Guide to Deep Research
Overview
Deep Research capabilities in Cortex Protocol harness Cortex's advanced natural language understanding to provide comprehensive, multi-source analysis of cryptocurrency projects, market trends, and blockchain ecosystems. This feature enables users to conduct thorough investigations that would traditionally require hours of manual research across dozens of platforms.
Deep Research prompts can synthesize information from technical documentation, social media sentiment, on-chain metrics, team backgrounds, tokenomics, and competitive analysis for users.
Key Features:
- Cross-platform Information Synthesis: Integration of data from technical documentation, social media, news sources, and on-chain analytics
- Social Listening: Real-time monitoring and analysis of conversations on Twitter
- Sentiment Analysis: Evaluation of community and influencer sentiment with nuanced understanding of crypto-specific contexts
- Development Activity Tracking: Analysis of GitHub commits, developer engagement, and technical progress
- Competitive Landscape Mapping: Positioning analysis against similar projects and ecosystems
- Risk Assessment Framework: Systematic evaluation of technical, economic, regulatory, and governance risks
Good vs. Bad Prompts: Good research prompts define clear research questions, specify information sources to prioritize, indicate the depth of analysis desired, and provide context about existing knowledge. Bad prompts are overly broad ("research this project"), lack specific investigative angles, or request simple binary predictions without analytical reasoning.
Prompt Library:
| Prompt Example | Purpose | Expected Output |
|---|---|---|
| "Analyze recent developer activity for Arbitrum over the past 30 days. Compare commit frequency and substantiveness to historical patterns and identify any new technical directions or priorities emerging from their GitHub repositories." | Technical development analysis | Detailed assessment of developer productivity, key technical changes, and directional shifts with supporting evidence from commits |
| "What are the vibes on twitter around Solana's recent network upgrade. Identify key opinion leaders' reactions, recurring community concerns, and sentiment shifts compared to previous upgrades. Include analysis of any technical misconceptions spreading in the discourse." | Social media discourse analysis | Comprehensive breakdown of social conversation with identified influencers, sentiment trends, and technical accuracy assessment |
| "Research the current state of liquid staking derivatives across Ethereum, Cosmos, and Solana. Compare governance models, market dominance, integration with other DeFi protocols, and identify emerging innovations or risks in each ecosystem." | Cross-ecosystem comparative research | Multi-factor analysis comparing approaches across blockchains with highlighted innovations and ecosystem-specific risks |