Gas Fee Optimizer
Last updated
Last updated
Gas Fee Optimizer offers the following key features:
The tool analyzes smart contract code to identify operations that consume the most gas.
Gas Fee Optimizer uses advanced code analysis and optimization algorithms, including:
The developer uploads the contract code to the tool.
Gas Fee Optimizer stands out among similar solutions due to:
Developers can upload existing contracts for analysis and optimization of gas costs.
The tool is compatible with various blockchains, such as Ethereum, Binance Smart Chain, Polygon, and others.
Provides access to the API for integrating Gas Fee Optimizer functionality into other tools and applications.
Static Code Analysis
The tool analyzes the smart contract at the bytecode level to identify areas with high gas consumption.
Heuristic Algorithms
Heuristic methods are applied to find the best gas optimization solutions without disrupting the contract’s logic.
Machine Learning
The tool is trained on a large dataset of smart contracts, enabling it to offer the most effective optimization paths based on historical data.
Cost Reduction
The main advantage is reducing gas fees, making smart contract usage more cost-effective.
Performance Improvement
Optimized smart contracts run faster and require fewer resources, enhancing overall application performance.
Ease of Use
The user-friendly and intuitive interface allows quick analysis and optimization of code.
Comprehensive Approach
The tool not only analyzes and optimizes code but also provides detailed recommendations and simulations to evaluate the effectiveness of the changes.
High Accuracy
The use of machine learning and heuristic methods allows for more precise results compared to traditional analysis methods.
Integration with Multiple Blockchains
The tool supports optimization for several blockchains, including Ethereum, Binance Smart Chain, and others.
Gas Usage Code Analysis
Detailed analysis of smart contract operations with an indication of their impact on gas consumption.
Bytecode-Level Optimization
Suggestions for changing code structure and logic to reduce gas costs.
Interactive Reports
Reports with recommendations that can be directly applied to the code.
Transaction Simulation
Testing proposed optimizations in real-time with a display of potential savings.
Optimization Level Selection
Options to adjust the degree of optimization, such as aggressive optimization or a balance between performance and savings.
Adaptation to Specific Blockchains
Configuration of algorithms to match the characteristics of specific blockchains where the smart contracts are deployed.
