Schema-first
Every ABO follows the same predictable structure. Your agent always knows what to expect.
Vexi started as a frustration. Every AI agent we built needed to know something about a business — who they are, what they do, how to reach them. And every time, we ended up writing the same scrapers, parsers, and normalization logic from scratch.
The web is full of business data. It's just not structured for machines. Agent frameworks like LangChain, CrewAI, and Claude give developers powerful tools to build intelligent systems — but the moment an agent needs to reason about a real business, it hits a wall of unstructured HTML, inconsistent formats, and missing context.
Vexi was built to fix that. We crawl the web, extract what matters, and return a clean, typed Agent Business Object — a single JSON document with everything an agent needs to understand and interact with a business. No parsing. No pipelines. One API call.
We're a small team shipping fast. The API is live, the schema is stable, and we're adding businesses every day. If you're building agents that need to know about the world, Vexi is the layer you've been missing.
Every ABO follows the same predictable structure. Your agent always knows what to expect.
Every response includes a completeness score and confidence level. We never pretend to know more than we do.
Cached responses under 200ms. On-demand crawl when you need fresh data. Designed to run inside agents, not alongside them.
Have a question, a use case, or just want to talk about agents? We'd love to hear from you.
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