Monitoring real-time priority fee data is essential for developers and traders who want to time their transactions optimally. Fees on Solana can vary by orders of magnitude depending on network load, making live tracking a competitive advantage.

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Real-time fee awareness turns reactive transaction sending into a proactive, cost-efficient strategy.

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Key Fee Metrics to Track

The most useful metrics for priority fee monitoring are: the minimum observed fee (useful for non-urgent transactions), the median fee (50th percentile — good baseline for most apps), the 75th percentile (for time-sensitive operations), and the 95th percentile (for critical or MEV-adjacent transactions). Tracking how these values change over time reveals congestion patterns.

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Using getRecentPrioritizationFees

The getRecentPrioritizationFees RPC method returns a list of recent priority fees per slot (up to 150 slots). Querying this every 2–5 seconds gives you a rolling picture of fee levels for your target accounts. Building a simple moving average over this data helps smooth out single-slot spikes.

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External Fee Tracking Tools

QuickNode's Solana Priority Fee Tracker provides a public dashboard showing current fees at multiple percentiles, updated in real time. Helius offers programmatic access through their Priority Fee API with six fee tiers: min, low, medium, high, very high, and unsafe max. Both tools are excellent references for calibrating your own fee logic.

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Setting Alerts

For automated systems, consider building a fee alert that triggers when the median fee for your target accounts crosses a defined threshold. During normal conditions, fees might sit at 5,000–20,000 microlamports. A spike above 100,000 microlamports signals high congestion and may indicate you should delay non-urgent transactions or increase your fee tier significantly.