> For the complete documentation index, see [llms.txt](https://aro-1.gitbook.io/aro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aro-1.gitbook.io/aro/aros-tech/orchestration-intelligence-layer/xcavator.md).

# Xcavator

The **Xcavator** enables ARO to extract real-time insights from **Twitter (X)** by identifying trending topics, monitoring project mentions, and analyzing sentiment dynamics. This tool is designed to track how cryptocurrency-related discussions evolve over time, providing actionable intelligence on **market sentiment, social engagement, and emerging narratives**.

#### **Features**

* **Trending Topic Extraction** – Identifies frequently mentioned tokens, hashtags, and discussions in the crypto community.
* **Project-Specific Monitoring** – Tracks mentions and engagement metrics related to specific assets, DeFi projects, and protocols.
* **Sentiment Analysis** – Uses **natural language processing (NLP) models** to classify sentiment as **positive, neutral, or negative** based on historical trends.
* **Engagement Metrics** – Analyzes tweet volume, retweets, likes, and influencer interactions to assess social impact.
* **Historical Sentiment Trends** – Stores and compares past sentiment data to identify long-term shifts in market perception.