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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
4.6 / 5 from 2,338 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 46,973 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
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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

Vesting schedules with cliff unlocks form a structural pattern central to many token profiles, including those on Solana. At first glance, a cliff date appears as a clear, discrete event where a large tranche of tokens becomes available, suggesting a sudden, sharp sell-off risk. However, the actual market impact often unfolds differently. Rather than a single price drop, released tokens may gradually absorb into demand over time, producing a more sustained period of price weakness. This mismatch between the apparent one-time event and the drawn-out market response complicates risk assessments based solely on the unlock schedule.

The most analytically significant factor in this pattern is the behavior of unlocked holders post-cliff. The mechanism here hinges on whether these holders choose to sell immediately or hold their tokens. Even a large unlocked supply may not translate into immediate sell pressure if holders are incentivized to retain tokens, for instance through staking rewards or governance participation. Conversely, if holders rapidly liquidate, the market faces increased supply, pushing prices downward. This behavioral uncertainty means that vesting schedules alone cannot predict price movements without context on holder incentives and market conditions.

Governance lock mechanisms and thin circulating float often interact with vesting schedules to shape token dynamics. Governance locks can temporarily reduce circulating supply during active proposals, which may coincide with or follow cliff unlocks. This reduction in float can amplify price volatility, as smaller effective supply magnifies the impact of trades. When combined with a vesting event, the interplay between locked governance tokens and newly unlocked tokens can either dampen or exacerbate price swings, depending on timing and holder actions. Understanding these interactions is key to anticipating market behavior beyond simplistic supply-release models.

In practical terms, cliff unlock patterns do not inherently signal negative outcomes and can exist for legitimate reasons such as aligning incentives or regulatory compliance. Tokens tied to specific protocols may also experience additional layers of risk unrelated to vesting, including protocol exploits or governance disputes, which can overshadow unlock effects. Therefore, while cliff unlocks often correlate with sustained price weakness, this is not a universal rule. The pattern’s significance depends on broader context, including holder behavior, governance activity, and protocol health, all of which can either mitigate or magnify the impact of token release events.

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 →