AgentX
AI agent orchestration and evaluation platform for shipping reliable AI workforces into marketing operations
Pricing
Free & Paid
Platforms
Web, API, Slack
Developer
AgentX
Rating
4.4 / 5.0
Last Updated
September 3, 2026
Overview
AgentX is an AI agent orchestration and evaluation platform built around one promise: ship AI agents to production with confidence.
It provides a visual multi-agent canvas where an orchestrator agent coordinates specialized member agents — each with its own role, instructions, model, memory, and tools — plus an evaluation layer that runs agents against test sets before deployment.
Runtime evaluation with LLM-as-judge monitors behavior around the clock, and full tracing records every handoff, tool call, and outcome.
The platform is compatible with leading agent frameworks including LangChain, CrewAI, the OpenAI Agents SDK, Anthropic, and Google ADK, so teams can bring agents they already built.
Use Cases
Automating inbound email and ticket triage so 60-80% of messages are resolved or routed without human touch (official claim)
Building marketing ops agents that extract data from invoices, contracts, orders, and forms into an ERP or CRM
Scheduling email, SMS, and chat messages on triggers for campaign and lifecycle operations
Deploying a white-labeled AI agent suite for agency clients with client workspaces and usage metering
Running evaluation suites on content, campaign, or data agents before they touch production audiences
Who Is This For
Marketing ops and RevOps leaders automating document-heavy back-office workflows
AI agencies and consultancies deploying white-label agents under their own brand
Growth teams with engineers who want CI/CD-style evaluation before launching agent automations
Mid-market operations leaders (100-1,500 employees) buying outcomes instead of platforms
Enterprise marketing teams needing on-premise or compliance-ready agent infrastructure
Key Features
Visual Multi-Agent Orchestration
Drag-and-drop canvas where an orchestrator coordinates specialized member agents with roles, instructions, models, memory, tools, branching logic, and human handoff.
Evaluation-First CI/CD
Run agents against test sets before deploy, and keep runtime evaluation with LLM-as-judge active 24/7 to catch regressions, hallucinations, and broken tool calls early.
Full Tracing and Observability
Every handoff, tool call, and outcome is logged and traceable; works with agents built on LangChain, CrewAI, OpenAI Agents SDK, Anthropic, and Google ADK.
One-Click Deployment and Rollback
Ship agents to an API, Slack, web widget, email, or voice with versioning, instant rollback, and logs and traces for every production run.
Cloud or On-Premise Deployment
Deploy in the AgentX cloud or inside your own infrastructure, with audit trails, RBAC, and encryption in transit and at rest for regulated buyers.
Pros & Cons
Pros
- Evaluation and observability are first-class citizens, filling the gap most agent platforms leave after the build step
- One-click deployment to API, Slack, web widget, email, or voice with versioning and rollback
- Compatible with LangChain, CrewAI, OpenAI Agents SDK, Anthropic, and Google ADK so existing agents can be reused
- White-label deployment and client workspaces from the $199 tier make it agency-friendly, with transparent credit billing
- Cloud or on-premise options plus audit, RBAC, and encryption for compliance-sensitive industries
Cons
- A builders-and-agencies platform: marketers will not find ready-made, out-of-the-box marketing agents
- Getting full value requires investing in test sets and an evaluation process first
- Competes head-on with orchestration platforms like LangGraph, Gumloop, and Relevance AI, with lower brand recognition
- Credit billing adds a forecasting step for occasional or low-volume usage
Pricing Plans
Free
For learning, testing, and your first agent.
- 1 workspace
- Up to 5 agents
- 200 one-time credits
- 1 seat
- Multi-agent workflows
- API access
Solo Builder
For builders shipping real workloads.
- Unlimited workspaces
- Up to 25 agents
- 5,000 credits / month
- Additional credits $10 / 1,000
- Production deployment
- Demo evaluation mode
Professional
For first client projects with white-label.
- 10,000 credits / month
- 2 seats (more at $10/mo each)
- White-label deployment
- Client workspaces
- Production deployment and API
Business
For agencies scaling client work.
- Unlimited agents
- 20,000 credits / month
- White-label and client workspaces
- Priority support and SLA
- Demo evaluation mode
Frequently Asked Questions
Editorial Review
Editorial Team
September 1, 2026
Editorial verdict: this review is based on the live AgentX website as of September 2026, because third-party directory descriptions still describe the product as an older chatbot builder. Today AgentX sells orchestration plus evaluation — it runs agents against test sets, keeps LLM-as-judge monitoring active in production, and deploys to API, Slack, web widget, email, or voice with rollback. That evaluation-first stance is genuinely differentiated, since most agent platforms stop at build. The catch is that there are no ready-made marketing agents, and it competes in a crowded orchestration space alongside LangGraph, Gumloop, and Relevance AI.
Editorial Team
August 28, 2026
We stress-tested the credit math for a typical marketing ops workload: with per-action costs shown in the single digits to low teens on the site and overage at $10 per 1,000 credits, the 5,000-credit Solo Builder allowance covers meaningful monthly volume before any top-up. Pricing is transparent, and white-label availability from the $199 tier is a real plus for agencies packaging AI agents for clients.
Related AI Agents
Have an agent to share?
Submit your AI marketing agent to reach thousands of marketers, agencies, and founders every month.
Submit Your Agent