> For the complete documentation index, see [llms.txt](https://docs.lazpad.fun/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lazpad.fun/powered-by-lazai-and-metis/first-integration-metis-andromeda.md). # First Integration: Metis Andromeda ### Metis: A Multi-Network Ecosystem Redefining Decentralized Infrastructure​ Metis is more than a Layer 2 - it is a multi-network ecosystem powered by the groundbreaking MetisSDK. Metis is building the future of decentralized infrastructure with a dual-network architecture: Andromeda for secure, general-purpose dApps and Hyperion for high-performance, AI-optimized execution. Both chains interoperate seamlessly, enabling builders to deploy scalable, efficient, and intelligent Web3 applications across sectors such as DeFi, gaming, DEPIN and AI. **Lazpad is currently deployed on Metis Andromeda.** ### What’s Andromeda? Andromeda​​ serves as the foundational optimistic rollup network within the Metis ecosystem, delivering scalable decentralized infrastructure with Ethereum-level security and enhanced throughput. Optimized for DeFi, gaming, and general-purpose applications, it leverages a decentralized sequencer network and fraud-proof mechanisms to prioritize reliability and proven execution over extreme performance. Its battle-tested architecture supports a growing ecosystem of protocols requiring robust security models. Andromeda will evolve alongside Hyperion, maintaining its core focus on secure general-purpose infrastructure. Key upgrades like on-chain data availability and fraud-proof refinements will advance its capabilities, with a roadmap targeting Stage 0 deployment soon and Stage 1 completion by year-end. As Metis’ cornerstone network, it remains the go-to solution for projects valuing decentralization (via full DSEQ nodes) and time-tested security frameworks. In the near future, Lazpad will also integrate to Metis Hyperion --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.lazpad.fun/powered-by-lazai-and-metis/first-integration-metis-andromeda.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.