AI crypto research and analysis powered by CellCog. Token deep-dives, on-chain metrics, DeFi protocol breakdowns, wallet portfolio reviews, market sentiment,...
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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.
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"])
Deep dives into any token or project:
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."
Understand protocols before you ape in:
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."
Data-driven market understanding:
Manage your crypto positions:
Due diligence on new projects:
| 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 |
| Scenario | Recommended Mode |
|---|---|
| Quick price checks, simple token lookups, basic metrics | |
| Deep token analysis, DeFi research, ecosystem mapping, portfolio strategy | |
| Institutional due diligence, high-stakes portfolio decisions, regulatory analysis | |
Use
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."agent team"
Use
for quick lookups — current prices, basic metrics, or simple factual questions."agent"
Use
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."agent team max"
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?"
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.
Run
/cellcog-setup/cellcog:cellcog-setupclawhub install cellcogpip install -U cellcogCELLCOG_API_KEYNo automatic installation available. Please visit the source repository for installation instructions.
View Installation Instructions
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