# Core Products AIxBET is built around a **unified ecosystem of products** designed to make autonomous betting seamless, profitable, and transparent. Each product plays a distinct role, but together they create a **self-reinforcing loop** where AI performance drives user profits and strengthens the ecosystem. *** #### **1. Autonomous AI Agent** The core engine of AIxBET. Our AI agent continuously scans prediction markets and executes trades 24/7 using adaptive models and smart money flows. It’s the foundation that powers everything else. *** #### **2. Smart Money Terminal** The intelligence layer that transforms AI output into actionable tools for users. * **Analytics** – Market insights and advanced odds tracking. * **Betting Signals** – Real-time AI-backed trade recommendations. * **PnL Tracker** – Transparent performance tracking. * **Alerts** – Instant notifications on new opportunities. * **Copy Trade** – One-click mirroring of AIxBET trades. *** #### **3. Alpha Pool** A collective staking pool managed by the AI agent. Users stake capital, and the agent executes trades on their behalf. Designed for **higher-risk, higher-reward** strategies with transparent results. *** #### **4. Profit Sharing Mechanism** The reward system that aligns incentives. Profits generated by AIxBET are shared back with stakers and token holders through stablecoin payouts and token buybacks, creating a sustainable and community-driven model. *** **In short:**\ AIxBET’s ecosystem flows from **Autonomous AI Agents → Smart Money Tools → Alpha Pools → Profit Sharing**, creating a transparent, profitable cycle where **AI and community grow together**. --- # 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://aixbet.gitbook.io/aixbet-docs/core-products.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.