# 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. --- # 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://aro-1.gitbook.io/aro/aros-tech/orchestration-intelligence-layer/xcavator.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.