> For the complete documentation index, see [llms.txt](https://aixbet.gitbook.io/aixbet-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aixbet.gitbook.io/aixbet-docs/core-products/1.-autonomous-ai-agent.md).

# 1. Autonomous AI Agent

The backbone of AIxBET is our **multi-layered AI system**, trained to continuously scan, learn, and execute trades across prediction markets with **70%+ proven win-rate accuracy**. Built on advanced machine learning pipelines, the agent integrates multiple data verticals to generate high-confidence signals and execute trades without human input.

**Core Data Feeds & Intelligence Sources**

* **On-Chain Data**
  * Tracks real-time wallet activity and transaction flows on Ethereum, Base, and other L2 networks.
  * Analyzes liquidity inflows, staking/unstaking patterns, and wallet clustering to identify **high-signal actors**.
* **Prediction Market APIs**
  * Direct integration with Polymarket and other platforms to monitor market odds, volume shifts, and open interest.
  * AI interprets order book dynamics to detect **asymmetric opportunities** and identify mispriced markets.
* **Social Media & Search Engine Data**
  * Real-time scraping of X (Twitter), Reddit, Telegram, and Google Trends.
  * Natural Language Processing (NLP) models measure sentiment, keyword spikes, and narrative momentum, feeding into predictive confidence scores.
* **Smart Money Behavior**
  * Identifies top-performing wallets and systematically tracks their bet history, risk sizing, and allocation patterns.
  * Uses **behavioral clustering** to model “smart money archetypes” and predict their next moves.

**AI-Driven Execution Layer**

* **Autonomous Decision-Making**
  * Combines all data feeds into **reinforced decision models** that optimize for probability, risk-adjusted return, and capital preservation.
  * Executes trades on-chain directly via smart contracts, **without human intervention**, ensuring **24/7 operation**.
  * Continuously re-trains itself, learning from past wins/losses to refine its edge in real time.
