# 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.


---

# 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/1.-autonomous-ai-agent.md?ask=<question>
```

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.