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ChartMogul and Google Vertex AI integration
Save yourself the work of writing custom integrations for ChartMogul and Google Vertex AI and use n8n instead. Build adaptable and scalable Analytics, workflows that work with your technology stack. All within a building experience you will love.
How to connect ChartMogul and Google Vertex AI
Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Build your own ChartMogul and Google Vertex AI integration
Create custom ChartMogul and Google Vertex AI workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
What can you do with ChartMogul?
Get Account Details
Create an Activities Export
List Activities
Retrieve an Activities Export
Create a Contact
Delete a Contact
List Contacts
Retrieve a Contact
Update a Contact
Add Contact to Customer
Create a Customer
Delete a Customer
List Customer's Activities
List Customer's Invoices
List Customers
List Customers by Email
Merge Customers
Retrieve a Customer
Unmerge Customers
Update a Customer
Add Custom Attributes to a Customer
Add Custom Attributes to a Customer by Email
Add Tags to a Customer
Add Tags to a Customer by Email
Remove Custom Attributes From a Customer
Remove Tags From a Customer
Retrieve Customer's Tags and Attributes
Create a Subscription Event
Delete a Subscription Event
Disable a Subscription Event
List Subscription Events
Update a Subscription Event
Create an Invoice
Delete All Invoices of a Customer
Delete an Invoice
Disable an Invoice
List Invoices
Retrieve an Invoice
Update an Invoice
Update Invoice Status
Create a Line Item
Delete a Line Item
Disable a Line Item
Retrieve a Line Item
Update a Line Item
All Key Metrics
Annual Run Rate (ARR)
Average Revenue per Account (ARPA)
Average Sale Price (ASP)
Customer Churn Rate
Customer Count
Customer Lifetime Value (LTV)
Monthly Recurring Revenue (MRR)
MRR Churn Rate
Create a Note or Call Log
Delete a Note or Call Log
List Notes and Call Logs
Retrieve a Note or Call Log
Update a Note or Call Log
Create an Opportunity
Delete an Opportunity
List Opportunities
Retrieve an Opportunity
Update an Opportunity
Create a Plan
Delete a Plan
List Plans
Retrieve a Plan
Update a Plan
Create a Plan Group
Delete a Plan Group
List Plan Groups
List Plans in a Plan Group
Retrieve a Plan Group
Update a Plan Group
Create a Source
List Sources
Retrieve a Source
Delete a Source
List Customer's Subscriptions
Connect Subscriptions
Disconnect Subscriptions
Create a Task
Delete a Task
List Tasks
Retrieve a Task
Update a Task
Create a Transaction
Delete a Transaction
Disable a Transaction
Retrieve a Transaction
Update a Transaction
Supported API Endpoints for Google Vertex AI
POST
Generate content
This endpoint generates content based on the input provided.
/vertex-ai/generative-ai/docs/model-reference/inference
POST
Call function
This endpoint allows for calling functions as part of the generative tasks.
/vertex-ai/generative-ai/docs/model-reference/function-calling
POST
Ground content
This endpoint grounds the content to ensure relevance and context.
/vertex-ai/generative-ai/docs/model-reference/grounding
GET
List API errors
This endpoint retrieves potential API errors that can occur during requests.
/vertex-ai/generative-ai/docs/model-reference/api-errors
POST
Generate text embeddings
This endpoint generates embeddings for given text inputs.
/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api
POST
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
/vertex-ai/generative-ai/docs/model-reference/multimodal-embeddings-api
POST
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
/vertex-ai/generative-ai/docs/model-reference/imagen-api
GET
Use code completions
API for generating code completion suggestions.
/vertex-ai/generative-ai/docs/model-reference/code-completion
GET
Perform batch predictions
API for executing batch predictions on data.
/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api
POST
Batch prediction
API for performing batch prediction.
/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api
GET
Tune models
API for tuning machine learning models.
/vertex-ai/generative-ai/docs/model-reference/tuning
POST
Tuning model parameters
API for tuning model parameters.
/vertex-ai/generative-ai/docs/model-reference/tuning
GET
Rapid evaluation
API for quickly evaluating model performance.
/vertex-ai/generative-ai/docs/model-reference/evaluation
POST
Evaluate model performance
API for rapid evaluation of models.
/vertex-ai/generative-ai/docs/model-reference/evaluation
GET
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
/vertex-ai/generative-ai/docs/model-reference/rag-api
GET
Manage extensions
API for managing custom extensions.
/vertex-ai/generative-ai/docs/model-reference/extension
POST
Manage extensions
API for handling extensions.
/vertex-ai/generative-ai/docs/model-reference/extension
GET
Count tokens
API for counting tokens in text inputs.
/vertex-ai/generative-ai/docs/model-reference/count-tokens
GET
Use reasoning engine
API for performing reasoning tasks.
/vertex-ai/generative-ai/docs/model-reference/reasoning-engine
POST
Utilize reasoning engine
API for using the reasoning engine capabilities.
/vertex-ai/generative-ai/docs/model-reference/reasoning-engine
GET
Use MedLM API
API for accessing medical language models.
/vertex-ai/generative-ai/docs/model-reference/medlm
POST
Access MedLM
API for accessing MedLM functionality.
/vertex-ai/generative-ai/docs/model-reference/medlm
POST
Generate and edit images
API for generating and editing images.
/vertex-ai/generative-ai/docs/model-reference/code-completion
POST
Access LlamaIndex
API for accessing LlamaIndex functionality.
/vertex-ai/generative-ai/docs/model-reference/rag-api
POST
Count tokens
API for counting tokens in text.
/vertex-ai/generative-ai/docs/model-reference/count-tokens
To set up Google Vertex AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google Vertex AI to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Google Vertex AI official documentation to get a full list of all API endpoints and verify the scraped ones!
ChartMogul and Google Vertex AI integration details
Google Vertex AI
Google Vertex AI is a unified machine learning platform that enables developers to build, deploy, and manage models efficiently. It provides a wide range of tools and services, such as AutoML and datasets, to accelerate the deployment of AI solutions.
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FAQs
FAQ
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