Pricing

Scalable & Predictable Pricing

Choose the plan that fits your stage.

Free
$0
Get started fast
  • Top LLM Models
  • 50 messages/month
  • 1 AI agent
  • 1 member
  • 400 KB per agent
Hobby
$29
Everything in Free with
  • 2,500 messages/month
  • 2 members
  • Full Integrations
  • API Access
  • 4 behaviour policies
  • 10 AI Actions per agent
  • Basic Analytics
  • 25 MB per agent
Pro
$299
Everything in Growth with
  • 40,000 messages/month
  • 5 members
  • 15 AI Actions per agent
  • Advanced Analytics
  • Ticketing System
  • 80 MB per agent
Enterprise
Lets Talk!
Contact sales
Everything in Pro with
  • Higher limits
  • SLA
  • Account manager
  • Priority support

Add-ons

Extra message credits

Automatically top up when monthly credits run out.

$10 per 1,000 message credits
Extra agents

Add additional agents to any workspace.

$7 per month
Remove "Powered by MitsoLab"

Remove MitsoLab branding from deployed agents.

$29 per month
Custom Domain

Use your own domain for the chat page and web embed.

$19 per month

FAQs

A full AI response to a user message counts as one message credit. Actions, tool calls, and data lookups used to produce that same response do not consume additional credits.
Credits renew at the start of each calendar month, regardless of your signup date. If you subscribe on January 12th, your credits reset on February 1st.
No. Actions do not consume extra message credits.
When you reach your monthly limit, your agent will pause responses until credits renew or you upgrade your plan. You can enable auto-refill to automatically add credits.
Yes. Upgrades take effect immediately, while downgrades apply at the next billing cycle.
You keep access until the end of your current billing period. After that, your account moves to the free plan.
No. Your data is not used to train generalized AI models. It is only used to power your own agent.
Yes. Message credits are shared across all agents in the same workspace.
Pro includes core analytics: FAQ usage, unanswered questions, product interest, escalation rate, and rule triggers. These show what customers ask, where the agent fails, and how to improve responses.
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