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Denser AI

AI chatbots trained on your documents, websites, and knowledge base content.

2 actionsPollingAuth: API key

AI-assisted documentation3 min read

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

Open Denser AI on WEXTL →

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

  • API KeypasswordRequired

    Navigate to Security section on the main screen of your selected chatbot. Scroll down to the API Key section under the Security page. If REST API access has been enabled and you know the API key, you can use that existing API key. Otherwise, click Generate API Key button to generate a new API key.

    [1]
  1. Log in to your WEXTL account, add the Denser AI 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 Denser AI 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 →
Connecting Denser AI to WEXTL®
Video slide demonstrates how to integrate Denser AI in the WEXTL visual workflow builder.[4]

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 Denser AI node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.

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

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
Send a QueryAction
Input fields[3]
FieldType
Chatbot IDRequired
text
QuestionRequired
text
Contextarray
Override System Prompttext
Modeltext
Include Supporting Passagesboolean
Output fields[3]
FieldType
Status codetext
Answertext
Passagesarray

Look for Denser AI templates in the WEXTL template library.

Browse templates →
  1. Deskpro[2]AI-powered help desk for tickets, knowledge base, and customer support workflows.
  2. ChatlingAI customer-service agent for chatbot contacts and conversations.
  3. CharlaAI chatbot and live-chat platform for contacts, articles, and conversations.
  4. CapacityAI-powered support automation platform that deflects tickets by answering questions, routing requests, and managing knowledge across teams.
  5. AlfaDocsPractice management for dental clinics — patients, appointments, and records.
More apps in Support category →
  1. WEXTL® Denser AI Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for Denser AI.
  4. WEXTL® visual workflow builder data.

Last updated: Jul 23, 2026 22:39

How we write our apps documentation

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