How We Ensure Fair and Accurate RPC Performance Comparisons with Enhanced Reliability
This demo is designed for research and educational purposes to demonstrate RPC performance comparison methodologies. Results may vary based on network conditions and should not be considered definitive benchmarks. Bugs may occur as this is an experimental tool.
Our enhanced RPC performance testing system provides the most fair and accurate comparison possible between different Ethereum RPC providers. We test Direct against industry leadersAlchemy, Infura, and QuickNode using scientifically rigorous methods with advanced cache-busting, reliability monitoring, and comprehensive statistical analysis.
We use an advanced testing methodology with cache-busting, reliability monitoring, and comprehensive statistical analysis to ensure maximum fairness and eliminate potential biases that could skew performance comparisons.
Before each test, we perform dummy calls to all providers to establish connections and ensure they start from equal footing.
For each test, we randomize the order in which providers are executed using the Fisher-Yates shuffle algorithm to prevent systematic bias.
All providers are started simultaneously using Promise.allSettled() with a single global start time reference for precise timing measurements.
We implement multiple cache-busting techniques to ensure accurate measurements and detect potentially cached responses.
We measure the timing delta between when each provider actually starts executing and log warnings if fairness is compromised.
We test 5 different types of blockchain operations to simulate real-world usage patterns, from simple balance checks to complex DeFi interactions.
Tests basic eth_getBalance RPC call performance
Tests eth_blockNumber to get latest block number
Tests contract interaction with eth_call
Tests complex DeFi interactions with multiple parallel calls
Tests lending protocol interactions
Our comprehensive testing approach ensures statistically significant results through large sample sizes and rigorous analysis.
This sample size provides meaningful performance insights while being fast enough for interactive testing. Results are automatically saved to your browser's local database for comparison across multiple test runs.
Our live performance scoring system provides real-time insights into overall RPC provider performance by calculating comprehensive averages across all completed test runs.
Instead of just counting individual test wins, we calculate the average response time for each provider across all completed calls to determine overall performance.
We provide three key performance metrics for comprehensive analysis:
Our average-based approach captures the full performance picture, including outliers that affect real-world user experience.
The live performance score updates in real-time as tests complete, providing immediate feedback on provider performance trends.
Traditional "win counting" can be misleading when one provider wins by 1ms while losing by 500ms. Our average-based scoring reflects actual user experience by weighing all response times equally, providing a more realistic view of consistent performance across varied network conditions.
We believe in complete transparency. Every aspect of our testing methodology is open for inspection and verification.
Each test logs the randomized execution order so you can verify that no provider consistently gets an advantage from execution position.
We measure and display the timing difference between when each provider starts executing. Values <1ms indicate excellent fairness.
Every single call result is stored and can be analyzed, including success/failure rates, exact timing measurements, and error details.
Our testing code is open for inspection. You can see exactly how we ensure fairness and calculate performance metrics.
All test results are automatically saved to your browser's IndexedDB with complete metadata including timestamps, fairness scores, and statistical breakdowns. Data stays on your device and is never sent to external servers.
We actively monitor for suspicious results including responses faster than 0.1ms (potential cache hits), excessive speed multipliers (>50x), and timing inconsistencies.
Results may vary based on your geographic location, internet connection, and current network conditions. Our enhanced methodology accounts for this variability through statistical analysis, cache busting, and reliability monitoring. All results are saved locally for comparison across different conditions and time periods.
Our testing system calculates detailed statistical metrics to provide comprehensive performance insights beyond simple averages.
Overall Speed vs 2nd Place is our primary metric showing real-world performance advantage.Median is more reliable than mean for individual test analysis.95th percentile shows best-case performance (95% of calls were faster than this).Standard deviation indicates consistency - lower values mean more predictable performance.Cache Hit Rate of 0.0% means all calls were genuine network requests (no caching bias). Our average-based scoring captures the full user experience including outliers.
Every test run is automatically saved to your browser's local database, enabling historical comparison and trend analysis over time.
We use IndexedDB (a robust browser database) to store complete test results including individual call timings, statistical summaries, fairness scores, and metadata. This enables offline access and long-term performance tracking.
Compare performance across different time periods, network conditions, and Direct versions. Track how RPC performance changes over time and identify patterns in provider reliability.
All data stays on your device. No test results, timing data, or performance metrics are ever transmitted to external servers. You have complete control over your testing data.
While we strive for maximum fairness, there are some inherent limitations to browser-based RPC testing that users should be aware of.
Tests run in your browser's JavaScript environment, which has inherent limitations compared to server-side testing. However, this reflects real-world dApp usage.
When you see Direct responding in 0.5-3ms while others take 100-300ms, this typically indicates:
• Connection optimization: Direct's enhanced connection handling
• Geographic proximity: Direct nodes closer to your location
• Network routing: More efficient routing paths
• Protocol optimization: Enhanced HTTP/2 multiplexing and compression
Internet conditions, geographic location, and ISP routing can affect results. Multiple test runs may show different winners based on current conditions.
RPC providers may cache responses differently, which can affect performance. Our pre-warming helps minimize this, but some caching effects may remain.
Our 50-call sample size provides meaningful insights while enabling rapid testing. We calculate comprehensive statistics including median (more robust than mean), 95th percentile (worst-case performance), and standard deviation (consistency). Results are automatically saved for historical comparison and trend analysis.
