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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
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⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
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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 central structural pattern relevant to a “crypto scam predictor” is the presence of owner-controlled adjustable sell tax parameters within a token’s contract. Mechanically, this pattern allows the contract owner to modify the percentage fee applied to sell transactions at any time after launch. This means that while buyers may initially experience low or zero sell tax, the owner can later increase the tax dramatically, effectively disincentivizing or blocking sales without altering the token’s transfer function. This pattern is detectable through contract inspection by identifying setter functions for sell tax variables, rather than through price charts or trading history, as the impact manifests only when the owner exercises this control.

This pattern’s risk relevance depends heavily on the owner’s ability and intent to modify the sell tax post-launch. If the contract includes immutable or time-locked parameters preventing tax changes, the pattern is benign and serves as a flexible fee mechanism. Conversely, if the owner retains unrestricted control, this can enable soft-honeypot behavior where sells become prohibitively expensive or revert, trapping holders. However, some projects legitimately use adjustable taxes for dynamic liquidity management or protocol incentives, so the presence of this pattern alone does not confirm malicious intent. The key risk factor is owner modifiability without transparent governance or timelocks.

Additional signals that would meaningfully shift the risk assessment include the presence of multisignature controls or timelocks on the sell tax setter function, which would reduce unilateral owner risk. Conversely, if the contract also includes whitelist-only exit conditions—where only approved addresses can sell—or a blacklist function that can freeze or block transfers, these compound the risk by restricting exit options. Observing an active freeze authority or unrenounced mint authority alongside adjustable sell tax can further increase risk, as these enable supply inflation or transfer halts. The absence of such controls or the presence of transparent, community-governed mechanisms would mitigate concerns.

When adjustable sell tax patterns combine with other common conditions like proxy upgradeability without timelocks, pause functions, or liquidity removal capabilities, the range of outcomes broadens toward rapid price collapse scenarios. For instance, an owner could raise sell tax sharply, pause transfers, then remove liquidity in a single transaction, effectively locking in losses for holders before they can react. On the other hand, if these controls are absent or restricted, the pattern’s impact may be limited to flexible fee adjustments that support protocol sustainability. The realistic spectrum thus spans from benign fee management to mechanisms enabling forced exit blocks and sudden liquidity drains.

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 →