IntegrationsdeliverlogicNumerai
deliverlogic + Numerai

Connect deliverlogic and Numerai to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between deliverlogic and Numerai?

To start, connect both your deliverlogic and Numerai accounts to viaSocket. Once connected, you can set up a workflow where an event in deliverlogic triggers actions in Numerai (or vice versa).

Can we customize how data from deliverlogic is recorded in Numerai?

Absolutely. You can customize how deliverlogic 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.

How often does the data sync between deliverlogic and Numerai?

The data sync between deliverlogic and Numerai typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from deliverlogic to Numerai?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between deliverlogic and Numerai?

Yes, you can set conditional logic to control the flow of data between deliverlogic 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.

deliverlogic

About deliverlogic

DeliverLogic is an industry leading logistics platforms designed to support Restaurant Delivery services, local restaurants, and other logistics and delivery services.

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Numerai

About 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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