Live Oracle Race
Oracle Speed Dashboard
Pyth's bar is a real Hermes round-trip for SOL/USD, measured from your browser and refreshed every 5s. Competitor bars show each oracle's documented update cadence — how long a fresh on-chain price typically takes under their update model — clearly labeled, never simulated.
Fastest to a fresh price
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Pyth avg latency (last 30)
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SOL/USD oracle price
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Time to a fresh price — lower is better
Bars use a square-root scale so the fast end stays readable next to minute-scale cadences. “Measured live” = a real network round-trip from this page; “documented cadence” = the oracle's own published update model (deviation thresholds, heartbeats, relay intervals) — actual timing varies with market volatility and chain congestion.
Pyth latency trend
Collecting samples…
Why this matters
- Pull oracles (Pyth) push updates on demand — protocols pay gas only when they need a price, and every feed ships a confidence interval so lending can price collateral conservatively.
- Push oracles (Chainlink) keep a heartbeat schedule; fresh prices cost nothing to read but stale between heartbeats unless the deviation trigger fires.
- Confidence bands let risk engines tighten collateral factors during volatile minutes — something other oracles can't express without a second feed.