Connect ChainDesk and Baseten to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for ChainDesk
Choose an Action
Automatically do this!
List Training Projects
Create Secret
List All Secrets
List All Teams
Create Training Project
Enable Integrations or automations with these events of ChainDesk and Baseten
Enable Integrations or automations with these events of ChainDesk and Baseten
Actions
Query Agent
Query one of your Agent.
Query Datastore
Query one of your datastore (semantic search).
List Training Projects
List all training projects
Create Secret
Store a named secret value.
List All Secrets
Retrieve all Baseten secrets
List All Teams
Get all teams in your account
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Frequently Asked Questions
To start, connect both your ChainDesk and Baseten accounts to viaSocket. Once connected, you can set up a workflow where an event in ChainDesk triggers actions in Baseten (or vice versa).
Absolutely. You can customize how ChainDesk data is recorded in Baseten. This includes choosing which data fields go into which fields of Baseten, setting up custom formats, and filtering out unwanted information.
The data sync between ChainDesk and Baseten typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between ChainDesk and Baseten. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About ChainDesk
Chaindesk is a cutting-edge platform leveraging artificial intelligence to streamline and enhance blockchain technology solutions. It offers tools and services for blockchain development, management, and analytics, making it easier for businesses to integrate and optimize blockchain technology.
Learn MoreAbout Baseten
Baseten is a platform that empowers developers to build, deploy, and manage machine learning models with ease. It provides tools for integrating AI capabilities into applications, streamlining the process from model creation to deployment.
Learn More
