Crypto Cog - 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"])

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."

Output Formats

| Format | Best For | |--------|----------| | Interactive HTML Dashboard | Token dashboards with charts, metrics, drill-downs | | PDF Report | Shareable research reports and investment memos | | XLSX Spreadsheet | Portfolio trackers, tokenomics models, yield comparisons | | Markdown | Quick analysis for integration into your notes |

Chat Mode for Crypto

| Scenario | Recommended Mode | |----------|------------------| | Quick price checks, simple token lookups, basic metrics | "agent" | | Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | "agent team" | | Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | "agent team max" |

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.

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?"

Tips for Better Crypto Research

Be specific about what you need: "Analyze SOL" is broad. "Analyze Solana's network performance and validator economics post-Firedancer" is focused.
State your experience level: "I'm new to DeFi" vs "I understand impermanent loss" changes the depth of explanation.
Mention your purpose: "For a $10K investment decision" vs "For a research article" shapes the output.
Ask for honest assessments: CellCog doesn't shill. Explicitly asking "what could go wrong?" gets you balanced analysis.
Timeframe matters: "Next month" vs "next 2 years" leads to very different analysis.
Don't trust, verify: Use CellCog's research as a starting point. Always verify on-chain data with primary sources before making financial decisions.

If CellCog is not installed

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.