Why We Built Context API: Because Your AI Needs Facts, Not Vibes
As an AI developer, you’ve probably hit the same wall we have—your models can reason, but they can’t retrieve. They can generate, but they don’t know where to look.
AI agents and LLM-powered applications are becoming increasingly adopted for research and decision-making use cases. To perform well, these agents and applications must rely on high-quality data and high-fidelity retrieval within their context windows (the space where information is retrieved, ranked, and synthesised) to generate in-depth responses that are accurate, precise, and cited.
Yet the current reality is stark. These AI agents and applications do not have performant access to high-quality data. Deep research tools are only as ‘deep’ as traditional web search will allow. As AI tackles increasingly complex challenges—from drug discovery to professional services—it becomes clear that embedding all knowledge into model weights isn’t enough. We need something better to retrieve timely, high-quality proprietary and public information at scale and sustainably.
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This is why we decided to build ContextAPI. A single endpoint that seamlessly integrates trusted, high-quality sources directly into the context windows of your AI apps and Agents. Data has always been a challenge in AI, especially proprietary, but it doesn’t have to be.
The best kind of work starts when you fall into a rabbit hole—crawling through papers, chasing citations, pulling at every loose thread—only now, with models like DeepSeek by your side, you feel unstoppable, like you can reach the bottom of anything; it’s addictive. It’s the same rush for the analyst when patterns finally click, or the lawyer uncovering the case that ties it all together. This is what deep work is meant to feel like.
ContextAPI
By launching with Arxiv and Wikipedia, we’re setting a strong foundation. We’re steadily rolling out proprietary data sources—academic publishers, research platforms, book repositories, and other large content platforms—building towards a retrieval system that’s tested, improved, and optimised in real use cases. That’s why we’re rolling out new sources incrementally—so we can refine, adapt, and ensure quality at every step.
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The Valyu SDK in action. Easily access high quality data through the SDK for your AI Applications and Agents.
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Valyu Context API integrated with Scira search engine using two lines of code.
What’s Next
Our next release will introduce premium proprietary sources, giving AI applications access to broader, more authoritative, and domain-specific data for even deeper, more precise responses.
The future of AI-powered retrieval starts with high-quality data, trusted sources, and seamless integration— we look forward to building with you.
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Photo by Google DeepMind from Pexels.