Imagine you want the price of something right now, not minutes later
@Pyth Network brings live prices from the people who trade every day straight to blockchain apps
Why Pyth matters
Pyth listens to exchanges, market makers, and trading desks and then shares those prices on-chain so apps can act on what is actually happening in the market
That means faster reactions, fewer surprises, and fairer outcomes for users
How it works in plain words
Market firms sign and send price updates into Pyth
Pyth gathers those updates and creates a single price with a confidence score that shows how reliable the number is right now
That price is delivered to blockchains so smart contracts can read it and act in real time
Apps use these prices to settle trades, check collateral, and automate actions in a way that matches real markets
What makes Pyth different
First-party data comes straight from the market participants themselves — not from third party scrapers or slow aggregators
Updates can be very fast so apps that need speed can rely on them
Coverage spans many asset types like crypto, FX, stocks, and commodities
Every price comes with a confidence signal so developers can choose when to trust the feed
Real use cases you can picture easily
A decentralized exchange prices trades at the moment they happen, reducing bad slippage and making users happier
A lending app watches live prices so liquidations happen at fair values and users face fewer sudden losses
Derivatives platforms settle contracts using market prices so traders know they get a fair deal
Apps that bridge traditional finance and crypto keep their numbers aligned with the outside world
Safety and smart habits for builders
Multiple independent publishers reduce the risk of a single point of failure
Use the confidence score and simple safety rules like time windows and fallback feeds to avoid bad actions during noisy markets
Watch who the publishers are for each feed and test under different market conditions before going live
Developer friendly checklist
Read the docs and pick the feed IDs you need
Test the feed in a sandbox and watch both price and confidence values
Integrate using the provided examples for your chain and add simple safety checks
Show the live feed in demos so judges or users can see price reactions clearly
Human example to make it stick
You run a lending app and the market moves quickly after a big trade
With slow or stale prices your app could liquidate too late or too early and users would be unhappy
With Pyth your app sees the move fast and handles liquidations at prices that match the real market, so the outcome feels fair and predictable
Leaderboard campaign idea that sounds natural
Headline
Build fast, measure live, win the leaderboard
Short pitch
Ship a demo that uses live Pyth feeds, show how your app reacts in real time, and climb the leaderboard
We judge on reliability, creativity, and clarity, and winners get rewards and exposure
How to enter, plain and simple
Submit a short demo that uses a live Pyth feed
Explain your safety checks and how you use the confidence score
Make the demo easy to run so judges can see the price reaction without fuss
Tips to stand out
Show the feed live, not just a recorded video
Keep your UI simple so the change in price is obvious
Describe why your approach protects users when the market moves fast
Final human advice
Pyth brings real market behavior directly to blockchains and that helps builders make faster, fairer apps
Test thoroughly, use the confidence signal wisely, and keep your design simple so users can see the benefit right.
