InfraBase.ai is a directory of AI infrastructure tools, listing tools such as inference APIs, vector databases, and observability, for developers and teams building AI applications.
InfraBase.ai acts as a directory of AI infrastructure: inference APIs, vector databases, agent frameworks, observability tools, the things you assemble around a model. 369 products, each one written up by hand. The directory is slower and smaller because listings are verified from primary sources, not scraped. The author runs it independently from Sweden.
Listings are created by a human: a person reads every product before it appears here. Pricing, HQ country, GDPR status, licence and what the product actually does are checked against the vendor's own site, not search results. Anything not confirmed is left out. Prices and details can still change over time and corrections are possible via an edit link on each product page.
There is no ranking or editorial “best” list. The comparison pages place sourced details next to each other and stop there. The data is available via a JSON endpoint for programs: the directory is queryable at /api/query without a key or signup.
The directory offers a snapshot of sources and data availability: the endpoint docs list every parameter; agents.md covers how to filter when needed, and the same data can be accessed via an MCP server for clients that connect over MCP instead of HTTP. The data publicly accessible under CC-BY-4.0 allows reuse with attribution.
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