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[ on-chain  ·  solana + evm ]

Scam Token Check

Verify the contract structure, on-chain trading history, and developer wallet activity before buying in.

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 2,885 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 55,892 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

Tokens that exhibit a honeypot pattern often appear normal because buy transactions succeed and price charts show typical activity. The core structural mechanism involves a require() check in the transfer function that reverts sell transactions for non-whitelisted addresses, allowing purchases but blocking exits. This creates a surface mismatch: buyers can accumulate tokens but cannot liquidate them, resulting in trapped capital. Detecting this pattern requires direct contract inspection rather than relying on trading history or price action, since on-chain activity might look legitimate despite the underlying exit restriction.

Owner control over whitelist parameters or sell tax rates tends to carry the most analytical weight in assessing scam token risks. When the contract allows the owner to modify sell tax post-launch or adjust whitelist entries, it preserves the capacity to impose exit barriers dynamically. This mechanism can escalate sell taxes to prohibitive levels or revoke permission for certain wallets to transfer tokens, effectively locking holders in. The presence of mutable owner-controlled variables linked to transfer restrictions is a structural feature that can indicate potential for abuse, regardless of whether these powers have been exercised yet.

Blacklist functions and upgradeable proxy patterns often combine to amplify exit risks in scam-like tokens. A blacklist mapping lets the owner prevent designated addresses from transferring tokens, while proxy upgrades enable rapid changes to contract logic without redeploying the contract address. If these features coexist without governance safeguards like timelocks or multisig approvals, the owner can blacklist wallets and subsequently upgrade the contract to introduce new restrictions or tax rules in a single transaction. This interaction creates a flexible exit-blocking environment that can evolve after launch, complicating risk assessments based solely on initial contract code.

In generalized terms, these structural patterns do not always indicate malicious intent or scam status. Pause functions and blacklist capabilities can be legitimate tools for addressing security incidents or regulatory compliance, and active mint or freeze authorities may be retained for operational flexibility. The key consideration is whether these powers are owner-controlled and modifiable without transparent governance, which raises the possibility of exit restrictions being deployed opportunistically. Thus, while the presence of these patterns signals elevated exit risk, contextual factors such as project transparency, community governance, and on-chain history of function use are crucial for refining the assessment.

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 →