Tavily

Crawls the live web to find verified facts, monitors competitor pricing changes, and feeds cleaned search results directly into your knowledge base.

Try Tavily in Ceven

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Why use Ceven?

  1. AI native Tavily integration

    • Describe the outcome and Ceven picks the right Tavily calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Tavily data, across all 5 of its actions.
  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Tavily access.
    • Per user and per environment credentials instead of shared keys.
  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Tavily, when, and on whose behalf.
    • The agent pauses and asks when Tavily is unclear instead of plowing ahead.
  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Tavily.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Tavily action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Tavily, and when to use it.

Search web
Use this to perform a broad web search. Control search depth and result count to balance speed and detail.
Advanced search
Run a query with strict domain filters to only pull results from trusted sources or specific competitors.
Get page content
Pull the cleaned text from a specific URL to avoid HTML clutter and ads.
Deep research search
Use this when you need exhaustive results. It triggers a more intensive crawl for comprehensive data gathering.
Filter content types
Restrict search results to news articles or a specific content format for higher precision.
Verify claim
Cross reference a specific statement against multiple web sources to determine accuracy.
Fetch latest news
Pull the most recent mentions of a brand or keyword from the last twenty four hours.
Search by domain
Target a specific website to find all indexed pages related to a query.
Retrieve snippets
Pull short summaries of multiple pages to quickly scan for relevance before a full fetch.
Execute batch search
Run multiple queries in one call to map out a broad topic quickly.
Check site status
Verify if a target URL is reachable and returning valid content for the agent.
Extract metadata
Pull the title, description, and publication date from a search result.
Tavily search
Use this to perform a web search via the tavily api; offers controls for search depth, content types, result count, and domain filtering.

13 actions · scroll to see them all

Frequently asked questions

Tavily is built specifically for AI agents rather than humans. While Google provides a list of links for a person to click, Tavily returns cleaned content and structured data that a large language model can process immediately. It removes the ads, navigation menus, and footer noise that usually confuse an agent. This means Ceven does not have to spend tokens cleaning HTML or dealing with redirects. The results are ranked based on their utility for an AI, focusing on information density and factual relevance. This makes it much faster and more accurate for automated research workflows where you need a direct answer instead of a page of blue links.
Tavily can access a vast amount of public web data, but it generally cannot bypass hard paywalls or login screens. If a site requires a subscription or a user account to view the content, Tavily will likely only see the public preview or the login page. To handle this, we recommend using Tavily for discovery and broad research. For sites where you have an official account, you can combine Tavily with other specialized tools or direct API integrations. The agent will notify you if it encounters a page it cannot fully read so you can provide an alternative source or a manual override for that specific data point.
Tavily enforces rate limits based on your specific API tier. For users on the free tier, there is a strict cap on the number of requests per month and a limit on concurrent searches. If a Ceven workflow triggers a high volume of batch searches, you may encounter a rate limit error. This is a limitation of the Tavily API architecture to prevent abuse. To avoid this, we suggest scheduling your research workflows to run at intervals or upgrading your Tavily plan for higher throughput. Ceven includes built in retry logic with exponential backoff to handle temporary spikes, but sustained high volume requires a paid Tavily subscription.
Yes, Tavily is designed for real time retrieval. Unlike a static dataset used to train a model, Tavily crawls the live web. When Ceven triggers a search, Tavily fetches the most current information available. This makes it ideal for tracking stock prices, breaking news, or recent software releases. However, the speed of indexing depends on how often the target website updates its sitemap and how the site handles crawlers. For most major sites, the data is current within minutes or hours. If you need second by second data, you should use a dedicated financial or social media API instead of a general web search tool.
Tavily acts as a retrieval layer between Ceven and the public web. It does not store your private data or the internal prompts you send through Ceven in a way that makes them public. The search queries are sent over encrypted channels. When Tavily fetches a page, it is accessing public information. It does not have access to your private files or internal databases unless you explicitly provide a URL to a public facing page. Because Tavily is a search tool, it is primarily reading public data, meaning the primary privacy concern is the content of the query itself, which is handled according to Tavily's standard API data processing agreement.
Yes, you can use the domain filter in the search actions. This is highly useful for competitive intelligence where you only want results from a known set of competitors. By specifying a list of allowed domains, you prevent the agent from pulling irrelevant information from blogs or forums. This significantly increases the signal to noise ratio and reduces the number of tokens the AI spends processing irrelevant pages. You can set this up in the workflow by passing a list of domains to the advanced search action, ensuring that the research remains focused on the exact sources you trust for your industry.
Tavily is primarily focused on text based retrieval and content extraction for AI models. While it can find pages that contain images or videos and return the URLs to those pages, it does not provide a dedicated reverse image search or a video content analysis tool. The agent will receive the text surrounding the media, which usually provides enough context to understand what the image or video represents. If your workflow requires analyzing the actual visual content of a video, you would need to pipe the Tavily URL into a separate multimodal model or a dedicated video processing tool to extract the visual insights.
Tavily offers different depth settings, typically categorized as basic and advanced. Basic search is faster and cheaper, making it ideal for simple fact checks or quick queries. Advanced search performs a more thorough crawl, visiting more pages and digging deeper into the site structure to find comprehensive answers. In Ceven, you can choose the depth based on the goal of the workflow. Use basic search for daily monitoring and advanced search for deep dive monthly reports. Be aware that advanced search takes longer to return results and consumes more of your API quota, so it should be used strategically within your automation.

Alternatives to Tavily

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

Try Ceven on your stack

Plug Ceven on top of the tools you already run. Connect Tavily and the rest of your stack, describe the outcome, and its agents handle the work end to end, days of it in minutes.

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