RAG-optimized content
Results are automatically split into semantically meaningful chunks — ready for your vector database and embedding pipeline.
Give your agents access to current web content, structured results and RAG-optimized extractions — through a simple API.
Our API is specifically designed to provide LLMs and agentic systems with reliable, up-to-date information from the web.
Results are automatically split into semantically meaningful chunks — ready for your vector database and embedding pipeline.
Start with the free tier including 10,000 API calls per month. Ideal for prototypes, small agents and first integrations.
REST API with clear endpoints, SDKs for Python and JavaScript and copy-paste examples for common agent frameworks.
Results are checked for quality, relevance and security. You get source citations for every answer your agent provides.
A single API request returns structured web data that you can use directly in your agent.
Agents that independently research, evaluate sources and create summarized reports.
Chatbots augmented with current web content instead of relying only on static knowledge.
Agents that scan the web for market trends, competitors or relevant news.
Agents that research current facts before generating or verifying content.