Reference & Lookup Data · Integration
Tavily
Add Tavily to your product for your customers, and give your AI agents governed access to it.
Tavily is a search and extraction API built for agents rather than for people, and it is explicit about that: results come back shaped for a model to consume, with the option of a synthesised answer alongside the raw results. That matters because the usual retrieval pipeline loses most of its accuracy in the extraction step rather than the search, and getting clean page content back in the same call removes a whole class of failure. Requests are stateless, so there is nothing to sync; the meaningful objects are the query, the results and the extracted content. Keys are per account, so a customer bringing their own keeps usage and cost with them. fastn scopes the key per tenant and audits each lookup.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let a customer bring their own Tavily key so research runs on their account and their budget.
Search and get clean extracted page content in one call, rather than search then scrape.
Constrain a query by domain or recency so results stay relevant to the customer's question.
Crawl a specific site when a question needs depth rather than breadth.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent researches a question and cites its sources, with every lookup audited per tenant.
An agent extracts content from a shortlist of results rather than the whole set.
An agent restricts research to a customer's own domain list before answering.
Example prompt
Research this topic across recent sources and give me the key points with citations.
Set up Tavily in 4 steps
- 01Enable the Tavily connector from your fastn dashboard.
- 02Have each customer authorise their own Tavily account, so calls run under their credentials rather than a shared key.
- 03Decide which lookups, results and reports your product needs, map those fields, then enable the actions and triggers you want.
- 04Call it from your product and expose it to your agents through the same governed connection.
Why teams use the Tavily integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Tavily integration without building it. Your customers connect their own Tavily account inside your product and work their lookups, results and reports there, with no per-customer code on your side.
- Handle the part that actually costs time: these are metered read sources, so an uncached lookup on every page view burns the customer's allowance. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so a Tavily update is not your on-call problem.
- One integration serves your product and your agents. The same governed Tavily connection powers in-product features and gives AI agents scoped, audited access, so you answer questions from an authoritative outside source without holding that data yourself without wiring it twice.
Used by these teams
Compare with
Exa
Google Search ConsoleWorks well with
OpenAIOften used alongside
Tools the same teams tend to run next to Tavily, across other categories.
Salesforce
HubSpot
Notion
SnowflakeTavily integration FAQ
How do I add a Tavily integration to my product?
Enable the Tavily connector in your fastn dashboard, then let each customer authenticate their own Tavily account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Tavily client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Tavily account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Tavily account and only ever sees their own lookups, results and reports. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this Tavily integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent researches a question and cites its sources, with every lookup audited per tenant.
Who maintains the Tavily integration?
fastn does. When Tavily changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Whose credentials does a Tavily lookup run under?
Each customer's own. Quota and cost land on the customer that caused them rather than on a shared key you have to meter and re-bill, and one heavy customer cannot exhaust another's allowance.
How should Tavily results be cached?
Per tenant, with a window that matches how fast the underlying data actually moves. Tavily is a read source rather than a system of record, so the same query returns the same answer until the source changes, and caching is the difference between a sustainable integration and one that exhausts a customer's allowance on a busy page.
What can I build with the Tavily integration?
A common starting point: let a customer bring their own Tavily key so research runs on their account and their budget. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the Tavily integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Tavily does not change your per-connector cost. You can start free with 3 connected accounts.
Add Tavily to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.