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Guide to Deep Research

Overview​

The Cortex Deep Research Agent transforms crypto research from hours of manual work into comprehensive, actionable intelligence delivered through conversation. By synthesizing information from multiple sources - including web content, social media, on-chain data, and technical documentation - it provides institutional-grade research capabilities to every user.

Deep Research Capabilities​

Multi-Source Intelligence​

The Deep Research Agent automatically:

  • Searches across the web for relevant information
  • Synthesizes findings from multiple sources
  • Identifies knowledge gaps and fills them
  • Provides citations for all claims
  • Answers follow-up questions with context awareness

Research Domains​

Protocol & Token Analysis​

Comprehensive evaluation of crypto projects:

  • Fundamental Analysis: Tokenomics, utility, distribution, vesting schedules
  • Technical Architecture: Consensus mechanisms, scalability solutions, security models
  • Team & Governance: Background checks, DAO structure, decision-making processes
  • Competitive Positioning: Market share, unique value propositions, moats
  • Risk Assessment: Technical, economic, regulatory, and execution risks

Ecosystem Research​

Understanding broader crypto landscapes:

  • Layer 1 Comparisons: "Compare Ethereum, Solana, and Avalanche ecosystems"
  • DeFi Protocol Analysis: "Research lending protocols on Arbitrum"
  • Sector Deep Dives: "Analyze the state of crypto gaming in 2025"
  • Narrative Tracking: "What's driving the AI agent token trend?"

Market & Trading Research​

Intelligence for better trading decisions:

  • Token Launch Analysis: "Research the upcoming EIGEN token launch"
  • Catalyst Identification: "What events could impact ETH price this month?"
  • Whale Behavior: "Analyze large holder movements in HYPE"
  • Correlation Studies: "How do L2 tokens correlate with ETH?"

Research Workflow Examples​

New Token Investigation​

User: "Deep research on the VIRTUAL token"
Cortex: I'll conduct comprehensive research on VIRTUAL. Let me search for information about this token...

[Searches multiple sources]

Here's my comprehensive analysis of VIRTUAL:

**Overview**: VIRTUAL is the governance token of Virtuals Protocol, an AI agent launchpad on Base...

**Tokenomics**:
- Total Supply: 1 billion tokens
- Current Circulation: 850M (85%)
- Vesting: Team tokens unlock over 2 years
- Revenue Share: 1% of all agent fees to stakers

**Key Strengths**:
1. First-mover in AI agent infrastructure
2. Strong revenue model from agent fees
3. Active developer ecosystem
[continues with detailed analysis...]

Hyperliquid Ecosystem Deep Dive​

User: "Research the Hyperliquid ecosystem - what's being built there?"
Cortex: I'll research the Hyperliquid ecosystem comprehensively...

[Extensive research process]

**Hyperliquid Ecosystem Analysis**:

**Core Infrastructure**:
- HyperEVM: EVM-compatible L1 with 0.2s block times
- Native perpetuals exchange with $3B+ daily volume
- HYPE token for staking and governance

**Key Projects Building**:
1. **HyperLend**: Native lending protocol
2. **Catalyst**: Liquid staking for HYPE
3. **Thunder**: Decentralized options protocol
[detailed project analysis...]

**Growth Metrics**:
- 150+ projects in development
- $500M+ TVL across protocols
- 50,000+ daily active traders

Sector Comparison Research​

User: "Compare different L2 solutions - which has the best tech and adoption?"
Cortex: I'll analyze major L2 solutions across technical and adoption metrics...

[Comprehensive comparison research]

**L2 Comparison Analysis**:

**Technical Architecture**:
| L2 | Type | TPS | Finality | Data Availability |
|----|------|-----|----------|------------------|
| Arbitrum | Optimistic | 40,000 | 7 days | Ethereum |
| Optimism | Optimistic | 2,000 | 7 days | Ethereum |
| Base | Optimistic | 2,000 | 7 days | Ethereum |
| zkSync | ZK Rollup | 20,000 | Hours | Ethereum |
| Polygon zkEVM | ZK Rollup | 2,000 | Hours | Ethereum |

[Continues with adoption metrics, ecosystem analysis, pros/cons...]

Advanced Research Features​

Social Sentiment Analysis​

Track real community sentiment:

  • Twitter/X Analysis: "What's crypto Twitter saying about BEAM?"
  • Community Health: "Analyze the Arbitrum community engagement"
  • Influencer Tracking: "Which KOLs are talking about Hyperliquid?"
  • FUD Detection: "Is there coordinated FUD against this project?"

Technical Due Diligence​

For the technically inclined:

  • Smart Contract Review: "Analyze the security of this protocol"
  • GitHub Activity: "How active is Optimism's development?"
  • Architecture Comparison: "Compare zkSync vs StarkNet technically"
  • Upgrade Analysis: "What changes in the upcoming Ethereum upgrade?"

Investment Research​

Institutional-grade analysis:

  • Valuation Models: "Value analysis of L1 tokens by TVL"
  • Sector Rotation: "Which crypto sectors are gaining momentum?"
  • Unlock Analysis: "Major token unlocks in the next 30 days"
  • Funding Rounds: "Recent raises in crypto infrastructure"

Research Best Practices​

Effective Research Queries​

Be Specific About Goals:

  • ❌ "Research MAGIC token"
  • ✅ "Research MAGIC token focusing on gaming ecosystem adoption and revenue model"

Set Clear Scope:

  • ❌ "Tell me about DeFi"
  • ✅ "Compare top 5 DeFi protocols by TVL on Ethereum L2s"

Request Actionable Insights:

  • ❌ "Is this token good?"
  • ✅ "Analyze risk/reward for VIRTUAL token given current valuation"

Research Depth Levels​

Quick Overview (1-2 min): "Give me a quick overview of the HYPE token"

Standard Research (5-10 min): "Research Hyperliquid's competitive position vs other perps platforms"

Deep Dive (15-30 min): "Comprehensive analysis of Ethereum L2 ecosystem including technical trade-offs, adoption metrics, and future roadmaps"

Follow-Up Questions​

The agent maintains context for deeper exploration:

User: "Research the Blur token"
Cortex: [Provides comprehensive BLUR analysis]

User: "How does their fee model compare to OpenSea?"
Cortex: [Detailed fee comparison with context from previous research]

User: "What about wash trading concerns?"
Cortex: [Addresses specific concern with relevant data]

Integration with Other Features​

Research to Action​

Seamlessly move from research to execution:

User: "Research yield opportunities for ETH"
Cortex: [Comprehensive yield analysis across protocols]

User: "I like the Pendle option - help me enter that position"
Cortex: I'll help you stake ETH in Pendle. First, let me check your balances...

Research-Driven Trading​

Combine research with trading strategies:

User: "Research momentum in AI tokens then help me build a position"
Cortex: [Analyzes AI token sector momentum]
Based on the research, VIRTUAL and AGENT show strongest momentum...

User: "Create a diversified position in top 3"
Cortex: I'll help you build positions in VIRTUAL, AGENT, and AI16Z...

Tips for Power Users​

  1. Layer Your Research: Start broad, then narrow based on findings
  2. Cross-Reference: Ask for multiple perspectives on controversial topics
  3. Time-Box Analysis: "Research X focusing on developments in last 30 days"
  4. Competitive Intel: Always ask "who are the competitors and how do they compare?"
  5. Risk Focus: End research with "what are the main risks I should monitor?"

The Deep Research Agent is your institutional-grade research department, accessible through simple conversation. From quick token lookups to comprehensive sector analysis, it delivers the intelligence you need to make informed decisions in crypto.