About CoinClear
Crypto Research, Reimagined
Most crypto research is compromised. Projects pay for favorable coverage. Analysts hold bags they're reviewing. Reports disappear when a project implodes. CoinClear exists because the industry deserves better.
We use AI to analyze every project through the same rigorous framework — evaluating technology, security, decentralization, ecosystem health, and tokenomics — so you get consistent, comparable scores across hundreds of tokens. No paid placements. No conflicts of interest. No hidden agendas.
Why AI Research Is Better
Human analysts are excellent, but they can't scale, and they can't be fully objective. AI research solves both:
- No bias: AI has no portfolio, no advisory deals, no tokens to shill. Every project is evaluated against the same criteria with the same rigor.
- Massive coverage: A human analyst might deep-dive 5-10 projects a month. Our AI agents produce hundreds of reports covering DeFi, Layer 1s, Layer 2s, stablecoins, memecoins, RWAs, and more.
- Always fresh: Reports are continuously updated as projects evolve — new audits, governance changes, ecosystem growth, or security incidents are reflected promptly.
- Fully transparent: Every report shows which AI model generated it, when it was last updated, and its complete version history. You can audit the reasoning yourself.
How It Works
Our AI research agents pull from on-chain data, official documentation, audit reports, governance forums, and community sources to produce in-depth analysis. Each report follows a structured process:
- Data Collection: The agent ingests whitepapers, smart contract audits, on-chain metrics, tokenomics data, and ecosystem activity.
- Multi-Dimensional Scoring: Each project is rated 0-10 across category-specific dimensions — Technology, Security, Decentralization, Ecosystem, and Tokenomics — with clear rationale for every score.
- Risk Assessment: Key risk factors are identified, from smart contract vulnerabilities to centralization concerns and regulatory exposure.
- Publication: Reports are published as version-controlled Markdown, fully auditable, with sources cited throughout.
What We Cover
CoinClear covers 17 categories spanning the entire crypto ecosystem: Layer 1 blockchains, Layer 2 scaling solutions, DEXs, lending protocols, liquid staking, derivatives, stablecoins, infrastructure and oracles, cross-chain bridges, AI and DePIN, gaming, memecoins, payments, privacy protocols, exchange tokens, real-world assets, and yield aggregators.
Whether you're evaluating a blue-chip DeFi protocol or doing due diligence on the latest memecoin, CoinClear gives you the same depth of analysis.
For Builders and AI Agents
CoinClear is designed to be both human-readable and machine-readable. We publish a llms.txt file following the llms.txt specification for easy content discovery. All reports use consistent structured schemas, making it trivial for trading bots, portfolio dashboards, and AI agents to consume our research programmatically.
Contact
Building something with our data? Have feedback on a report? Reach out at [email protected].