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

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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

Google Vertex AI
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NetHunt

Authenticate NetHunt
Now, click the NetHunt node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your NetHunt settings. Authentication allows you to use NetHunt through Latenode.
Configure the Google Vertex AI and NetHunt 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 Google Vertex AI and NetHunt 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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NetHunt
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, NetHunt, 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 Google Vertex AI and NetHunt integration works as expected. Depending on your setup, data should flow between Google Vertex AI and NetHunt (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and NetHunt
NetHunt + Google Vertex AI + Slack: When a new or updated record is added to NetHunt, analyze the customer sentiment of the record's notes using Google Vertex AI. If the sentiment is negative, send a message to a designated Slack channel to alert the sales team.
NetHunt + Google Vertex AI + Gmail: When a new lead is added to NetHunt, use Google Vertex AI to generate a personalized initial email. Then, automatically send that email to the new lead via Gmail.
Google Vertex AI and NetHunt integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About NetHunt
Sync NetHunt CRM with Latenode to automate sales processes. Update deals, create tasks, or send personalized emails based on triggers. Latenode’s visual editor and flexible tools mean no-code data routing and AI-powered lead qualification — build scalable sales flows without complex scripts.
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See how Latenode works
FAQ Google Vertex AI and NetHunt
How can I connect my Google Vertex AI account to NetHunt using Latenode?
To connect your Google Vertex AI account to NetHunt on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and NetHunt accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze customer sentiment from NetHunt data using Vertex AI?
Yes, easily! Latenode allows you to send NetHunt records to Google Vertex AI for sentiment analysis. Gain valuable insights into customer feelings and improve your outreach strategies.
What types of tasks can I perform by integrating Google Vertex AI with NetHunt?
Integrating Google Vertex AI with NetHunt allows you to perform various tasks, including:
- Automatically enriching NetHunt contact data with AI-powered insights.
- Generating personalized email content for NetHunt leads using AI models.
- Analyzing customer interactions in NetHunt to identify sales opportunities.
- Predicting deal closure rates based on data from both platforms.
- Classifying and routing NetHunt support tickets using AI-driven text analysis.
What Google Vertex AI models are supported within Latenode workflows?
Latenode supports various Google Vertex AI models, including text generation, translation, and custom models trained on your own data.
Are there any limitations to the Google Vertex AI and NetHunt integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The number of requests to Google Vertex AI is limited by your Google Cloud subscription.
- Complex data transformations may require custom JavaScript code.
- Real-time updates depend on the polling interval configured within Latenode.