# Integrations & Standards ### NFT Formats Initially, ASM NFTs may be minted using the ERC-1155 token standard. Such NFTs are specifically for gaming and enable more efficient trade and transfer on the Ethereum network than is possible through ERC-721 alternatives. Multiple NFT formats will be integrated with ASM over time, and made interoperable in the network. ### Randomness Generation Fair, verifiable randomness is a critical function in applications that are competitive or offer rarity characteristics. CHAINLINK RNG (Random Number Generator) and VRF (Verified Randomness Function) can be used to provide randomness both in game mechanics (such as a coin toss for where the ball starts) and in minting mechanics for rare attributes associated with the NFTs. The Chainlink oracle network can also be used to enable the NFTs to have dynamic attributes which build up during use. ### Decentralised Messaging SYLO protocol, an ecosystem made up of digital consumer wallet software, applications, infrastructure & developer tools, can be used for in-game chat and marketplace chat as well as for NFT wallets. ### Decentralized Storage Decentralised file storage protocols can be used for storing the memories (ML models) associated with an NFT and ensuring the brain in a game is using the correct NFT. ### Game Engines UNITY has been used for the ASM PoC game engine, and is integrated. Over time, ASM will integrate with all major game engines and worlds, either via custom integration or open integration, where a 3rd-party developer uses ASM Open APIs to call the ASM network, paying in ASTO for access. --- # 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://whitepaper.alteredstatemachine.xyz/technology/components-and-standards.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.