AgentX
Summary
Most agent builders let you prototype in an afternoon and leave you stranded when it's time to test whether the thing actually works — no eval framework, no regression tracking, just vibes and hope before you push to production. AgentX is built around the argument that build without evaluate-and-deploy is a demo, not a product.
The platform covers three stages most tools split across separate vendors: a drag-and-drop canvas for multi-agent workflows, a built-in eval layer where you run agents against test sets before shipping, and one-click deployment to API, Slack, web widget, email, or voice. Versioned deploys with rollback and per-run logs mean incidents are traceable rather than mysterious. For agencies, white-label plans let you ship agents under your own brand. The visual builder will hit its ceiling when branching logic grows complex enough to require conditional depth the canvas cannot cleanly express — at that point teams are either rearchitecting or adding code outside the builder. There is no self-hosted option, so teams with data-residency requirements are blocked before they start.
Bottom line: AgentX earns its place when a solo builder or small ops team needs to go from canvas to production without stitching together a separate eval tool and three deployment targets — but teams with strict on-prem requirements or complex conditional branching that outgrows the visual model will need a different architecture.
Pricing Plans
SubscriptionLast verified 2 weeks ago- Price
- $49/mo
- Free Tier
- 1 workspace, Up to 5 agents, 200 credits (one-time), 1 seat, Multi-agent workflows, API access
Free
Learning, testing, first agent
- 1 workspace
- Up to 5 agents
- 200 credits (one-time)
- 1 seat
- Multi-agent workflows
- API access
Solo Builder
Builders shipping real workloads
- Unlimited workspaces
- Up to 25 agents
- 5,000 credits / month
- Additional credits at $10 / 1,000
- 1 seat
- Deploy to production
- Multi-agent workflows
- API access
- Demo evaluation mode
Professional
First client projects
- Unlimited workspaces
- Up to 25 agents
- 10,000 credits / month
- Additional credits at $10 / 1,000
- 2 seats (add more at $10/mo each)
- Deploy to production
- Multi-agent workflows
- API access
- White-label deployment
- Client workspaces
- Demo evaluation mode
Business
Agencies scaling client work
- Unlimited workspaces
- Unlimited agents
- 20,000 credits / month
- Additional credits at $10 / 1,000
- 2 seats (add more at $10/mo each)
- Deploy to production
- Multi-agent workflows
- API access
- White-label deployment
- Client workspaces
- Demo evaluation mode
- Priority support
- Priority SLA
Enterprise
Enterprise AI infrastructure & process automation
- Unlimited workspaces, agents, seats
- Custom credit volume & pricing
- Deploy to production
- Multi-agent workflows
- API access
- White-label deployment
- Full agent evaluation program
- Security & compliance
- SSO
- Dedicated infrastructure
- On-premise deployment
- Enterprise SLA
- Deployment support
View full pricing on agentx.so →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Built-in eval against test sets before every deploy, so broken tool calls and hallucinations surface in testing rather than in production incidents you are debugging at midnight.
- One-click deployment to API, Slack, web widget, email, and voice from a single canvas, which means you are not maintaining separate integration configs for each channel your agent touches.
- Versioned deploys with one-click rollback and per-run logs and traces, so when an agent regresses you can identify exactly which version introduced the problem and revert without a redeploy ceremony.
- White-label plans for agencies, which means you can ship and maintain agents under your own brand without building a separate deployment layer or explaining your toolchain to clients.
- Free tier with no credit card requirement, so a solo builder can reach a working prototype and validate the platform's eval workflow before committing budget.
Cons
Sign in to edit- No self-hosted option exists — the vendor states this directly by omission, with cloud-only deployment described throughout. Teams in regulated industries with data-residency requirements or air-gap policies cannot use AgentX regardless of budget and will need to evaluate open-source alternatives that support on-prem.
- The visual canvas has a practical ceiling on branching complexity. When a workflow requires conditional depth across multiple agents — branching based on what the previous step returned, with separate paths for edge cases — the drag-and-drop model stops expressing the logic cleanly. Teams at that scale typically add a code layer outside the builder, which means they are now maintaining two systems and the visual canvas is no longer the source of truth.
- The managed delivery track (where AgentX builds and runs the process for you) is scoped to one process per engagement. Teams expecting an ongoing outsourced automation function rather than a discrete project will find the model too narrow and move to a managed services vendor with a broader remit.
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About
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-28T13:17:18.964Z
Best For
Who it's for
- Solo builders shipping production agents
- Internal teams automating workflows
- AI agencies needing white-label solutions
- Operations leaders outsourcing process automation
What it does well
- Automating document handling and customer operations
- Onboarding and back-office workflows
- Deploying agents to API, Slack, web, or voice
- White-label agent deployment for agencies
Discussion Community
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Frequently Asked Questions
- Is AgentX free?
- AgentX has a permanent free tier alongside paid upgrades (paid plans from $49/mo). You can keep using a baseline version indefinitely without paying.
- Is AgentX open source?
- No — AgentX is a closed-source tool. Source code is not publicly available.
- Does AgentX have an API?
- Yes. AgentX exposes a developer API. See the official documentation at https://agentx.so for details.
Hours Saved & ROI Stories Community
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Curated lists that include this category
AgentX is an agent-building platform that takes a workflow from canvas to production without requiring separate tooling for evaluation or deployment. The core builder is drag-and-drop: you wire together agents, attach tools, configure memory, add branching logic, and set human handoff points. When the workflow is ready, you run it against test sets inside the same platform — catching hallucinations and broken tool calls before users see them — then deploy to API, Slack, web widget, email, or voice in a single action.
The differentiating commitment is the evaluate step sitting between build and deploy. The vendor states this explicitly: most agent platforms stop at ‘build,’ and AgentX built the next two steps first. That means regression tracking is native, not bolted on. When an agent update breaks something a previous version handled correctly, you find out in the test run — not in a support ticket.
The platform fits solo builders shipping production agents, internal operations teams replacing manual processes, and AI agencies that need to deliver and maintain agents under their own brand. White-label plans cover the agency case. Where it breaks: there is no self-hosted option, so any team with data-residency or air-gap requirements cannot use this. The visual model also has a practical ceiling — when workflows require deep conditional branching across four or more agents, the canvas becomes the constraint and teams either simplify the workflow or move logic outside the builder entirely.
AgentX also offers a managed delivery track where their team scopes, builds, and runs a process on your behalf — described as fixed scope with clear success criteria. Deployment targets in the builder include API, Slack, web widget, email, and voice. The platform reports 150,000+ users and provides a free entry point that requires no credit card, with paid tiers unlocking higher usage and white-label capability.