How to connect Data Enrichment and AI Agent
Create a New Scenario to Connect Data Enrichment and AI Agent
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 Data Enrichment, triggered by another scenario, or executed manually (for testing purposes). In most cases, Data Enrichment or AI Agent will be your first step. To do this, click "Choose an app," find Data Enrichment or AI Agent, and select the appropriate trigger to start the scenario.

Add the Data Enrichment Node
Select the Data Enrichment node from the app selection panel on the right.

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

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AI Agent
Authenticate AI Agent
Now, click the AI Agent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI Agent settings. Authentication allows you to use AI Agent through Latenode.
Configure the Data Enrichment and AI Agent 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 Data Enrichment and AI Agent 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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AI Agent
Trigger on Webhook
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Data Enrichment
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Data Enrichment, AI Agent, 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 Data Enrichment and AI Agent integration works as expected. Depending on your setup, data should flow between Data Enrichment and AI Agent (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Data Enrichment and AI Agent
HubSpot + Data Enrichment + AI Agent: When a new contact is created in HubSpot, enrich their data using Data Enrichment. Then, use an AI Agent to qualify the lead based on the enriched data and update the contact in HubSpot with the qualification result.
Salesforce + AI Agent + Data Enrichment: When a record is updated in Salesforce, an AI Agent summarizes the recent interactions. The contact data is enriched. Finally, the Salesforce record is updated with both the interaction summary and enriched data.
Data Enrichment and AI Agent integration alternatives
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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About AI Agent
Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.
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See how Latenode works
FAQ Data Enrichment and AI Agent
How can I connect my Data Enrichment account to AI Agent using Latenode?
To connect your Data Enrichment account to AI Agent on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Data Enrichment and click on "Connect".
- Authenticate your Data Enrichment and AI Agent accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize enriched lead data?
Yes, you can! Latenode lets you send enriched data from Data Enrichment to AI Agent for instant summarization. This speeds up lead qualification and saves your sales team valuable time.
What types of tasks can I perform by integrating Data Enrichment with AI Agent?
Integrating Data Enrichment with AI Agent allows you to perform various tasks, including:
- Generate personalized email drafts based on enriched contact details.
- Score leads automatically based on insights from data enrichment.
- Create custom reports summarizing key data points for each contact.
- Identify high-potential prospects based on AI analysis of enriched data.
- Automatically update CRM records with AI-generated insights.
Can I use custom JavaScript to process Data Enrichment results?
Yes! Latenode allows you to use custom JavaScript functions to manipulate and transform data received from Data Enrichment before sending it to AI Agent.
Are there any limitations to the Data Enrichment and AI Agent integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the Data Enrichment and AI Agent APIs still apply.
- Complex data transformations may require advanced JavaScript knowledge.
- AI Agent's performance depends on the quality of the enriched data.