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[ on-chain  ·  solana + evm ]

Token Risk 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
4.7 / 5 from 2,826 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 67,540 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

Decimals in token contracts play a foundational role in defining the granularity of token units, essentially determining how balances and transfers are calculated and displayed to users. The concept of a "fake decimals check" arises when the decimals value reported by a contract does not align with the actual arithmetic used internally, or when the decimals getter function is manipulated to misrepresent the token’s divisibility. This inconsistency can lead to situations where wallets, blockchain explorers, or decentralized exchange (DEX) interfaces display misleading balances or prices, causing confusion over the true quantity of tokens held or traded. Detecting this kind of structural discrepancy generally involves comparing the decimals function output with the actual transfer and balance calculations encoded in the contract’s logic. It is important to note that a mismatch alone does not confirm malicious intent; rather, it signals a divergence that could be exploited or may simply result from programming oversights or legacy design decisions.

The technical mechanics behind fake decimals often stem from the way token contracts handle numerical precision. Standard token contracts typically use a fixed decimals value—commonly 18 decimals—to represent token fractions, facilitating high granularity for micro-transactions. However, some tokens may report a decimals value that is deliberately altered or does not reflect the internal arithmetic used for transfers. For instance, a contract might report 18 decimals externally, but internally apply calculations based on fewer decimals, or vice versa. In these circumstances, users could see inflated or deflated balances, as the displayed numbers do not correspond to actual token quantities. This disparity can be particularly problematic when users attempt to trade or transfer tokens, as their perceived holdings or transaction amounts might be distorted, leading to unexpected results or financial losses.

Risk factors associated with a fake decimals pattern become especially pronounced when combined with owner-controlled functions capable of modifying balances, minting new tokens, or imposing transfer restrictions. A contract that reports a standard decimals value but internally uses a different scale for balances allows an owner or privileged actor to mint tokens or adjust balances in ways that are invisible or confusing to users. This mechanism effectively enables stealth inflation or dilution of existing holders without transparent accounting. The opacity introduced by such mismatches can undermine market trust, as holders may not realize their relative ownership is being eroded. Conversely, it is worth acknowledging that some projects may adopt non-standard decimals intentionally and for legitimate reasons—such as compatibility with older software systems or user interface simplification—provided the internal arithmetic remains consistent and transparent. The critical determinant is whether the decimals reporting is immutable and truthful relative to the token’s internal logic, or if it can be changed or misrepresented after the contract’s deployment.

Further analytical depth emerges when considering upgradeable proxy patterns or owner functions that can alter the decimals value or related parameters post-launch. If a contract includes an upgradeable design or privileged roles that can modify decimals or balance calculations, the risk associated with fake decimals increases substantially. This is because such capabilities allow the token’s fundamental properties to be shifted dynamically, potentially enabling malicious actors to exploit the discrepancy at strategic moments. Observing transaction patterns where token amounts appear inconsistent with displayed balances, or where user complaints about balance discrepancies surface, can provide additional warning signals. In contrast, contracts where the decimals function is immutable and the internal calculations align with the reported decimals typically present lower risk. Transparency measures such as clear documentation and third-party audits that verify decimals consistency serve to mitigate suspicion and enhance investor confidence.

When fake decimals issues intersect with other common risk conditions, such as active mint authority, adjustable sell taxes, or whitelist-only transfer restrictions, the potential for user harm and exit risk is amplified. For example, an owner who can mint tokens at a decimal scale differing from the one reported might stealthily inflate supply, thereby diluting holders and undermining the token’s market value. Adjustable sell taxes paired with decimals misrepresentation can also lead users to unknowingly pay higher fees or misjudge the cost of selling, compounding confusion and financial harm. In whitelist-only exit scenarios, fake decimals can obscure the real token amounts transferable by approved wallets, complicating exit strategies and potentially trapping users in illiquid positions. The range of realistic outcomes for these combined patterns spans from benign display quirks that merely confuse users to sophisticated scams that exploit decimals misrepresentation to defraud token holders.

In summary, the fake decimals check pattern demands careful scrutiny, particularly in the presence of owner privileges or upgradeable contract features. While the pattern itself does not definitively indicate malicious intent, it raises a cautionary flag that warrants further investigation to determine whether the contract’s internal arithmetic and external reporting are aligned and whether privileged roles can exploit any discrepancies. Only through comprehensive analysis of the token’s codebase, transaction behavior, and governance structures can one assess the true risk associated with fake decimals and their potential impact on token holders and market integrity.

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 →