Tavily

Tavily is a search API built specifically for feeding accurate, current information into AI agents rather than into a browser. Connected to Neotask, it means the agent isn't limited to what it already knows — it can run a real-time web search, pull clean text out of a page (no ads, no nav chrome), crawl a site's structure, or chain several searches together into a multi-step research pass, then use whatever it finds to ground its answer in something current and checkable.

• Real-time web search results built for grounding an agent's answer, not for a human scrolling a results page
• Extracts clean page content directly, stripping the layout noise a generic fetch would return
• Crawls and maps whole sites, and can chain searches into a multi-step research query

What you can automate

• Tavily - Real-time web search, page extraction, site crawling/mapping, and multi-step research queries for grounding agent answers in current information.

Real workflows

Answering a question that needs today's information

Ask the agent something that depends on current events or recent data. It runs a Tavily search, extracts the relevant page content, and answers using what it just found instead of guessing from training data.

Frequently asked questions

How is this different from the agent just answering from memory?

Tavily gives the agent a live search and extraction path, so answers about recent events, prices, or changing facts come from an actual current source instead of a static training cutoff.

Can it research more than one page deep?

Yes — Tavily supports crawling and multi-step research queries, so the agent can follow a topic across several pages before answering.

Plans

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