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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
4.9 / 5 from 3,128 users Direct on-chain reads 🔐 Non-custodial — no wallet connect required Sub-5-second scan 🔗 Solana · Ethereum · Base · Arbitrum · BNB · Polygon · Avalanche 📊 49,350 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

Partnership claims within crypto token projects frequently present themselves through off-chain channels such as press releases, social media announcements, or website badges, rather than through explicit on-chain contract features. From a forensic standpoint, the crux of assessing these claims lies in identifying verifiable on-chain interactions or permissions that substantiate the existence of a genuine partnership. In some cases, a contract might embed mechanisms such as whitelists or assign special privileges to partner addresses, including minting rights, fee exemptions, or governance roles. These contract-level markers can mechanically demonstrate operational reality by enabling actions reserved exclusively for partners, lending credibility to the partnership claim. However, in the absence of such on-chain evidence, partnership assertions remain unverifiable and may serve primarily as marketing tools, potentially designed to mislead investors or inflate perceived project legitimacy.

The risk dimension of fake partnership claims emerges particularly when such claims are strategically leveraged to induce buying pressure without any tangible contract-level benefits accruing to token holders or the broader ecosystem. These deceptive narratives can act as potent social engineering devices, artificially inflating valuations and setting the stage for exit scams. While this pattern is a known tactic in fraudulent schemes, it is important to acknowledge that the absence of on-chain partnership evidence alone does not definitively confirm malicious intent. Some projects announce partnerships that are aspirational or promotional in nature, with no immediate on-chain integration planned. In such contexts, the lack of on-chain confirmation should prompt caution but not outright dismissal. It is crucial to interpret these signals within a broader analytical framework rather than in isolation.

Further analytical depth arises from examining auxiliary on-chain signals that might bolster or undermine the partnership narrative. For example, on-chain evidence of cross-contract calls or transactional interactions between the project and purported partner contracts can substantiate claims. Token allowances granted to partner addresses or shared ownership structures reflected in contract code or multisig arrangements also enhance credibility. In cases where a partner address holds significant governance weight or is endowed with special contract privileges, the partnership claim gains operational substance. Conversely, contracts that centralize control in an owner account with the ability to revoke partner permissions unilaterally introduce notable risk. Such arrangements suggest that partnerships could be superficial or ephemeral, potentially manipulated to facilitate fraudulent exits. Transparency and immutability in partnership markers—such as multisig governance involving the partner or hardcoded privileges—serve as mitigating factors, whereas opaque controls concentrated in a single entity increase vulnerability.

When fake partnership claims intersect with other risk patterns, the potential for harmful outcomes escalates. Notably, combinations involving owner-controlled adjustable sell taxes, whitelist-only exit restrictions, or active mint and freeze authorities are cause for heightened scrutiny. In these scenarios, the partnership narrative can act as a smokescreen, obscuring soft-honeypot mechanics designed to trap investors. Soft honeypots permit purchases but restrict or penalize sales, often through dynamic tax adjustments or whitelist constraints. When liquidity removal occurs abruptly—such as a single transaction draining the pool—holders who bought based on a falsified partnership claim may find themselves unable to exit without significant losses. Such dynamics accelerate price collapse and deepen investor entrapment, amplifying the consequence of deceptive marketing.

It is worth emphasizing that genuine partnerships with appropriately constrained contract permissions tend to reduce these risks. Projects that implement immutable or multisig-controlled partnership privileges protect against unilateral revocation or manipulation. Moreover, partnerships that manifest in concrete on-chain interactions—such as revenue sharing, joint liquidity provisioning, or integrated governance—reflect operational reality rather than mere marketing. Hence, holistic contract inspection becomes indispensable. Evaluators must move beyond surface-level claims and assess the underlying code, permission structures, and transactional behavior to discern authenticity. This comprehensive approach recognizes that marketing narratives alone are insufficient and can sometimes be deliberately crafted to deceive.

Another dimension to consider involves the relative scale and visibility of the partnership within the ecosystem. In tokens with thin liquidity pools relative to market capitalization or recent launch dates, partnership claims carry different implications than in well-established projects with robust on-chain evidence. Small or nascent tokens may announce partnerships as a credibility signal, yet lack the structural robustness to substantiate them. This context introduces an additional layer of risk, as investors may overestimate the partnership's impact based on marketing rather than technical reality. Conversely, projects with mature liquidity, sizeable trading volume, and transparent contract governance structures that reflect partnership involvement offer a stronger foundation for trust.

Finally, it is important to acknowledge that fake partnership claims are only one facet of a broader risk landscape. They often coexist with other red flags such as concentrated holder distributions, unlocked liquidity pools, and permissions that enable rapid minting or freezing of tokens. The interplay of these factors compounds risk, making a singular focus on partnership legitimacy insufficient. Only through integrated analysis of contract permissions, liquidity status, holder concentration, and transactional patterns can a nuanced risk profile be constructed. In this light, fake partnership claims serve as an important but not definitive indicator—one that requires contextualization within the broader architecture of token mechanics and project governance.

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 →