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This repository was archived by the owner on Aug 21, 2024. It is now read-only.
remove image title & fix kpi links directory (#21)
* add metrics to summary
* update typo
* add subpages to Pyth KPI
* remove image title in kpi
* remove image title dune and pub metrics
* edit # of pub in intro
* fix kpi links
Copy file name to clipboardExpand all lines: README.md
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# Introduction
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Pyth Network is an oracle that publishes financial market data to multiple blockchains.
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Our market data is contributed by over 50[first-party publishers](https://pyth.network/publishers/), including some of the biggest exchanges and market making firms in the world.
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Our market data is contributed by over 60[first-party publishers](https://pyth.network/publishers/), including some of the biggest exchanges and market making firms in the world.
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We offer price feeds for a number of different asset classes, including [US equities, commodities, and cryptocurrencies](https://pyth.network/price-feeds/).
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Each price feed publishes a [robust aggregate](how-pyth-works/price-aggregation.md) of publisher prices that updates multiple times per second.
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This table returns all Pyth price accounts that received at least one publisher price update in the past week, the number of active publishers that contributed to it, as well as the total count of price updates provided by all publishers.
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*The Crypto.USDT/USD price feed saw 14 different publishers submitting at least one price update in the past week. In total, these 14 publishers submitted 8.3M distinct price updates on the USDT/USD price feed.*
This pie chart displays the share of each publisher total price updates provided to the Pyth network price feeds for the past week.
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*JTmFx5zX9mM94itfk2nQcJnQQDPjcv4UPD7SYj6xDCV provided about 17.8% (74.2M individual updates) of all the single price updates submitted by the Pyth network publishers.*
This bar chart displays the last 30 days’ daily SOL consumption from all the publishers providing data to the network.
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*A trend increase in fees could come from: (1) more publishers, (2) more price feeds, and (3) a better uptime/slot hit rate (which is also correlated to Solana TPS performance).*
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**Past 1M Fees By Publisher — Pyth Oracle Daily Fees In SOL By Publisher (1M)**
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This line chart displays the evolution of how many distinct on-chain programs have interacted and called any of the Pyth price feeds in the last month.
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**Past 1M Consumers Ix Count — Pyth Oracle Daily Consumer Ix Count By Program (1M)**
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