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Sandwiched.me
Sandwiched.me is a comprehensive analytics platform focused on tracking and visualizing MEV (Maximal Extractable Value) activity on the Solana bloc...
Sandwiched.me 🥪
What is Sandwiched.me?
Sandwiched.me is a comprehensive analytics platform focused on tracking and visualizing MEV (Maximal Extractable Value) activity on the Solana blockchain. With a particular focus on sandwich attacks, the platform provides real-time monitoring, detailed transaction analysis, and advanced visualizations to help traders, developers, and protocol designers understand the patterns and impact of MEV extraction. Version 2 of the platform offers enhanced features including detailed sandwich transaction breakdowns, financial analytics, historical volume tracking, and insights into the most targeted applications and liquidity pools.
Key features
- ✅ Detailed sandwich attack analysis
- ✅ Real-time transaction monitoring
- ✅ Historical volume visualization
- ✅ Source and validator analysis
- ✅ Liquidity pool monitoring
- ✅ Comprehensive leaderboards
- ✅ Financial impact breakdowns
Platform Features
Sandwich Details Page
✅ Complete transaction flow visualization
✅ Precise amounts for involved tokens
✅ Bot and victim address identification
✅ Detailed profit extraction analysis
Financial Analytics
✅ Extracted profit breakdown
✅ Transaction fee analysis
✅ Tip payment tracking
✅ Net value captured metrics
Visualization Tools
✅ Historical volume charts (30d, 7d, 24h)
✅ Top sandwich sources bar chart
✅ Liquidity pool treemap
✅ Validator sandwich percentage chart
Real-time Monitoring
✅ Live sandwich transaction stream
✅ Bot and victim identification
✅ Token flow visualization
✅ Immediate attack detection
Platform Insights
Transaction Volume
Over 517,881 sandwich transactions tracked in the last 30 days
Value Extraction
87,431.718 SOL extracted (approximately $8.7 million at current prices)
Fee Analysis
10,812.934 SOL in fees and tips paid by sandwichers
User Impact
160,112 unique victims affected by sandwich attacks
Analysis Features
Attacker Concentration
Only 56 active attackers responsible for all sandwich attacks
Validator Analysis
Some validators processing over 60% sandwich transactions
Liquidity Pool Tracking
Identification of most targeted pools (e.g., POPE/SOL)
Source Application Analysis
Comparison of swap volume vs. value extracted by application
MEV Understanding
What are Sandwich Attacks?
Sandwich attacks occur when bots detect a pending trade on the blockchain and quickly place their own transactions before and after the victim's transaction. This "sandwiching" allows the bot to profit from the price impact of the victim's trade, extracting value that would otherwise remain with the trader. Sandwiched.me provides visibility into these attacks, helping users understand how they work and their financial impact.
MEV Impact on DeFi
MEV extraction represents a significant form of value capture in the DeFi ecosystem. By analyzing the data from Sandwiched.me, users can see that this extraction amounts to millions of dollars, affecting a large number of traders. Understanding these dynamics is crucial for both users looking to protect themselves and developers designing protocols that minimize MEV vulnerability.
Defensive Strategies
With the insights provided by Sandwiched.me, traders can develop better strategies to avoid becoming victims of sandwich attacks. This includes understanding which pools are most frequently targeted, which applications have higher rates of sandwich attacks, and how transaction timing and size can affect vulnerability. The platform's data can inform more effective trading practices and risk management.
Frequently Asked Questions
MEV (Maximal Extractable Value) refers to the value that can be extracted from blockchain transactions by reordering, including, or censoring them. It matters because it represents value that is being extracted from regular traders without their knowledge. For Solana users, understanding MEV helps make better trading decisions and can potentially save significant amounts of money by avoiding certain patterns that make transactions vulnerable to sandwich attacks.
Sandwiched.me provides several insights that can help protect your trades. By analyzing the most targeted liquidity pools, you can avoid trading in high-risk pools. The platform also shows which applications have higher rates of sandwich attacks, helping you choose safer venues for trading. Additionally, understanding the patterns of sandwich attacks can inform better transaction timing and sizing strategies to minimize your risk exposure.
Sandwiched.me v2 includes several new features: detailed sandwich transaction flow visualization, comprehensive financial breakdowns, historical volume charts, application-specific analysis, liquidity pool monitoring via treemap, validator analysis charts, real-time transaction streams, and leaderboards for both transactions and sandwichers. These features provide deeper insights into MEV activity on Solana and help users better understand the patterns and impact of sandwich attacks.
According to Sandwiched.me data, pools with lower liquidity and higher volatility are typically more vulnerable to sandwich attacks. Specifically, the POPE/SOL pool has been identified as one of the most frequently targeted. The platform's treemap visualization of "Most Sandwiched Liquidity Pools" provides a comprehensive view of which pools are most affected, helping traders make more informed decisions about where to trade.
Sandwich attacks are quite widespread on Solana. According to Sandwiched.me data, over 517,881 sandwich transactions were recorded in just 30 days, affecting 160,112 unique victims. These attacks resulted in the extraction of 87,431.718 SOL (approximately $8.7 million at current prices). Interestingly, this significant volume of attacks was carried out by only 56 active attackers, showing a high concentration of sophisticated MEV extraction activity.
Yes, validators can play a significant role in facilitating sandwich attacks. Sandwiched.me's Validator Sandwich Percentage chart reveals that some validators are processing over 60% sandwich transactions relative to the blocks they produce. This suggests potential relationships between certain validators and MEV extractors. Understanding this relationship helps traders identify potential systemic risks and may inform future consensus mechanism improvements to reduce MEV extraction opportunities.
