AgentX
Build, debug, and ship production-ready AI agents faster.
Quick answer
AgentX — Build, debug, and ship production-ready AI agents faster. It's freemium. Best for building and orchestrating multi-step AI agent workflows for production applications.
AgentX is a freemium agent-building and evaluation platform designed for AI engineers who need to construct, monitor, and improve multi-agent workflows in production environments. The platform allows teams to visually compose complex multi-agent pipelines and then capture real production traces to understand exactly where and why agents fail. One of its most distinctive capabilities is the ability to convert those live production traces into evaluation datasets with a single click, dramatically reducing the time it takes to diagnose and fix broken agent behavior. AgentX is particularly well-suited for engineering teams that are actively shipping AI-powered products and need a reliable feedback loop between production performance and iterative agent improvement. Rather than relying on synthetic test cases that may not reflect real-world usage, AgentX grounds evaluations in actual user interactions, making it easier to prioritize fixes that have the highest real-world impact. The platform supports a credit-based pricing model with a free tier available, making it accessible for individual developers experimenting with agent design as well as larger teams running agents at scale.
Key features
- Multi-agent workflow builder for composing complex AI pipelines visually
- One-click conversion of production traces into evaluation datasets
- Agent debugging tools that surface failure points in live deployments
- Credit-based usage model with a free tier for getting started
Pros & cons
- +Grounds evaluations in real production data rather than synthetic test cases
- +Significantly speeds up the debug cycle with one-click evaluation set creation
- +Accessible free tier allows developers to explore agent building without upfront cost
- −Credit-based pricing can become costly as production trace volume scales up
- −Platform is primarily aimed at technical AI engineers, which may limit accessibility for non-developers
Pricing
Free tier available with a base credit allocation for building and testing agents
Paid credits available for higher usage and production-scale evaluations
Contact AgentX for enterprise pricing and custom credit packages
Who is it for
- →Building and orchestrating multi-step AI agent workflows for production applications
- →Debugging failing agents by analyzing real production traces and generating targeted evaluations
- →Iterating on agent behavior using data-driven evaluation sets derived from actual user interactions
Frequently asked questions
Is AgentX free?
Yes, AgentX offers a free tier that includes a base allocation of credits, allowing developers to start building and testing multi-agent workflows without paying upfront.
What is AgentX best used for?
AgentX is best used by AI engineers who are actively shipping agents in production and need a streamlined way to build multi-agent pipelines, capture live traces, and convert those traces into evaluation sets to fix failing agents quickly.
What are the best alternatives to AgentX?
Alternatives to AgentX include LangSmith for agent observability and evaluation, LangGraph for multi-agent orchestration, Weights and Biases Weave for LLM tracing, and Langfuse for open-source agent monitoring and evaluation.
Is AgentX safe to use?
AgentX is designed for professional AI engineering teams and follows standard practices for handling production data. As with any platform that processes live application traces, teams should review AgentX's data handling and privacy policies before connecting production systems.
How much does AgentX cost?
AgentX uses a credit-based pricing model. A free tier is available for getting started, and additional credits can be purchased for higher usage volumes. For large-scale or enterprise needs, teams should contact AgentX directly for custom pricing.
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