Gemma prompt guide
Gemma Agent Documentation
Overview
Gemma is an advanced AI-powered research agent designed to analyze social sentiment, raw chat data, and blockchain analytics across major crypto ecosystems. Gemma provides insights into trending discussions, protocol metrics, and historical changes, making it an essential tool for crypto traders, researchers, and analysts.
Key Features
Social Sentiment Analysis
Gemma can analyze sentiment across crypto social channels, including Telegram, Discord, and Twitter, allowing users to track trends and community discussions.
Usage Example: What’s the sentiment in "wagmi" "chats" in the last "7 days"?
How It Works:
Source: Specify where to analyze (chats, socials, docs).
Project: Indicate the project name (e.g., wagmi).
Timeframe: Define the analysis period (e.g., last 7 days).
Advanced Data Mining
Gemma has real-time access to raw social data, enabling deep-dive research. Users can extract specific messages, links, and discussions from Telegram or other platforms.
Usage Examples:
Extract messages from user "@john_doe" in "wagmi" Telegram in the last "7 days".
Show all links posted in "wagmi" Discord in the last "24 hours".
Key Capabilities:
User-Specific Data: Filter messages by a particular user.
Timeframe Filtering: Narrow down results to a specific period.
Link Extraction: Retrieve all external links shared in chats.
DeFi Protocol Metrics
Gemma integrates with external data providers to track TVL (Total Value Locked), fees, and historical trends across major blockchains and DeFi protocols.
TVL Tracking
What is the TVL of Wagmi on Sonic?
What is the 7-day change in TVL of Sonic blockchain?
Key Capabilities:
Per-Protocol TVL: Track TVL for a specific protocol (e.g., Wagmi).
Blockchain-Level TVL: Get aggregated TVL data for an entire chain (e.g., Sonic).
Fee & Revenue Analysis
How much fees did Aave generate on Ethereum in the last 7 days?
Key Capabilities:
Protocol Fees: Retrieve revenue and fees generated by DeFi protocols.
Historical Changes: Analyze fee trends over a selected timeframe.
Data Accuracy & Freshness
Gemma’s data is updated in real-time, ensuring fresh insights.
Always define the timeframe for accurate research.
Be specific about the source (chats, socials, docs) when analyzing sentiment.
Getting Started
Start leveraging Gemma today for deeper insights into crypto trends, community sentiment, and DeFi metrics!
Example Queries:
What’s the sentiment in "wagmi" "socials" in the last "3 days"?
What is the TVL of Wagmi on Sonic?
Extract messages from user "@john_doe" in "wagmi" Telegram in the last "7 days".
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