Cradl AI and elmah.io integration
How to connect Cradl AI and elmah.io
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 Cradl AI and elmah.io integration
Create custom Cradl AI and elmah.io 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.
Supported API Endpoints for Cradl AI
List appClients
Retrieve a list of app clients.
Retrieve appClient
Get details of a specific app client by ID.
List appClients
Retrieves a list of app clients.
Delete appClient
Deletes an existing app client by ID.
Update app client
Modify the details of a specific app client.
List assets
Retrieve a list of assets.
Retrieve asset
Get details of a specific asset by ID.
Get assets
Retrieve a list of assets.
Delete asset
Remove the specified asset from the collection.
Get asset
Retrieve a specific asset by its ID.
List datasets
Retrieve a list of datasets.
List datasets
Retrieve a list of all datasets.
Delete dataset
Deletes a dataset specified by its ID.
Get dataset transformations
Retrieves transformations for a specific dataset specified by its ID.
List documents
Retrieve a list of documents.
Delete documents
Delete specific documents based on provided criteria.
Create document
Uploads a new document to the system.
Get document
Retrieve a specific document by its ID.
List models
Retrieve a list of models.
List models
Retrieve a list of models.
Delete model
Delete a specified model by its ID.
Get model
Retrieve a model by its ID.
List data bundles for model
Retrieve data bundles associated with a specific model.
List data bundles
Retrieves a list of data bundles for a specific model.
Delete data bundle
Deletes a specific data bundle for a model.
List users
Retrieve a list of users.
List workflows
Retrieve a list of workflows.
Options transformations
Retrieve options for transformations of a specific dataset.
Create transformations
Create transformations for a specific dataset based on provided operations.
Delete transformation
Delete a specific transformation by its ID from a dataset.
List deployment environments
Retrieve a list of deployment environments.
Get deploymentEnvironment
Retrieve details of a specific deployment environment by ID.
Delete document
Deletes a document by its ID.
List logs
Retrieve a list of logs with optional filters.
Get log
Retrieve a specific log by its ID.
To set up Cradl 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 Cradl 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 Cradl AI official documentation to get a full list of all API endpoints and verify the scraped ones!
Supported API Endpoints for elmah.io
List path
Retrieves a list of paths for the application.
Update path
Updates an existing path entry in the application.
List path
Retrieve details of all paths.
Update path
Update an existing path entry.
Create integration
Create a new integration from various platforms.
Set up Uptime Monitoring
Establish a monitoring system to track uptime.
Set up Heartbeats
Configure a system to log application heartbeats.
Set up Deployment Tracking
Initiate a tracking process for deployments.
Clear logs
Remove logs from the CLI interface.
Create message
Creates a new message with a specified title.
Get message
Retrieves the details of a specific message using its ID.
Search messages
Searches for messages based on log ID.
Delete messages
Deletes multiple messages based on criteria.
Hide message
Hides a specific message so it is no longer visible.
Fix message
Fixes a specific issue with a message.
List messages
Queries the API for a list of the 15 most recent messages.
Search messages
Searches messages by query terms.
Fetch next messages
Fetches the next list of messages using the searchAfter property.
Delete message
Deletes a specific message by its unique URL.
Hide message
Hides a message by using the _hide endpoint.
Fix message
Marks a message as fixed by using the _fix endpoint.
To set up elmah.io 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 elmah.io 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 elmah.io official documentation to get a full list of all API endpoints and verify the scraped ones!
Cradl AI and elmah.io integration details
FAQ
Can Cradl AI connect with elmah.io?
Can I use Cradl AI’s API with n8n?
Can I use elmah.io’s API with n8n?
Is n8n secure for integrating Cradl AI and elmah.io?
How to get started with Cradl AI and elmah.io integration in n8n.io?
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