How to connect OpenAI GPT Assistants and Data Enrichment
Create a New Scenario to Connect OpenAI GPT Assistants and Data Enrichment
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI GPT Assistants, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI GPT Assistants or Data Enrichment will be your first step. To do this, click "Choose an app," find OpenAI GPT Assistants or Data Enrichment, and select the appropriate trigger to start the scenario.

Add the OpenAI GPT Assistants Node
Select the OpenAI GPT Assistants node from the app selection panel on the right.

OpenAI GPT Assistants
Configure the OpenAI GPT Assistants
Click on the OpenAI GPT Assistants node to configure it. You can modify the OpenAI GPT Assistants URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Data Enrichment Node
Next, click the plus (+) icon on the OpenAI GPT Assistants node, select Data Enrichment from the list of available apps, and choose the action you need from the list of nodes within Data Enrichment.

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Data Enrichment
Authenticate Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment through Latenode.
Configure the OpenAI GPT Assistants and Data Enrichment Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the OpenAI GPT Assistants and Data Enrichment Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
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AI Anthropic Claude 3
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Data Enrichment
Trigger on Webhook
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OpenAI GPT Assistants
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring OpenAI GPT Assistants, Data Enrichment, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the OpenAI GPT Assistants and Data Enrichment integration works as expected. Depending on your setup, data should flow between OpenAI GPT Assistants and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI GPT Assistants and Data Enrichment
Slack + OpenAI GPT Assistants + Data Enrichment: When a new message is posted in a Slack channel, the message is sent to OpenAI GPT Assistants for summarization. The summary is then enriched with data enrichment services to provide context, and the enriched summary is posted back to the Slack channel.
Google Sheets + Data Enrichment + OpenAI GPT Assistants: When a new row is added to a Google Sheet, the data is enriched. Then OpenAI GPT Assistants scores the lead quality and update the score to the Google Sheet.
OpenAI GPT Assistants and Data Enrichment integration alternatives
About OpenAI GPT Assistants
Use OpenAI GPT Assistants within Latenode to automate complex tasks like customer support or content creation. Configure Assistants with prompts and integrate them into broader workflows. Chain them with file parsing, webhooks, or database updates for scalable, automated solutions. Benefit from Latenode's no-code flexibility and affordable execution-based pricing.
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About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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FAQ OpenAI GPT Assistants and Data Enrichment
How can I connect my OpenAI GPT Assistants account to Data Enrichment using Latenode?
To connect your OpenAI GPT Assistants account to Data Enrichment on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI GPT Assistants and click on "Connect".
- Authenticate your OpenAI GPT Assistants and Data Enrichment accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich lead data before engaging with AI assistants?
Yes! Latenode lets you seamlessly enrich lead data, then use OpenAI GPT Assistants for personalized outreach, improving engagement thanks to detailed context. All in one workflow!
What types of tasks can I perform by integrating OpenAI GPT Assistants with Data Enrichment?
Integrating OpenAI GPT Assistants with Data Enrichment allows you to perform various tasks, including:
- Automatically enriching customer support tickets for smarter AI responses.
- Creating personalized sales outreach based on enriched prospect profiles.
- Analyzing customer sentiment using enriched demographic data.
- Generating content with deeper insights from enhanced datasets.
- Improving lead scoring accuracy using AI and enriched data profiles.
How does Latenode handle OpenAI GPT Assistants API key management?
Latenode securely stores your OpenAI GPT Assistants API keys with enterprise-grade encryption and role-based access control for enhanced security and compliance.
Are there any limitations to the OpenAI GPT Assistants and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data enrichment volumes may impact workflow execution time.
- The quality of AI responses depends on the accuracy of the enriched data.
- Complex data transformations might require custom JavaScript code.