A typical search API returns results shaped for a human browser: a results page with ads, snippets and markup that still needs parsing. Tavily is built differently — designed specifically for AI agents and language models, so it returns clean, query-relevant text ready to consume without extra parsing.
What it is
Tavily is a search API built for AI agents rather than a browser. Given a query, it returns a compact set of relevant text fragments with their source, stripped of ads and layout noise that would otherwise need filtering out of an ordinary search result.
What you get
Once live, Tavily will give Seyka an additional source for tasks that need fast, current information from the open web rather than site-ranking data — confirming a fact, citing a statistic's original source, or cross-checking external data while drafting content. It's a separate role from Yandex, which stays the source of SEO rankings and indexation data. Tavily will broaden the agent's general web-research reach, useful for content work where current figures and citable sources matter, so answers rely on a live web check rather than the model's training data alone.