How to connect Google Vertex AI and Ocean.io
Create a New Scenario to Connect Google Vertex AI and Ocean.io
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 Ocean.io will be your first step. To do this, click "Choose an app," find Google Vertex AI or Ocean.io, 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 Ocean.io Node
Next, click the plus (+) icon on the Google Vertex AI node, select Ocean.io from the list of available apps, and choose the action you need from the list of nodes within Ocean.io.

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

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AI Anthropic Claude 3
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Ocean.io
Trigger on Webhook
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Google Vertex AI
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Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, Ocean.io, 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 Ocean.io integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Ocean.io (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 Ocean.io
Ocean.io + Google Vertex AI + Slack: When a new lead is identified in Ocean.io, the lead data is sent to Google Vertex AI for analysis. If the AI determines the lead is high-potential, a notification is sent to the sales team in Slack.
Ocean.io + Google Vertex AI + HubSpot: When a new lead is identified in Ocean.io, enrich the lead data using Google Vertex AI to extract key insights. Then, create or update the contact in HubSpot with the enriched data for targeted marketing campaigns.
Google Vertex AI and Ocean.io 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 Ocean.io
Use Ocean.io in Latenode to enrich lead data and target outreach. Identify ideal customer profiles automatically and pass qualified leads into your CRM or sales sequences. Latenode lets you add custom logic, filter leads, and trigger actions based on Ocean.io insights, creating scalable lead gen workflows without code.
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See how Latenode works
FAQ Google Vertex AI and Ocean.io
How can I connect my Google Vertex AI account to Ocean.io using Latenode?
To connect your Google Vertex AI account to Ocean.io 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 Ocean.io accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich Ocean.io leads with AI-generated insights?
Yes, you can! Using Latenode, easily trigger Vertex AI to analyze Ocean.io lead data and add insights. Benefit from automated enrichment and better lead qualification, no coding required.
What types of tasks can I perform by integrating Google Vertex AI with Ocean.io?
Integrating Google Vertex AI with Ocean.io allows you to perform various tasks, including:
- Automatically summarize key data points from enriched lead profiles.
- Use AI to identify high-potential leads based on behavioral data.
- Generate personalized outreach messages using AI for targeted leads.
- Predict lead conversion probabilities based on Vertex AI analysis.
- Flag leads needing immediate attention using sentiment analysis.
How is Google Vertex AI data secured within Latenode workflows?
Latenode employs encryption and secure data handling protocols to protect your Google Vertex AI data throughout the workflow process, maintaining confidentiality.
Are there any limitations to the Google Vertex AI and Ocean.io integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Ocean.io to Google Vertex AI may impact workflow execution time.
- Complex AI models in Google Vertex AI may require adjustments for optimal performance.
- Custom Ocean.io fields might need manual mapping for Vertex AI analysis.