Connect Tess and Numerai to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Tess
Choose an Action
Automatically do this!
- Request a new Action for Numerai
Enable Integrations or automations with these events of Tess and Numerai
Enable Integrations or automations with these events of Tess and Numerai
Actions
Search Agents Details
Searches for agents and returns a list of matching agents with their key details.
Execute Agent
Runs the Tess assistant and returns the content it creates.
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Frequently Asked Questions
To start, connect both your Tess and Numerai accounts to viaSocket. Once connected, you can set up a workflow where an event in Tess triggers actions in Numerai (or vice versa).
Absolutely. You can customize how Tess data is recorded in Numerai. This includes choosing which data fields go into which fields of Numerai, setting up custom formats, and filtering out unwanted information.
The data sync between Tess and Numerai 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 Tess and Numerai. 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 Tess
Tess is a versatile platform designed to enhance team collaboration and communication. It offers a suite of tools to streamline project management, facilitate seamless communication, and boost productivity across teams.
Learn MoreAbout Numerai
Numerai is a unique hedge fund that leverages the power of data science and machine learning to make stock market predictions. It operates as a decentralized network where data scientists from around the world can contribute their models to improve the fund's performance. By using encrypted data, Numerai ensures privacy and security while fostering collaboration among its community of data scientists.
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