Traceloop is an AI DevTool designed to facilitate the development and monitoring of LLM applications. Its main job is to create a continuous feedback loop for model evaluations, ensuring that each release improves upon the last.

Who is Traceloop for?

Traceloop is primarily for developers and teams working on LLM applications who need to ship their products faster and maintain high quality. It is suitable for those looking to take control of their models and integrate quality checks into their development pipeline.

What can I do with Traceloop?

With Traceloop, you can run quality checks with zero setup, define quality metrics tailored to your needs, and debug issues directly from production. Additionally, it provides real-time alerts about model quality and execution tracing for every request.

How much does Traceloop cost?

Traceloop offers a freemium pricing model, which includes a Free Forever tier allowing up to 50K spans per month and up to 5 seats. For larger needs, there is an Enterprise tier that supports more than 50K spans per month and unlimited seats.

How is Traceloop different from alternatives?

Traceloop differentiates itself by turning evaluations and monitoring into a continuous feedback loop, which enhances model quality with every release. Its focus on integrating quality checks into the development pipeline sets it apart in the AI DevTools category.

Does Traceloop have a free trial?

Yes, Traceloop offers a Free Forever tier, which allows users to explore its features without any cost.

Traceloop

Ship LLM Apps - 10x Faster

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Domain Rating

Monthly Traffic

Traffic Growth

+0.0%

Launch Date

Jan 2022

Est. Revenue

N/A

Data updated Jun 22, 2026 · Traffic data: SimilarWeb (estimated)

About Traceloop

Traceloop turns evals and monitors into a continuous feedback loop - so every release gets better.

Quick facts about Traceloop

Traceloop is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at traceloop.com.

The Relve catalog tracks 500+ live tools in AI Engineering Tools. Traceloop is part of the editorial tracking surface, with a Domain Rating of 42 on Ahrefs' authority scale.

Closest alternatives: Abyss Hub, ACE Studio, Actionbook, Action Sync, Adaapt.AI. Compare Traceloop head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.

Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Traceloop on a rolling 24-hour cycle (last updated Jun 22, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.

Key Features

Monitoring & Debugging

Real-time alerts about model quality

Traceloop provides real-time alerts to notify users about the quality of their models. This feature helps teams catch issues before they impact production, ensuring that the model's performance remains optimal.

Execution tracing for every request

This feature allows users to trace the execution of every request made to the model. It provides detailed insights into how the model processes inputs, which is crucial for debugging and optimizing performance.

Debug and re-run issues from production

Traceloop enables users to debug and re-run issues directly from production in their IDE. This feature streamlines the troubleshooting process, allowing for quicker resolutions and improved model reliability.

Quality Evaluation

Run quality checks with zero setup

Traceloop automatically runs trusted quality checks such as faithfulness, relevance, and safety on real data without requiring any setup from the user. This feature provides a baseline understanding of model quality effortlessly.

Define quality on your terms

Users can define what quality means for their specific use case by annotating real examples and training a custom evaluator. This flexibility allows for tailored evaluations that align with user expectations.

Make quality part of the pipeline

Traceloop integrates standard and custom evaluations into the development pipeline, running them automatically on every pull request or in real-time. This ensures that quality checks are consistently enforced throughout the development process.

Integration & Deployment

Deploy Traceloop in the cloud, on-prem, or air-gapped

Traceloop offers flexible deployment options, allowing users to deploy the platform in the cloud, on-premises, or in air-gapped environments. This versatility caters to various organizational needs and compliance requirements.

Connect your LLMs in Python, TypeScript, Go, or Ruby

Traceloop supports integration with various programming languages, including Python, TypeScript, Go, and Ruby. This feature allows developers to easily connect their LLMs using OpenLLMetry or the native OpenTelemetry-based gateway.

CI/CD integration

Traceloop seamlessly integrates with Continuous Integration and Continuous Deployment (CI/CD) pipelines. This feature ensures that quality checks and monitoring are part of the development workflow, enhancing overall software quality.

User Support & Compliance

Dedicated Slack support

Traceloop provides dedicated support through Slack, ensuring that users have access to assistance when needed. This feature enhances user experience by facilitating quick communication and problem resolution.

SOC 2 Compliance

Traceloop is SOC 2 compliant, which means it adheres to strict security and privacy standards. This compliance assures users that their data is handled with the utmost care and security.