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AgentX

Platform to build, evaluate and deploy AI agents: visual multi-agent workflows, evals and one-click deploys.

What is AgentX, in two sentences

AgentX is a platform to build, evaluate and deploy AI agents: visual multi-agent workflows, test sets scored by LLM judges, and one-click deployment to the API, Slack, Teams, WhatsApp, a web widget or email. Free costs $0 with 200 one-time credits; Solo Builder is $49 a month or $490 a year with 5,000 credits a month.

About AgentX

Workflows are designed visually: an orchestrator agent delegates to specialist sub-agents, each with its own role, knowledge access and permissions, and you can add tools, memory, branching logic and human-in-the-loop checkpoints without writing infrastructure code. You bring your own LLM or pick one AgentX offers, can create and edit workflows by chatting, and can give agents private RAG knowledge bases with hybrid search, knowledge graphs and parsing for complex PDFs, spreadsheets and scans.

Agents act through built-in tools such as document, image and video generation, lead capture, calendars and email, MCP servers installed in one click, or custom Python tools (Solo Builder and up), hand-written or described in plain English, that run in isolated sandboxes. Every tool call passes one permission and auth layer, credentials stay in an encrypted workspace vault outside the agent context, and each call is logged with parameters, response, latency and cost, searchable for 90 days (longer on Enterprise).

Evaluation turns production traces or dropped-in documents into test sets, runs an agent against them for a score, and produces a report that traces every action, tool call and data layer. A panel of LLM judges from different vendors scores the runs, suggested fixes can be applied in one click before a re-run, and failing evals can block a deployment; a Python SDK records traces from LangChain, CrewAI or OpenAI Agents and can gate merges on a pass-rate threshold.

Free includes 1 workspace, up to 5 agents, 1 seat, API access and 200 one-time credits but no production deployment. Solo Builder adds production deployment, up to 25 agents and 5,000 credits a month, with more at $10 per 1,000; two agency plans add white-label deployment and client workspaces, the larger at $299 a month or $2,990 a year; Enterprise is custom, scoped per process, with SSO, dedicated infrastructure and cloud, hybrid or on-premise deployment.

Sources: agentx.so/ai-evaluation, /pricing, /docs, /product, /enterprise and /product/integrations, read 2026-10-27

AgentX pros and cons

Pros

  • The Free plan needs no credit card and includes API access and multi-agent workflows.
  • Deployments are versioned with instant rollback, and every run keeps full logs and traces.
  • AgentX maintains an open-source collection of MCP servers on GitHub, and its docs cover installing MCP servers on the platform or locally with npm for Claude Desktop.
  • On its Enterprise page, AgentX says no customer data is used to train external models and lists EU data residency.

Cons

  • On Solo Builder and the agency plans, agent evaluation runs in a demo mode with limited runs, sample datasets and basic metrics; the full evaluation program comes only with Enterprise, and Free has no agent evaluation.
  • When credits run out, agents pause until you buy more or the monthly allowance resets, and the Free plan's 200 credits are one-time.
  • Solo Builder has 1 seat, and the agency plans include 2 with more at $10 a month each.

Tagged

  • Web-based
  • Agentic Mode

AgentX alternatives

The closest alternatives to AgentX.

  1. 01
    Sim

    Open-source workspace for AI agents and workflows

    →
  2. 02
    Latitude

    MIT-licensed monitoring for production AI agents that finds failures and hands them to your coding agent.

    Freemium →
  3. 03
    Prefactor

    Evaluate your AI Agents in real-time

    →
  4. 04
    oqoqo

    Build evals and custom benchmarks for real-world tasks

    →

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Frequently asked questions

Is AgentX free?
AgentX offers a free tier and paid plans with higher limits or premium features.
What are the alternatives to AgentX?
The closest alternatives to AgentX are Sim, Latitude, Prefactor, oqoqo.
What are the downsides of AgentX?
On Solo Builder and the agency plans, agent evaluation runs in a demo mode with limited runs, sample datasets and basic metrics; the full evaluation program comes only with Enterprise, and Free has no agent evaluation. When credits run out, agents pause until you buy more or the monthly allowance resets, and the Free plan's 200 credits are one-time. Solo Builder has 1 seat, and the agency plans include 2 with more at $10 a month each.
What is AgentX?
AgentX, at agentx.so, is a platform to build, evaluate and deploy AI agents in one workspace. You design multi-agent workflows visually, test agents against datasets scored by LLM judges, and ship them to channels such as Slack, Teams, WhatsApp, a web widget or email.
How much does AgentX cost?
Free is $0 with 200 one-time credits, and Solo Builder is $49 a month or $490 a year with 5,000 credits a month; extra credits cost $10 per 1,000. Of the two agency plans, the larger is $299 a month or $2,990 a year, and Enterprise is custom, scoped per process.
Which AI models does AgentX support?
The pricing FAQ lists OpenAI (GPT-4o, o1), Anthropic (Claude Sonnet, Opus, Haiku) and Google (Gemini Pro and Flash), all available on every paid plan. Per interaction, Claude Haiku uses 3 credits, Gemini Pro 8, GPT-4o 10 and Claude Sonnet 12.
Does AgentX have an API or SDK?
Every plan, including Free, lists API access. For evaluation, a Python SDK records traces from LangChain, CrewAI or OpenAI Agents, scores runs against test datasets and can gate merges on a pass-rate threshold.
Can I run agent evaluations on the free plan?
No: the Free plan has no agent evaluation. Solo Builder and the agency plans get a demo mode with limited evaluation runs, sample datasets and basic metrics, while the full program, with agent risk mapping, custom datasets and multi-run reliability testing, comes with Enterprise.