Connect AI/ML API and Keka to Build Intelligent Automations

Choose a Trigger

AI/ML API

When this happens...

Choose an Action

Keka

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Employee Added

New Employee Added

Triggered when a new employee is added to Keka.

Request a new Trigger for AI/ML API

Do thisActions

Action is the task that follows automatically within your AI/ML API integrations.

Create Chat Completion

Create Chat Completion

Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.

Get an Employee

Get an Employee

Retrieve an employee's full profile from Keka using their Employee ID.

Search Employee by Email

Search Employee by Email

Search for an employee using their email address to retrieve their details.

Deactivate Employee

Deactivate Employee

Deactivate Employee by ID

Get All Exitreasons

Get All Exitreasons

Retrieve all configured exit and termination reasons from Keka.

Get all Leave Types

Get all Leave Types

Retrieve all leave types for the company. Optionally filter by one or more leave type IDs.

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Frequently Asked Questions

How do I start an integration between AI/ML API and Keka?

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

Can we customize how data from AI/ML API is recorded in Keka?

Absolutely. You can customize how AI/ML API data is recorded in Keka. This includes choosing which data fields go into which fields of Keka, setting up custom formats, and filtering out unwanted information.

How often does the data sync between AI/ML API and Keka?

The data sync between AI/ML API and Keka 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 AI/ML API to Keka?

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 AI/ML API and Keka?

Yes, you can set conditional logic to control the flow of data between AI/ML API and Keka. 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.

AI/ML API

About 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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Keka

About Keka

Keka is a comprehensive HR and payroll management platform designed to streamline and automate various human resource processes. It offers features such as employee management, attendance tracking, leave management, payroll processing, and performance evaluation, making it an essential tool for businesses looking to enhance their HR operations.

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