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 Chatling and SignRequest 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.
List chatbot templates
Get a list of all the available chatbot templates.
Create chatbot
Create a new chatbot.
List chatbots
Get a list of all existing chatbots.
Retrieve chatbot
Retrieve details of a specific chatbot.
Update chatbot settings
Update settings for a specific chatbot.
List contacts
Get a list of all contacts.
Retrieve contact
Retrieve details of a specific contact.
Delete contact
Delete a specific contact.
Delete contact
Delete a specific contact from the project.
List conversations
Get a list of all conversations.
Retrieve conversation
Retrieve details of a specific conversation.
List data sources
Get a list of all data sources in the knowledge base.
List settings
Retrieve a list of project settings.
Update settings
Update the project settings.
List members
Retrieve a list of project members.
List AI models
Retrieve a list of available AI models.
List AI languages
Retrieve a list of supported AI languages.
Chat
Send a chat request to the AI service.
Add link
Add a link to the knowledge base.
Add text
Add text to the knowledge base.
To set up Chatling 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 Chatling 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 Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
Create document
In order to send out a SignRequest, we first need to create a document.
Delete document
Delete a document for the owner of the document.
Create document
Create a document using the REST API.
List documents
Retrieve a list of Documents
Retrieve document
Retrieve a Document
Create signrequest
Use the signrequests endpoint to send a SignRequest using the URL returned from the documents endpoint.
Resend signrequest email
Resend the SignRequest email as a reminder to all signers who didn't sign yet.
Cancel signrequest
Cancel a SignRequest that has not been fully signed or declined yet.
Add attachment to SignRequest
Attachments can be added to a SignRequest before it is created.
List document-attachments
Retrieve a list of Document Attachments
Retrieve document-attachment
Retrieve a Document Attachment
Quick create SignRequest
Create a document and send the SignRequest in one API call.
Create embed URL
Generates an embed URL for signers to sign documents.
Create team
Creates a new team for integration partners.
Create application
Creates an application for OAuth2 authorization.
Get authorization code
Retrieve an authorization code.
Request token
Request a new (refresh) token.
Revoke token
Revoke a token.
List API tokens
Retrieve a list of API tokens.
List AuditEvents
Retrieve a list of AuditEvents.
List documents
Search interface for fast (autocomplete) searching of documents.
To set up SignRequest 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 SignRequest 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 SignRequest official documentation to get a full list of all API endpoints and verify the scraped ones!
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