Connect Lark and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Lark
Choose an Action
Automatically do this!
Create Chat Completion
Enable Integrations or automations with these events of Lark and AI/ML API
Enable Integrations or automations with these events of Lark and AI/ML API
Actions
Create Lark Sheet
Create a new Sheet in Lark
Search a Group Chat in Lark
Searches for a Lark Group Chat that users or bot are in by name
Search a Lark Base
Search for a Lark Base by name or keyword
Search Lark Calendar Event
Search user's Lark calendar events
Search a Lark Docs
Search for a Lark Base by name or keyword
Search a Lark File
Search a Lark File by key word
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Frequently Asked Questions
To start, connect both your Lark and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Lark triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Lark data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Lark and AI/ML API 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 Lark and AI/ML API. 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 Lark
Lark is a next-generation office suite that integrates messaging, video conferencing, schedule management, collaborative documents, and more into a single platform, designed to enhance productivity and streamline communication for teams.
Learn MoreAbout AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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