conversely, transparent, immutable tax parameters combined with community governance or time-locked controls would mitigate concerns, indicating deliberate design rather than opportunistic risk.

When combined with thin liquidity pools or low market depth, a sell tax checker pattern can exacerbate price impact and trading friction, amplifying exit difficulty for holders. Even moderate sell taxes can cause cascading slippage in shallow pools, making it challenging to sell without significant losses. This dynamic can deter trading activity and create artificial price floors, sometimes mistaken for stability but actually reflecting exit barriers. In contrast, deep pools with high volume can absorb sell taxes more smoothly, reducing adverse effects. Thus, the real-world impact of sell tax checkers depends heavily on liquidity context, owner controls, and complementary contract features that either constrain or empower tax adjustments.

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 →