Connect Finmei and AI/ML API to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Invoice Created
runs when new invoice is created
New Expense Created
runs when New Expense Created
Do thisActions
Action is the task that follows automatically within your Finmei integrations.
Create Invoice
Create a new invoice with buyer, seller, products, and payment details.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your Finmei and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Finmei triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Finmei 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 Finmei 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 Finmei 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 Finmei
Finmei is a comprehensive platform designed to streamline financial management and enhance decision-making for businesses and individuals. With a focus on providing insightful analytics and efficient tools, Finmei empowers users to manage their finances with ease and precision.
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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