# Oracle Data ## Harnessing the Power of te Pyth Network By integrating with the Pyth Network, Kwenta is catapulting to the forefront of the DeFi sector, leveraging unparalleled accuracy and timeliness in pricing data that enhance user experience significantly. Our partnership is not just an integration; it's a commitment to pushing the boundaries! ### Revolutionizing Price Updates with On-Demand Precision These aren't your grandma's PRICE FEEDS. Price feeds use lag behind real-time market conditions, Pyth Network introduced a groundbreaking on-demand price update mechanism. This approach is particularly beneficial during periods of high market volatility, allowing Kwenta users to access the most recent price data without delay. ### Strategic Alliance with Pyth Network * **Extensive Data Sources:** By tapping into a rich repository of financial data from nearly a hundred reputed first-party sources, Pyth ensures users receive data reliability. * **Precision with Sub-Second Aggregation:** New standard in data accuracy by aggregating price information several times every second, thanks to Pyth Network’s robust infrastructure. In our quest to deliver superior on-chain price information, Kwenta has chosen Pyth Network to power the Smart Margin v3 engine, highlighting our commitment to leveraging the best in technology for our users’ benefit. This partnership underscores our dedication to innovation and providing tailored support that meets Kwenta's unique requirements, ensuring our users enjoy a seamless and advanced DeFi experience. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.v3.kwenta.io/infrastructure-overview/oracle-data.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.