Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Grafana Reviews & Ratings
    577 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    2 Ratings
    Company Website
  • New Relic Reviews & Ratings
    2,650 Ratings
    Company Website
  • Graylog Reviews & Ratings
    383 Ratings
    Company Website
  • TelemetryTV Reviews & Ratings
    273 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    148 Ratings
    Company Website
  • Zendesk Reviews & Ratings
    7,564 Ratings
    Company Website
  • Ango Hub Reviews & Ratings
    15 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    9 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website

What is TraceRoot.AI?

TraceRoot.AI is an open-source platform powered by AI that focuses on observability and debugging, designed to help engineering teams rapidly tackle challenges in production environments. It integrates telemetry data into a cohesive, correlated execution tree, providing crucial insights into the causes of failures. AI agents utilize this organized structure to generate problem summaries, pinpoint likely root causes, and suggest actionable solutions, which can include creating GitHub issues and pull requests. Users benefit from an interactive trace exploration feature that includes zoomable log clusters and comprehensive views on spans and latency, along with insights directly tied to the codebase. To simplify instrumentation, lightweight SDKs for Python and TypeScript are available, supporting both self-hosted setups and cloud deployments through OpenTelemetry. A significant feature of this platform is its human-in-the-loop mechanism, which enables developers to engage with the reasoning process by selecting pertinent spans or logs, allowing them to validate the AI agent's conclusions with traceable context. This collaborative approach not only improves debugging efficiency but also gives teams increased authority and oversight in the issue resolution process, ultimately fostering a more proactive and informed development environment. Furthermore, the platform's design emphasizes user experience, making it accessible for teams of varying sizes and technical expertise.

What is Golf?

GolfMCP is an open-source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build a secure and scalable environment for AI agents without the burden of boilerplate code. By allowing developers to easily define tools, prompts, and resources with simple Python files, GolfMCP handles vital operations such as routing, authentication, telemetry, and observability, which allows users to focus on the essential logic instead of the underlying infrastructure. The platform supports advanced authentication methods like JWT, OAuth Server, and API keys, along with automated telemetry and a file-based structure that eliminates the need for decorators or manual schema setups. It also provides built-in tools for interacting with large language models (LLMs), comprehensive error logging, OpenTelemetry integration, and deployment utilities, including a command-line interface that offers commands for initializing, building, and running projects. Additionally, GolfMCP features the Golf Firewall, a sturdy security layer specifically designed for MCP servers that implements strict token validation to bolster the security framework. This extensive array of features guarantees that developers have all the necessary tools at their disposal to create effective AI-driven applications, paving the way for innovation and efficiency in their projects. With GolfMCP, organizations can confidently advance their AI initiatives with a robust and user-friendly development environment.

Media

Media

Integrations Supported

OpenTelemetry
Python
CAMEL-AI
GitHub
JavaScript
Model Context Protocol (MCP)
Notion
OAuth
OWL
Slack
TypeScript

Integrations Supported

OpenTelemetry
Python
CAMEL-AI
GitHub
JavaScript
Model Context Protocol (MCP)
Notion
OAuth
OWL
Slack
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TraceRoot.AI

Date Founded

2025

Company Location

United States

Company Website

traceroot.ai/

Company Facts

Organization Name

Golf

Company Location

United States

Company Website

golf.dev/

Categories and Features

Categories and Features

Firewall

Alerts / Notifications
Application Visibility / Control
Automated Testing
Intrusion Prevention
LDAP Integration
Physical / Virtual Environment
Sandbox / Threat Simulation
Threat Identification

Popular Alternatives

Popular Alternatives

TelemetryHub Reviews & Ratings

TelemetryHub

TelemetryHub by Scout APM
Eighteen Reviews & Ratings

Eighteen

Szen Corp