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Hatz AI

White-label AI platform for building, deploying, and querying custom chat apps.

1 search3 actionsPollingAuth: API key

AI-assisted documentation3 min read

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

Open Hatz AI on WEXTL →

To use Hatz AI on WEXTL you need an active account and an API access token from your account settings.[3]

  • API KeypasswordRequired

    You can generate API Keys on the platform on the Hatz Admin Dashboard by navigating to the settings tab.

    [1]
  1. Log in to your WEXTL account, add the Hatz 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 Hatz 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 Hatz AI to WEXTL®
Video slide demonstrates how to integrate Hatz 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 Hatz AI node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.

Open any Hatz AI node module below to inspect its input parameters, outputs, and connection requirements.

List AppsSearch
Input fields[3]
FieldType
Searchtext
Limitnumber
Output fields[3]
FieldType
Nametext
Descriptiontext
Default Modeltext
Filesarray
Constantsarray
User Inputsarray
Prompt Sectionsarray
Create a Chat CompletionAction
Input fields[3]
FieldType
ModelRequired
choice
MessagesRequired
array
Output fields[3]
FieldType
Choicesarray
Modeltext
Usageobject
Input Tokensnumber
Output Tokensnumber
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
Query the AppAction
Input fields[3]
FieldType
App IDRequired
choice
Input VariablesRequired
array
KeyRequired
text
ValueRequired
text
Output fields[3]
FieldType
User IDnumber

Look for Hatz AI templates in the WEXTL template library.

Browse templates →
  1. AltText AI[2]AI-generated image alt text for accessibility and SEO.
  2. DappierAI data platform for real-time web search, recommendations, and grounded content retrieval.
  3. BigjpgAI image upscaling service that enlarges and enhances photos while preserving detail.
  4. AWS TextractExtract text, forms, tables, and expense data from documents with Amazon Textract.
  5. AWS TranscribeTranscribe audio and video files and manage custom vocabularies with Amazon Transcribe.
More apps in AI category →
  1. WEXTL® Hatz AI Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for Hatz AI.
  4. WEXTL® visual workflow builder data.

Last updated: Jul 24, 2026 18:11

How we write our apps documentation

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