Enable Integrations or automations with these events of Pointagram and AI/ML API
Looks up a player by matching either player name, player external id or email-address.
Creates a new player.
Search for an existing player or create a new one if the player is not found.
Add points for a player in a score series
Updates an existing player
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Pointagram and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Pointagram triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Pointagram 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 Pointagram 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 Pointagram 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.
Pointagram is a platform designed to gamify team activities and enhance engagement through point-based challenges and rewards. It allows teams to create competitions, track progress, and celebrate achievements, fostering a fun and motivating environment.
Learn MoreAI/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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