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

Google Vertex AI
⚙
SpaceX
Authenticate SpaceX
Now, click the SpaceX node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your SpaceX settings. Authentication allows you to use SpaceX through Latenode.
Configure the Google Vertex AI and SpaceX 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 SpaceX 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
⚙
AI Anthropic Claude 3
⚙
SpaceX
Trigger on Webhook
⚙
Google Vertex AI
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, SpaceX, 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 SpaceX integration works as expected. Depending on your setup, data should flow between Google Vertex AI and SpaceX (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 SpaceX
Twitter + Google Vertex AI + Slack: This automation analyzes public sentiment on Twitter (simulated with a new message in Slack as a trigger) regarding a recent SpaceX launch using Google Vertex AI. It then posts a sentiment analysis summary to a dedicated Slack channel.
SpaceX + Google Vertex AI + Twitter: When SpaceX announces a new launch (simulated with the 'New Launch' trigger), use Google Vertex AI to generate social media content based on the launch details and then post it to Twitter (simulated by sending a message to Slack). Since posting to Twitter is unavailable, the generated content will be posted to a Slack channel.
Google Vertex AI and SpaceX 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.
Similar apps
Related categories
About SpaceX
Track SpaceX launches and mission data inside Latenode. Get real-time status updates, automate notifications for key events, or log mission details to databases. Integrate launch data with weather APIs for automated risk assessment. Latenode simplifies monitoring and reaction workflows without complex coding.
Similar apps
Related categories
See how Latenode works
FAQ Google Vertex AI and SpaceX
How can I connect my Google Vertex AI account to SpaceX using Latenode?
To connect your Google Vertex AI account to SpaceX 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 SpaceX accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze satellite imagery using AI models?
Yes, you can! Latenode lets you trigger Google Vertex AI models on SpaceX satellite data for real-time analysis. Automate insight generation, reducing manual processing time.
What types of tasks can I perform by integrating Google Vertex AI with SpaceX?
Integrating Google Vertex AI with SpaceX allows you to perform various tasks, including:
- Automatically classify satellite images using Vertex AI's image recognition.
- Predict launch success rates based on historical data with Vertex AI.
- Monitor Earth's climate by processing satellite data using AI algorithms.
- Analyze real-time telemetry data from SpaceX launches using Vertex AI.
- Optimize satellite placement using AI-driven predictive modeling in Vertex AI.
Can I use Vertex AI custom models with SpaceX data in Latenode?
Yes, Latenode allows you to use your trained Vertex AI models to analyze SpaceX data, enhancing custom automation workflows.
Are there any limitations to the Google Vertex AI and SpaceX integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Access to SpaceX's API is subject to their terms and availability.
- Large-scale data processing with Vertex AI may incur Google Cloud costs.
- Real-time data availability from SpaceX may vary based on mission status.