# AI tokens: AGIX & RNDR on Tokenlon **AGIX** Supported pairs: AGIX / ETH, AGIX / USDT Contract address: 0x5B7533812759B45C2B44C19e320ba2cD2681b542 SingularityNET is a [blockchain-powered](https://coinmarketcap.com/alexandria/glossary/blockchain) platform that allows anybody to easily "create, share, and monetize" AI services, thanks to its globally-accessible AI marketplace. Through the SingularityNET marketplace, users can browse, test and purchase a huge variety of AI services using the platform’s native utility token — AGIX. Moreover, the marketplace represents an outlet AI developers can use to publish and sell their AI tools, and easily track their performance. The team behind SingularityNET pioneered the development of an AI known as Sophia, which is described as the "world's most expressive robot". SingularityNET’s goal is to enable Sophia to be able to fully understand human language, and continue developing “OpenCog” — an AI framework that is hoped to eventually achieve a state known as “advanced general intelligence,” i.e. human-level artificial intelligence (or beyond). **RNDR** Supported pairs: RNDR / ETH, RNDR // USDT Contract address: 0x6de037ef9ad2725eb40118bb1702ebb27e4aeb24 [RenderToken](https://rendertoken.com/) (RNDR) is a distributed GPU rendering network built on top of the Ethereum blockchain, aiming to connect artists and studios in need of GPU compute power with mining partners willing to rent their GPU capabilities out. Conceived in 2009 by OTOY, inc. --- # 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://tokenlon.gitbook.io/docs/docs.en/blog/whatsnew/tokenlisting/ai-tokens-agix-and-rndr-on-tokenlon.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.