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Tavily

AI search API for research agents with real-time web retrieval and citations.

1 search2 actionsPollingAuth: API key

AI-assisted documentation3 min read

This documentation is compiled from our integration source code, internal specs for Tavily, its official API documentation and anonymized requests logs we collect from our support team[2].

Open Tavily on WEXTL →

Connecting Tavily takes an active account plus an API access token from your account settings — no other setup is required.[3]

  • API KeypasswordRequired

    You can get your API key here.

    [1]
  1. Log in to your WEXTL account, add the Tavily node module to your workflow, and click Create new credential.
  2. Optional: In the Credential name field, enter a name for the credential.
  3. Enter the authentication credentials you copied from your Tavily account, or follow the on-screen instructions to create the credential.
  4. If prompted, authenticate your account and confirm access.
  5. If you want to make changes to your credential in the future, follow the steps in Manage credentials →

Notes

Credentials are org-scoped; share them with teammates from the Credentials picker on any of its nodes.For detailed information on connecting an application, see Connect an application →

The list below is a reference of every Tavily node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.

Expand any Tavily node module below to see exactly what it takes in, what it returns, and what connection it needs.

SearchAction
Input fields[3]
FieldType
QueryRequired
text
Topicchoice
Search Depthchoice
Max Resultsnumber
Time Rangechoice
Daysnumber
Include Answerchoice
Include Raw Contentboolean
Include Imagesboolean
Include Image Descriptionsboolean
Include Domainsarray
Exclude Domainsarray
Output fields[3]
FieldType
Querytext
Answertext
Imagesarray
Resultsarray
Response Timetext
Make an API Calluniversal
Input fields[3]
FieldType
URLRequired
text
MethodRequired
choice
Headersarray
Headerobject
Query Stringarray
Parameterobject
Bodytext
Output fields[3]
FieldType
Bodytext
Headersobject
Status codenumber
Perform an ExtractAction
Input fields[3]
FieldType
URLsRequired
array
Include Imagesboolean
Extract Depthchoice
Output fields[3]
FieldType
Resultsarray
Failed Resultsarray
Response Timenumber

Look for Tavily templates in the WEXTL template library.

Browse templates →
  1. Dappier[2]AI data platform for real-time web search, recommendations, and grounded content retrieval.
  2. BigjpgAI image upscaling service that enlarges and enhances photos while preserving detail.
  3. AltText AIAI-generated image alt text for accessibility and SEO.
  4. ApiframeSingle API wrapping Midjourney, Flux, and other image, video, and music models.
  5. AWS TextractExtract text, forms, tables, and expense data from documents with Amazon Textract.
More apps in AI category →
  1. WEXTL® Tavily Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for Tavily.
  4. WEXTL® visual workflow builder data.

Last updated: Jul 24, 2026 18:13

How we write our apps documentation

How we compile these docs — sources, AI's role, and how we verify.