AgentX AI

Founded 2023

Build, evaluate, monitor, and deploy multi-agent workflows across your enterprise infrastructure

Pricing model

Free Tier, Paid

You can use AgentX to orchestrate, evaluate, trace, and monitor multi-agent systems from testing to production. It lets you create drag-and-drop workflows where cooperating agents manage tasks using assigned tools, memory, and models. You can test your agents against custom datasets before deployment, tracking regressions through continuous evaluation pipelines. The system monitors live agent interactions with automated evaluations to identify hallucinations, broken tool calls, or prompt drift. You can deploy agents across Slack, email, voice, or custom APIs with instant version rollbacks.

What AgentX AI does

Run automated test sets against AI agents in CI/CD pipelinesTrace model calls, tool executions, and data retrievals per runConfigure multi-agent teams with specific roles and tool permissionsSet up real-time alerts for prompt drift and execution failuresDeploy AI agent endpoints to Slack, email, and web widgetsSynthesize evaluation datasets from historical documents and chat logsRoll back failing agent releases with a single clickDrag-and-drop builder for multi-agent coordination and human handoffsPre-deployment testing suites to track regressions in CI/CD pipelinesFramework-agnostic tracing for LangChain, CrewAI, Anthropic, and Google ADKContinuous runtime monitoring using LLM-as-judge scoring modelsAutomated detection of hallucinations, broken tool calls, and latency spikesOne-click deployment to Slack, web chat widgets, voice, email, and REST APIsEnterprise security support including on-prem hosting, RBAC, and SOC 2 controls