Twitter Sentiment Analysis
Analyze the community sentiment for any Solana memecoin with the Trenchrecon AI agent’s Twitter Sentiment Tool. This feature leverages real-time posts from X (formerly Twitter) and advanced AI to provide:
✅ A trustworthiness score 🧠 A concise sentiment summary 📉 Insight into the social reputation and risk profile of any token
🛠️ How to Use
Send a message like:
⚙️ What It Does
🔍 Scans recent posts on X mentioning the token’s mint address 🧠 Analyzes sentiment using xAI Grok (advanced LLM) 📊 Scores trustworthiness from -1 (scam) to 1 (trustworthy) 📈 Summarizes key trends — scams, hype, volume, etc. 🗝️ Highlights 5 impactful posts influencing the score 👥 Counts & evaluates user diversity ⚠️ Flags limitations — low activity or echo chamber signals
🧪 Example Output
🧩 Combining with the Graduated Tokens Tool
Maximize your research power by combining the Twitter Sentiment Analysis with the Graduated Tokens tool. This gives you a real-time view of newly graduated tokens on Solana and lets you instantly assess their social credibility.
🔁 Workflow Example
👤 User:
"Can you show me some graduated tokens?"
🤖 Trenchrecon: Returns a list of newly graduated tokens with key metrics:
👤 User:
"Which of those seem more trustworthy on Twitter?"
🤖 Trenchrecon: Returns Twitter sentiment reports:
🧠 Why Combine Them?
✅ Graduated Tokens Tool shows what’s new and trending on-chain ✅ Twitter Sentiment Tool reveals what the community is saying off-chain Together, they provide:
A quick way to prioritize promising tokens
Early warnings for potential scams or bot-driven hype
A multi-angle view of momentum vs. risk
💬 Pro Tip: After getting a Graduated Tokens list, just say:
"Run sentiment analysis on these tokens" ...and Trenchrecon will do the rest! 🧠⚙️
🧠 Interpreting the Trustworthiness Score
🔴 -1 (Scam): Dominated by fraud reports, scam alerts, and red flags
⚪ 0 (Neutral): Mixed messages, low volume, or unclear intent
🟢 1 (Trustworthy): Widespread praise, endorsements, and strong trust signals
Key Factors:
High scores = engaged, positive, diverse community
Low scores = warnings, bots, echo chambers, or poor engagement
✅ Recommendations
🔵 Score: 0.5 to 1.0 — Community is bullish
Still check for bot activity, hype cycles, or too-good-to-be-true claims
🟡 Score: -0.4 to 0.4 — Proceed with caution
Look for more data, additional sources, or longer-term sentiment trends
🔴 Score: -1.0 to -0.5 — Major red flags
Likely scams or FUD; investigate before engaging
🔍 Data Transparency
🟦 Based on real-time, public X (Twitter) posts
🧮 Scores aren't influenced by follower count — just insight value
📉 Low activity = neutral score (due to insufficient signal diversity)
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