
Trackly
Trackly is a comprehensive AI-powered tracking platform that provides automated token tracking, cost attribution, and latency monitoring for LLM usage across multiple providers like OpenAI, Anthropic, Groq, and Gemini.
https://tracklyai.in/?ref=producthunt

Product Information
Updated:Mar 27, 2026
What is Trackly
Trackly is an advanced tracking solution designed to help developers and businesses monitor and optimize their Large Language Model (LLM) usage. With just two lines of code integration, it offers a seamless way to track every API call, monitor costs, and analyze performance across various AI providers. The platform combines sophisticated tracking capabilities with an intuitive interface, making it an essential tool for managing AI implementations at any scale.
Key Features of Trackly
Trackly is a comprehensive tracking and analytics platform that offers multiple functionalities including LLM cost tracking, website monitoring, and AI-powered recruiting. It provides automatic token tracking, cost attribution, and latency monitoring across various AI models (OpenAI, Anthropic, Groq, Gemini). The platform features zero-config provider detection, real-time analytics, customizable alerts, and detailed reporting capabilities, making it suitable for both individual users and enterprise teams.
Zero-Config Provider Detection: Automatically detects and integrates with multiple LLM providers including OpenAI, Anthropic, Groq, and Gemini without requiring complex setup
Cost Attribution and Analytics: Provides detailed cost breakdowns by feature, user, and model, with real-time pricing updates and usage trends
Customizable Monitoring and Alerts: Offers flexible notification systems through various channels (email, SMS, Slack, etc.) with customizable triggers and maintenance windows
Rich Metadata Tracking: Allows tagging and filtering of any call with detailed metadata, enabling comprehensive analysis and reporting
Use Cases of Trackly
LLM Cost Management: Help organizations track and optimize their spending on AI language models across different providers and features
MBA Recruitment Tracking: Assist MBA students in tracking job opportunities across multiple employers and managing their application process
Website Change Monitoring: Monitor websites for changes and alert users about updates, particularly useful for competitive analysis and compliance monitoring
Brand Visibility in AI Search: Track and optimize brand visibility across major AI platforms like ChatGPT, Gemini, and Claude
Pros
Easy integration with just two lines of code
Comprehensive analytics and reporting capabilities
Flexible notification system with multiple integration options
Cons
Potential complexity for new users due to extensive features
Usage-based pricing may become expensive for high-volume users
How to Use Trackly
Install Trackly: Install Trackly using pip command: pip install trackly
Sign in to Dashboard: Create an account and sign in to the Trackly Dashboard to get started
Create a Project: Go to Organization Settings → Projects and click '+ New Project' to create a new project with a name (e.g. 'My App')
Generate API Key: Navigate to API Keys section, click '+ Create API Key', give it a name and optionally scope it to your specific project
Initialize Trackly in Code: Import Trackly and initialize it with metadata like feature name and environment (e.g., trackly = Trackly(feature='chatbot', environment='prod'))
Attach Callback: Attach the Trackly callback to your LLM instance (e.g., llm = ChatAnthropic(callbacks=[trackly.callback()]))
Add Custom Metadata: Optionally add custom metadata to track specific features or user IDs using the metadata config in LLM calls
Monitor Dashboard: View your tracking data, including token consumption, costs, latency metrics, and usage trends in the Trackly dashboard
Trackly FAQs
Trackly tracks LLM (Large Language Model) usage across multiple providers including OpenAI, Anthropic, Groq, Gemini, Mistral, Ollama, Together, Fireworks, Bedrock, and Cohere. It tracks tokens consumed, costs, latency, and usage patterns.
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