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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
4.9 / 5 from 2,819 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 60,829 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
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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

Launch events for new tokens often center on the interaction between initial supply schedules and market demand, but the surface impression of a launch can be misleading. Token launches may appear as singular events with immediate price discovery, yet underlying mechanisms like vesting cliffs and liquidity concentration mean that supply absorption unfolds over time. This temporal mismatch means that price behavior post-launch often reflects gradual integration of unlocked tokens rather than a single discrete market reaction. The structural pattern here is that supply release schedules create a dynamic flow of available tokens, which can sustain price pressure beyond the initial launch window.

Among the factors shaping launch dynamics, vesting schedules with cliff unlocks carry the most analytical weight. These schedules define when large token allocations become transferable, potentially increasing circulating supply abruptly. The mechanism works by creating predictable supply shocks that may overwhelm immediate demand, pushing prices downward. However, the actual impact depends on whether holders choose to sell upon unlocking or retain their tokens, which introduces uncertainty. This factor is critical because it governs the timing and scale of supply entering the market, directly influencing liquidity and price stability.

Governance lock mechanisms and bridged wrapped tokens often interact in ways that complicate launch risk profiles. Governance locks can temporarily reduce circulating float during active proposals, tightening available supply and amplifying price volatility. Meanwhile, bridged wrapped tokens introduce counterparty risk distinct from the canonical token, sometimes trading at a discount when bridge conditions deteriorate. When these factors coexist, the circulating supply may be artificially constrained or fragmented, leading to thinner liquidity and heightened sensitivity to market moves. This interplay can either exacerbate price swings or mask underlying supply risks depending on the relative timing of governance activity and bridge status.

In generalized terms, the launch pattern characterized by vesting cliffs and supply absorption often results in sustained price weakness rather than sharp, isolated drops. This reflects the gradual market digestion of newly unlocked tokens as they enter circulation and interact with demand. Nevertheless, this pattern is not inherently negative; vesting schedules can serve legitimate purposes such as aligning incentives or regulatory compliance. Similarly, governance locks and wrapped token mechanisms can support protocol security and interoperability. The key analytical challenge is distinguishing when these structural features represent manageable market dynamics versus when they signal latent liquidity or counterparty risks that could destabilize price discovery.

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 →