Integrations AI/ML API CallTrackingMetrics
AI/ML API + CallTrackingMetrics

Connect AI/ML API and CallTrackingMetrics to Build Intelligent Automations

Choose a Trigger

AI/ML API

When this happens...

Choose an Action

CallTrackingMetrics

Automatically do this!

Ready to use AI/ML API and CallTrackingMetrics automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Call Starts

New Call Starts

Runs when a new call starts.

Call Ends

Call Ends

Runs when a call ends.

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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.

Create Contact List

Create Contact List

Creates a new contact list.

Send SMS

Send SMS

Sends an SMS message from your account to a specified phone number.

List Tracking Numbers

List Tracking Numbers

Lists tracking numbers with optional filters for number or name.

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Frequently Asked Questions

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

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

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

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

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

The data sync between AI/ML API and CallTrackingMetrics 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 CallTrackingMetrics?

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 CallTrackingMetrics?

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

About CallTrackingMetrics

Provides call tracking, dynamic number insertion, routing, recording, and multi-channel attribution to connect calls, texts, chats, and form fills to the marketing sources that drove them. Offers conversation intelligence (AI-driven transcription and analytics), a softphone, developer APIs, and native integrations (Google Ads, HubSpot, Salesforce) to sync call data across stacks.

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