Pyth Network
Pyth Network
PYTH
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Pyth Network is a next-generation oracle solution, designed to bring high-fidelity (HiFi) data to decentralized finance (DeFi). It is a product of collaboration between major players in traditional finance and DeFi, aiming to provide the infrastructure necessary for substantial DeFi market growth. Pyth Network focuses on offering legally authorized access to unique datasets, featuring sub-second update speeds, sophisticated output, and aggregation methods, and an effective incentive system to ensure data accuracy and prevent malicious breaches.
The core of the Pyth Network is its protocol, which aggregates inputs from various data providers to produce a single aggregate price and confidence interval every 400 milliseconds for each price feed. This mechanism operates on an application-specific blockchain called Pythnet, a proof-of-authority chain running a version of the Solana validator. It is separate from the Solana mainnet-beta and combines inputs from different providers to produce a unified price and confidence interval for each feed. The aggregation algorithm is designed to robustly counter outliers and manipulation, appropriately weigh each data source based on accuracy, and reflect variations between data providers' prices in an aggregate confidence band. This data is then streamed to Wormhole, ready for use in decentralized applications (dApps).
Pyth Network stands out with unmatched update frequencies and data confidence intervals, operating on Solana's high-performance blockchain for near-instantaneous updates. It publishes confidence intervals for all price feeds, a unique feature that enhances accuracy, especially during high volatility. Pyth aggregates first-party data from multiple publishers, reducing manipulation risks and maintaining data integrity through decentralization. The network also introduces two flagship products: Pyth Price Feeds, offering over 350 low-latency price feeds across various asset classes, and Pyth Benchmarks, providing a historical archive of prices from Pyth Price Feeds for standardized calculations and presentation. These products address speed, asset coverage, and accuracy issues of legacy oracles and are designed for integration with a broad range of blockchains including Ethereum, BNB Chain, Polygon, and many others.
In 2024, Pyth Network continued to expand its impact and application scenarios within the DeFi ecosystem, further solidifying its position as a leader in high-fidelity (HiFi) data and low-latency pricing. This year, Pyth introduced a new cross-chain data transfer protocol called PythX, which enhances efficiency and security in cross-chain data transmission. PythX integrates Wormhole and IBC (Inter-Blockchain Communication) technologies, enabling unprecedented interoperability of data across different blockchain networks. Additionally, Pyth upgraded its Pythnet by implementing more sophisticated layered security mechanisms and optimizing its oracle algorithms, significantly improving data precision and resistance to manipulation.
To meet the growing market demand, Pyth Network expanded its support for new asset classes in traditional financial markets, including stock indices and macroeconomic indicators. Furthermore, Pyth introduced new data aggregation methods that deliver real-time market data with even lower latency and higher accuracy. This progress has positioned Pyth as the preferred choice for decentralized applications (dApps) seeking reliable and precise data across a wide range of blockchain ecosystems.
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Q&A about Pyth Network Tokenomics
Explore the tokenomics of Pyth Network(PYTH) and review the project details below.
What is the allocation for Pyth Network(PYTH)?
- 22%(2.2 billion) PYTH tokens are allocated for data providers or "publishers" who provide price data to the Pyth Protocol. This is designed to incentivize the publication of accurate and timely data.
- 52%(5.2 billion) PYTH tokens are set aside for contributors to the Pyth Network, including developers, educators, researchers, strategic contributors, and early publishers. This allocation supports initiatives like research projects, tooling development, and public education programs.
- 10%(1 billion) PYTH tokens are allocated to core contributors focused on building oracle tooling, products, and infrastructure for expanding the protocol’s decentralized data services.
- 6%(600 million) PYTH tokens are reserved for initial launch phase activities and related initiatives. This entire allocation is unlocked from day one.
- 10%(1 billion) PYTH tokens represent two historical funding rounds to strategic contributors who add value to the network in terms of advisory and infrastructure support. These tokens are subject to a vesting schedule.
What is the supply schedule for Pyth Network(PYTH)?
The total supply of PYTH tokens is 10 billion, with an initial circulating supply of 1.5 billion (15%). The remaining 85% of the tokens are initially locked and will unlock at 6, 18, 30, and 42 months after the initial token launch.
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Pyth Network is a next-generation oracle solution, designed to bring high-fidelity (HiFi) data to decentralized finance (DeFi). It is a product of collaboration between major players in traditional finance and DeFi, aiming to provide the infrastructure necessary for substantial DeFi market growth. Pyth Network focuses on offering legally authorized access to unique datasets, featuring sub-second update speeds, sophisticated output, and aggregation methods, and an effective incentive system to ensure data accuracy and prevent malicious breaches.
The core of the Pyth Network is its protocol, which aggregates inputs from various data providers to produce a single aggregate price and confidence interval every 400 milliseconds for each price feed. This mechanism operates on an application-specific blockchain called Pythnet, a proof-of-authority chain running a version of the Solana validator. It is separate from the Solana mainnet-beta and combines inputs from different providers to produce a unified price and confidence interval for each feed. The aggregation algorithm is designed to robustly counter outliers and manipulation, appropriately weigh each data source based on accuracy, and reflect variations between data providers' prices in an aggregate confidence band. This data is then streamed to Wormhole, ready for use in decentralized applications (dApps).
Pyth Network stands out with unmatched update frequencies and data confidence intervals, operating on Solana's high-performance blockchain for near-instantaneous updates. It publishes confidence intervals for all price feeds, a unique feature that enhances accuracy, especially during high volatility. Pyth aggregates first-party data from multiple publishers, reducing manipulation risks and maintaining data integrity through decentralization. The network also introduces two flagship products: Pyth Price Feeds, offering over 350 low-latency price feeds across various asset classes, and Pyth Benchmarks, providing a historical archive of prices from Pyth Price Feeds for standardized calculations and presentation. These products address speed, asset coverage, and accuracy issues of legacy oracles and are designed for integration with a broad range of blockchains including Ethereum, BNB Chain, Polygon, and many others.
In 2024, Pyth Network continued to expand its impact and application scenarios within the DeFi ecosystem, further solidifying its position as a leader in high-fidelity (HiFi) data and low-latency pricing. This year, Pyth introduced a new cross-chain data transfer protocol called PythX, which enhances efficiency and security in cross-chain data transmission. PythX integrates Wormhole and IBC (Inter-Blockchain Communication) technologies, enabling unprecedented interoperability of data across different blockchain networks. Additionally, Pyth upgraded its Pythnet by implementing more sophisticated layered security mechanisms and optimizing its oracle algorithms, significantly improving data precision and resistance to manipulation.
To meet the growing market demand, Pyth Network expanded its support for new asset classes in traditional financial markets, including stock indices and macroeconomic indicators. Furthermore, Pyth introduced new data aggregation methods that deliver real-time market data with even lower latency and higher accuracy. This progress has positioned Pyth as the preferred choice for decentralized applications (dApps) seeking reliable and precise data across a wide range of blockchain ecosystems.