The Injective Test Network integrates with the Python Network, allowing developers to build DApps to access agency data
On March 22, it was announced that the Cosmos ecological smart contract platform Injective Test Network integrated with the Python Network, allowing developers to build DApps to access high-fidelity and high-frequency market data for various assets. This is the first time Python data supports the Cosmos ecosystem. Python Network introduces an innovative on-demand pull model oracle that allows users to push available prices onto the chain when needed, and enables everyone in the blockchain environment to access the data point. Python runs on Injective and is implemented by Wormhole. Publishers can send data directly to Python in the form of transactions, and then place these data assets on the chain. When a target chain (such as Injective) requests data, Python can send data through Wormhole.
Interpretation of this information:
On March 22, the Cosmos ecosystem’s Injective Test Network integrated with the Python Network, allowing developers to build DApps with access to high-quality market data for a wide range of assets. It’s noteworthy, as it is the first time Python data is supporting the Cosmos ecosystem. Python Network brings a novel on-demand pull model oracle, which enables users to push prices onto the chain when required, allowing everyone on the blockchain to access the data. This integration means that publishers can send data in transaction form directly to Python and place data assets on the chain. When a destination chain, such as Injective, requests data, Python can deliver the data via Wormhole.
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