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[ on-chain  ·  solana + evm ]

Rug Pull 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
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⚡ Results in Seconds
🔍 Honeypot detection
💧 LP lock status
👥 Holder concentration
⚡ Solana + EVM
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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

Contracts that incorporate an owner-controlled adjustable sell tax parameter embody a notable structural pattern within decentralized token ecosystems. This design enables the contract’s logic to permit modifications to the tax rate on sell transactions after the token’s initial deployment. Mechanically, this means that the contract can impose a higher fee on sales relative to buys or transfers, potentially deterring or even blocking exit liquidity under certain conditions. Such functionality is typically implemented via a setter function callable only by the owner or a privileged role, allowing dynamic adjustments to the sell tax rate without the need to redeploy or migrate the contract. This fundamental capability can be identified through static code analysis, independent of live trading data, making it a readily detectable aspect in contract risk assessments.

The implications of an adjustable sell tax hinge significantly on the governance framework and operational context surrounding its use. If the contract grants a single party unfettered authority to raise the sell tax at any time — with no enforced delays or multisignature checks — this creates a credible risk profile where exit liquidity can be abruptly hampered. Sellers in such scenarios may face unexpectedly prohibitive fees, essentially trapping them or dramatically reducing their ability to liquidate positions. However, the mere presence of an adjustable sell tax function alone does not confirm malicious intent. In some cases, projects implement this feature with transparent constraints, such as immutable ceilings on the maximum tax rate, enforced timelocks that delay parameter changes to allow market participants to react, or multisignature governance that distributes control among multiple trusted parties. Under these conditions, the adjustable tax can function as a legitimate tool to deter short-term speculative trading or to fund ongoing project development through a predictable fee structure.

Further analytical depth emerges when examining complementary contract features and on-chain behaviors that interact with adjustable sell tax patterns. For instance, if the contract also enforces whitelist-only exit conditions, the combined effect can substantially compound the risk of liquidity lockup. Here, the adjustable tax may be just one barrier to selling, with the whitelist restriction effectively gating who can exit and when. Such arrangements can produce “soft honeypot” scenarios, where sellers are not outright blocked by code but face onerous economic disincentives or regulatory-like gatekeeping. Conversely, if owner privileges have been renounced or the contract is locked against upgrades, the adjustable tax parameter is effectively frozen, which significantly mitigates exit risk by removing the owner’s ability to alter the fee post-launch. The presence or absence of active mint or freeze authorities also colors this analysis: active minting can dilute token value and introduce inflationary risk, while freeze functions can halt transfers entirely, both of which may exacerbate liquidity concerns when combined with adjustable taxation.

It is crucial to contextualize these patterns within the broader governance and communication environment of the token. Transparent communication about tax policies, community governance involvement in parameter adjustments, or on-chain voting mechanisms can serve as indicators that the adjustable sell tax is part of a considered tokenomics design rather than a tool for opportunistic exit restrictions. Without such transparency and governance safeguards, the risk profile tilts toward caution, as the owner’s unilateral control over tax parameters opens the door for abuse. Still, no single pattern definitively proves intent; an adjustable sell tax is a neutral mechanism that can be wielded for diverse purposes across the spectrum of project types and maturity levels.

When adjustable sell tax features intersect with other contract capabilities, the potential outcomes vary widely. For example, coupling adjustable sell tax with blacklist functions or pause capabilities creates a potent combination that can facilitate a soft honeypot: sellers may be subjected to prohibitive fees while simultaneously being restricted by blacklists or halted transfers. This layered control can effectively trap liquidity without explicit transfer bans, making exits economically or procedurally burdensome. The risk escalates further if the contract supports proxy upgradeability without multisignature or timelock protections. In such cases, the owner might replace or augment contract logic post-launch to introduce new constraints or increase taxes unpredictably, compounding uncertainty and risk for holders. On the other hand, when adjustable sell tax coexists with robust governance frameworks, renounced mint authorities, and no freeze functions, it often reflects a nuanced approach to tokenomics that balances project sustainability with investor protections.

An additional dimension to consider is the broader market context in which tokens with adjustable sell taxes operate. Tokens with median market capitalizations around $1 million and pool depths near $100,000 can be more sensitive to sudden tax changes than larger, more liquid tokens, as thinner liquidity pools amplify the economic impact of increased fees. Furthermore, tokens circulating on chains with less mature governance ecosystems or on decentralized exchanges with limited oversight may heighten the risk associated with adjustable sell taxes if owner controls remain centralized and unchecked. Conversely, tokens operating within established governance frameworks and on well-regarded exchanges may find adjustable taxes serve as a flexible tool for managing token velocity and funding without jeopardizing exit liquidity.

Ultimately, the adjustable sell tax pattern is multifaceted and must be analyzed in conjunction with governance structures, complementary contract features, and market context to assess its risk implications accurately. Its presence signals the need for a deeper dive into the mechanisms that govern tax adjustments and the safeguards that may or may not be in place to prevent exploitative behavior. Recognizing the nuanced nature of this pattern helps differentiate between operational flexibility designed to stabilize token economies and mechanisms that could facilitate exit barriers or liquidity traps.

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

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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 →