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Dappier

AI data platform for real-time web search, recommendations, and grounded content retrieval.

2 searches1 actionPollingAuth: API key

AI-assisted documentation2 min read

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

Open Dappier on WEXTL →

Before you set up the credential, make sure you have an active Dappier account and an API access token from your account settings ready.[3]

  • API KeypasswordRequired

    You can get your API Key from Dashboard -> API Keys.

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

Each Dappier node module below opens to reveal its input parameters, outputs, and connection requirements.

Get AI RecommendationsAction
Input fields[3]
FieldType
QueryRequired
text
Data Model IDRequired
text
Similarity Top Knumber
Reftext
Number of Articles from Refnumber
Search Algorithmchoice
Output fields[3]
FieldType
Resultsarray
Get Real-Time DataAction
Input fields[3]
FieldType
QueryRequired
text
Data Model IDRequired
text
Output fields[3]
FieldType
Responsetext
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

Look for Dappier templates in the WEXTL template library.

Browse templates →
  1. Bigjpg[2]AI image upscaling service that enlarges and enhances photos while preserving detail.
  2. AltText AIAI-generated image alt text for accessibility and SEO.
  3. AWS TextractExtract text, forms, tables, and expense data from documents with Amazon Textract.
  4. AWS RekognitionDetect faces, labels, text, and moderation content in images with Amazon Rekognition.
  5. AirtopRun cloud browser sessions and extract or interact with web pages using Airtop.
More apps in AI category →
  1. WEXTL® Dappier Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for Dappier.
  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.