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{ | ||
"pages": ["pyth-core", "pyth-token", "express-relay", "entropy"] | ||
"pages": [ | ||
"pyth-core", | ||
"lazer", | ||
"express-relay", | ||
"entropy", | ||
"whitepaper", | ||
"security" | ||
] | ||
} |
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--- | ||
title: Security | ||
description: Information about Pyth Network security audits and bug bounty program. | ||
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The Pyth software has undergone a number of audits from different firms. | ||
All of the audit reports are available in the [audits github repository](https://github.com/pyth-network/audit-reports). | ||
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Pyth Network also offers a [bug bounty program](https://pyth.network/bounty) for reports of issues with the deployed code. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. bug bounty link is broken in the original docs as well. Asked for the correct link. |
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Please visit the linked page for terms and conditions. |
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--- | ||
title: Whitepaper | ||
description: The official Pyth Network whitepaper outlining the protocol design, architecture, and economic model. | ||
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Growth in DeFi requires high-fidelity, time-sensitive, real-world data, direct from the source and made available on any L1 blockchain. Financial market data, however, is often accessible to only a limited set of institutions and users. Traditional markets typically maintain strict control over and access to both live and historical price feeds. Consequently, only a selected group of users has access to the most timely, accurate, and valuable information. | ||
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The Pyth network is a next-generation oracle solution that aims to bring this valuable financial market data to the general public. The network does so by incentivizing market participants — trading firms, market makers, and exchanges — to share directly on-chain the price data collected as part of their existing operations. Pyth's data providers include some of the largest **traders**, **exchanges**, and **financial services** players who create unique high quality market data. This includes real world market data in **equities**, **fx, crypto, and metals with ambitions to scale across asset classes**. Data publishers include [GTS](https://pythnetwork.medium.com/new-pyth-data-provider-gts-555c4d0e362b), Jane Street, Hudson River Trading, [LMAX](https://pythnetwork.medium.com/new-pyth-data-provider-lmax-dd05264d1a16), [Virtu](https://pythnetwork.medium.com/new-pyth-data-provider-virtu-financial-ed09143f44d5), [BSX](https://pythnetwork.medium.com/new-pyth-data-provider-the-bermuda-stock-exchange-ccf3c04bd430), [CTC](https://pythnetwork.medium.com/new-pyth-data-provider-chicago-trading-company-64a457340443), and [many more](https://pyth.network/publishers/). | ||
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The [Pyth Network Whitepaper](https://pyth.network/whitepaper) describes the mechanisms powering the protocol. | ||
The whitepaper was last updated in September 2023. |
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may change with the home page