Crypto Research

Crypto Research - Deep Research for a 24/7 Market

The market never sleeps, and neither does your analysis. #1 on DeepResearch Bench (Apr 2026) applied to crypto.

Crypto moves fast. Narratives shift overnight. New protocols launch daily. You need research depth that keeps pace with a market that never closes. CellCog brings the same deep reasoning that tops financial research benchmarks — now applied to tokens, DeFi, on-chain data, and the entire Web3 landscape. From degen plays to institutional due diligence, one prompt covers it all.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

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What Crypto Research You Can Do

Token Analysis

Deep dives into any token or project:

• Fundamental Analysis: "Analyze Solana — technology, ecosystem growth, validator economics, and competitive positioning vs Ethereum L2s"
• Tokenomics Review: "Break down Arbitrum's tokenomics — supply schedule, inflation, governance power, and value accrual mechanisms"
• New Token Research: "Research this new AI token that just launched — team, backers, tokenomics, red flags, and honest assessment"
• Comparative Analysis: "Compare L2 solutions: Arbitrum vs Optimism vs Base vs zkSync — TVL, transactions, developer activity, and token performance"

Example prompt:

"Create a comprehensive analysis of Ethereum's current state:

Cover:

• Network metrics: TVL, daily transactions, gas trends, staking ratio
• Post-merge economics: ETH supply dynamics, burn rate, is it deflationary?
• L2 ecosystem impact on mainnet revenue
• Competitor positioning vs Solana, Avalanche, Cosmos
• Key upcoming catalysts and risks
• Bull and bear thesis for the next 12 months

Deliver as an interactive HTML report with charts."

DeFi Protocol Research

Understand protocols before you ape in:

• Protocol Deep Dives: "Analyze Aave V3 — how it works, risk parameters, yield mechanics, and governance"
• Yield Analysis: "Compare yield opportunities across Lido, Rocket Pool, and Coinbase cbETH — risks, returns, and tradeoffs"
• Risk Assessment: "Evaluate the smart contract risk of this new DEX — audit status, TVL history, team background"
• Ecosystem Mapping: "Map the Cosmos ecosystem — key protocols, IBC activity, and where value is concentrating"

Example prompt:

"Research Uniswap V4:

• What's new vs V3? Hook system explained
• Impact on LP profitability
• Fee switch status and UNI token value accrual
• Volume and market share trends
• Competition from aggregators and new DEXes
• Developer adoption of the hooks framework

Clear, no-BS analysis. I want to understand if the upgrade actually matters."

On-Chain & Market Intelligence

Data-driven market understanding:

• Whale Tracking: "What are the largest ETH wallets doing this month? Accumulating or distributing?"
• Market Sentiment: "Analyze current crypto market sentiment — funding rates, Fear & Greed index, social activity, and exchange flows"
• Narrative Research: "What are the emerging crypto narratives for this quarter? AI tokens, RWA, DePIN — which have substance?"
• Exchange Analysis: "Compare DEX vs CEX volume trends over the last 6 months — is DeFi gaining share?"

Portfolio & Strategy

Manage your crypto positions:

• Portfolio Review: "Analyze my portfolio: 50% ETH, 20% SOL, 15% LINK, 10% ARB, 5% PEPE — diversification, risk, and rebalancing suggestions"
• Entry/Exit Strategy: "Help me think through an accumulation strategy for Bitcoin at current prices — DCA schedule, key levels, position sizing"
• Tax Optimization: "Research crypto tax strategies for US residents — harvest losses, long-term vs short-term, staking income treatment"
• Risk Management: "Design a risk framework for a $100K crypto portfolio — position sizing, stop losses, correlation analysis"

Whitepaper & Smart Contract Analysis

Due diligence on new projects:

• Whitepaper Review: "Analyze this project's whitepaper — is the technology feasible? Are the claims realistic? Red flags?"
• Smart Contract Evaluation: "Review the security profile of this protocol — audits, bug bounties, incident history, code quality indicators"
• Team Research: "Research the founding team of this new L1 — backgrounds, previous projects, VC backers, credibility assessment"
• Comparison Research: "This new protocol claims to be better than Aave. Analyze their claims vs reality."

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Output Formats

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Chat Mode for Crypto

Use "agent team" for most crypto research. The crypto space requires synthesizing information from many sources — protocol docs, on-chain data, market analysis, social sentiment. Agent team mode delivers the multi-source depth that serious crypto research demands.

Use "agent" for quick lookups — current prices, basic metrics, or simple factual questions.

Use "agent team max" for institutional-grade crypto work — fund-level due diligence, high-stakes portfolio rebalancing, regulatory compliance research, or any crypto analysis where significant capital is at risk. All settings maxed for the deepest reasoning. Requires ≥2,000 credits.

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Example Prompts

Token deep dive:

"Create a full research report on Chainlink (LINK):

• Oracle technology explained simply
• CCIP and its implications for cross-chain DeFi
• Staking economics — real yields, participation rate
• Competition: Pyth, API3, Band — does Chainlink's moat hold?
• Revenue model and path to sustainability
• Token price performance vs fundamentals

Honest assessment. I want to know both the bull case and what could go wrong."

DeFi yield research:

"Compare the best yield opportunities for stablecoins right now:

• Aave/Compound lending
• Curve/Convex liquidity provision
• Ethena sUSDe
• Sky (MakerDAO) savings rate
• RWA-backed yields

For each: current APY, risk level, lock-up requirements, smart contract risk, and minimum recommended allocation.

I have $50K in USDC. What's the optimal split for risk-adjusted yield?"

Market narrative analysis:

"Research the current state of AI tokens (TAO, RENDER, FET, NEAR, etc.):

• What's the actual thesis for AI x Crypto?
• Which projects have real usage vs pure narrative?
• On-chain metrics: users, transactions, revenue
• VC activity and funding in this sector
• Is this the next DeFi Summer or the next metaverse hype?

Give me the honest picture. I want signal, not hype."

Portfolio assessment:

"Review my crypto portfolio and help me optimize:

Holdings: 2 BTC, 15 ETH, 5000 SOL, 10000 LINK, 50000 ARB Total value: ~$300K Risk tolerance: Moderate (I can handle 30% drawdowns but not 70%) Time horizon: 2+ years

Analyze: concentration risk, correlation, sector exposure, and suggest rebalancing. Should I add any positions for better diversification?"

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Tips for Better Crypto Research

1. Be specific about what you need: "Analyze SOL" is broad. "Analyze Solana's network performance and validator economics post-Firedancer" is focused.

2. State your experience level: "I'm new to DeFi" vs "I understand impermanent loss" changes the depth of explanation.

3. Mention your purpose: "For a $10K investment decision" vs "For a research article" shapes the output.

4. Ask for honest assessments: CellCog doesn't shill. Explicitly asking "what could go wrong?" gets you balanced analysis.

5. Timeframe matters: "Next month" vs "next 2 years" leads to very different analysis.

6. Don't trust, verify: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.

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If CellCog is not installed

Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog OpenClaw: clawhub install cellcog CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.