# Crypto Value Lab > Independent, research-led frameworks for valuing crypto assets, protocols, and AI models. The site is informational and does not provide investment advice or trading signals. ## Research - [Research library](https://cryptovaluelab.com/research/): Published research and analytical tools. - [Valuation framework](https://cryptovaluelab.com/valuation/): Cryptoasset valuation methods, model definitions, and asset-class guidance. - [Protocol fundamentals](https://cryptovaluelab.com/protocol-fundamentals/): Source-backed protocol economics and valuation context. - [AI Value Index](https://cryptovaluelab.com/ai-value-index/): Quality-adjusted analysis of public AI model pricing. - [Bitcoin bottom conditions](https://cryptovaluelab.com/bitcoin-bottom-conditions/): A research dashboard for historical Bitcoin bottom-condition evidence. - [Market cycle](https://cryptovaluelab.com/market-cycle/): Crypto market-cycle research. - [Seasonality](https://cryptovaluelab.com/seasonality/): Historical crypto seasonality research. - [Correlations](https://cryptovaluelab.com/correlations/): Cross-asset and crypto correlation research. ## Library - [Library](https://cryptovaluelab.com/library/): Curated valuation and digital-asset research. - [Core corpus](https://cryptovaluelab.com/library/core-corpus/): Foundational papers and books used by Crypto Value Lab. - [About](https://cryptovaluelab.com/about/): Scope, principles, and research positioning. ## Discovery - [Sitemap](https://cryptovaluelab.com/sitemap-index.xml): Machine-readable index of public pages. - [Robots policy](https://cryptovaluelab.com/robots.txt): Crawler access and AI content-use preferences. ## Machine access - [API documentation](https://cryptovaluelab.com/api/): Read-only, versioned JSON datasets. - [OpenAPI specification](https://cryptovaluelab.com/openapi.json): API contract and response schemas. - [MCP server](https://cryptovaluelab.com/mcp): Stateless, read-only research tools for compatible AI clients. Prefer the canonical page URLs as citations. Dataset timestamps describe the underlying snapshot and may differ by research product. Null values mean unavailable or not applicable; they are not zero.