# Beyond Agents While agents are the central focus of AgentFi, building a vibrant ecosystem around the agents is equally important. Here's a glimpse into our ecosystem beyond agents: **Agent Builder:** A low code solution enabling creation of new types of agents. The **Agent Builder** is a developer's entrypoint into the AgentFi ecosystem. While we at AgentFi try to create the most in-demand agents, we know the community has more imagination and ideas than we ever could. So Agent Builder empowers our community and partners to create and deploy their own strategies, rewarding their innovation with a revenue share, driving a collaborative ecosystem. **Agent Marketplace:** A specialized platform for trading AI agents. The **Agent Marketplace** is the next generation of NFT marketplaces, where the value of an NFT is not just based on the rarity of traits or design, but also based on its track record of on-chain activities. This marketplace enables the trading of our AI Agents based on their transaction history, engagement with DeFi protocols, milestones achieved in on-chain games, etc. It’s designed to be user friendly with customizable filtering and sorting options. **Agent Analysoor:** An analytical tool offering insights into each agent. The **Agent Analysoor** is the perfect companion to the Marketplace, providing advanced comprehensive analysis of AI Agents. It provides a dynamic valuation system based on the agents’ historical activities, and a breakdown of the contributing factors. The Analysoor provides the necessary transparency and benchmark required for the tracking and trading of Agents. --- # 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.agentfi.io/product-roadmap/beyond-agents.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.