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.
Create custom Google Vertex AI and SSLMate — Cert Spotter API 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.
Generate content
This endpoint generates content based on the input provided.
Call function
This endpoint allows for calling functions as part of the generative tasks.
Ground content
This endpoint grounds the content to ensure relevance and context.
List API errors
This endpoint retrieves potential API errors that can occur during requests.
Generate text embeddings
This endpoint generates embeddings for given text inputs.
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
Use code completions
API for generating code completion suggestions.
Perform batch predictions
API for executing batch predictions on data.
Batch prediction
API for performing batch prediction.
Tune models
API for tuning machine learning models.
Tuning model parameters
API for tuning model parameters.
Rapid evaluation
API for quickly evaluating model performance.
Evaluate model performance
API for rapid evaluation of models.
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
Manage extensions
API for managing custom extensions.
Manage extensions
API for handling extensions.
Count tokens
API for counting tokens in text inputs.
Use reasoning engine
API for performing reasoning tasks.
Utilize reasoning engine
API for using the reasoning engine capabilities.
Use MedLM API
API for accessing medical language models.
Access MedLM
API for accessing MedLM functionality.
Generate and edit images
API for generating and editing images.
Access LlamaIndex
API for accessing LlamaIndex functionality.
Count tokens
API for counting tokens in text.
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.
These 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!
Create certificate
Create a new SSL certificate.
Reissue certificate
Reissue an SSL certificate.
Revoke certificate
Revoke an existing SSL certificate.
Retrieve certificate
Retrieve details about an SSL certificate.
Create certificate
Create or update the certificate object for a common name.
Buy certificate
Purchase and issue a certificate instance for the given common name.
Retrieve a certificate
Retrieves details of a specific certificate.
List certificates
Retrieves a list of all certificates in the system.
Reissue certificate
Reissue a certificate instance for the specified common name.
Redo certificate approval
Redo certificate approval for the pending instance of the specified common name.
Revoke certificate
Revoke one or more certificate instances for the specified common name.
Retrieve certificate
Given a common name, return the certificate object for that common name.
Retrieve certificate instance
Retrieve a certificate instance object for the certificate object with the given common name.
Get certificate instances
Retrieve instances of a specific certificate by common name and instance ID.
Get certificate public key hash
Retrieve the public key hash for a specific certificate instance.
List issuances
Use this endpoint to list all unexpired certificate issuances for a domain.
Get issuances
Retrieve issuances discovered by SSLMate.
List issuances
Retrieve a list of certificate issuances based on specified parameters.
Authorize public key
Authorize a public key to prevent notifications about related certificates.
Authorize certificate
Authorize a certificate to prevent notifications about it in Certificate Transparency logs.
Create monitored domain
Add or update a monitored domain to monitor its sub-domains.
List monitored domains
Retrieve a list of all monitored domain objects.
Create an order
Creates a new order in the system.
Update an order
Updates an existing order in the system.
Retrieve an order
Retrieves details of a specific order.
Delete an order
Deletes a specific order from the system.
List orders
Retrieves a list of all orders in the system.
List orders
Retrieve a list of orders associated with the account.
Create order
Creates a new order in the system.
Update order
Updates an existing order with the provided details.
Retrieve order
Get details of a specific order by name.
To set up SSLMate — Cert Spotter API 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 SSLMate — Cert Spotter API to query the data you need using the API endpoint URLs you provide.
These 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 SSLMate — Cert Spotter API official documentation to get a full list of all API endpoints and verify the scraped ones!
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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