Search verified knowledge using natural language questions. Best for open-ended queries where you need explanations, context, and sources — not just entity lists.
Returns markdown content with explainability, source citations, and matching entities.
Examples:
{"input": "What are the biggest AI startups in Europe by funding?"}
{"input": "Who founded Stripe and what is their background?"}
{"input": "What regulations affect fintech companies in the EU?"}
Use this when: You need a researched, sourced answer to a question. Prefer knowledge_query for structured filtering, or entity_search if you just need to find an entity by name.
"What are the most promising climate tech startups in Southern Europe?"
Successful Response
The answer to the user's input with the reasoning steps and the context that support the answer.
A succinct answer to the user's input in Markdown format.
"**Altano Energy (Spain)** — Madrid-based, developing renewable energy projects across Spain. Secured €60M Series C in 2025 from M&G Investments and Pioneer Point Partners."
A list of reasoning steps to get to that answer.
A list of facts that support the answer.
Entities recognized in the answer.