ACTEX / Pay / Pricing

Free during beta

All features are free while ACTEX is in beta. No credit card required.

Plans

Pick the plan that fits your agent workload.

Free

$0/mo

For experimentation and sandbox testing.

  • 500 checkout sessions/mo
  • 100 post-purchase ops/mo
  • 50 verification runs/mo
  • 100 MB storage
  • 14-day retention
  • 1 seat
  • SANDBOX only
Start free

Pro

$49/mo

For individual builders shipping to mainnet.

  • 5,000 checkout sessions/mo
  • 500 post-purchase ops/mo
  • 200 verification runs/mo
  • 1 GB storage
  • 90-day retention
  • 1 seat (+$19/seat)
  • SANDBOX + MAINNET
Get started

Team

$199/mo

For teams running production agent fleets.

  • 25,000 checkout sessions/mo
  • 2,500 post-purchase ops/mo
  • 1,000 verification runs/mo
  • 5 GB storage
  • 180-day retention
  • 5 seats (+$29/seat)
  • SANDBOX + MAINNET
Get started

Enterprise

Custom

For organizations needing SLAs and dedicated environments.

  • Negotiated checkout sessions
  • Negotiated post-purchase ops
  • Unlimited verification runs (SLA)
  • 25 GB+ storage
  • Custom retention
  • Custom seats
  • Dedicated environments
Talk to us

Compare plans

Full tier comparison

Free Pro Team Enterprise
Checkout sessions/mo 500 5,000 25,000 Negotiated
Post-purchase ops/mo 100 500 2,500 Negotiated
Verification runs/mo 50 200 1,000 Unlimited (SLA)
Storage 100 MB 1 GB 5 GB 25 GB+
Retention 14 days 90 days 180 days Custom
Seats 1 1 (+$19/seat) 5 (+$29/seat) Custom
Environment SANDBOX only SANDBOX + MAINNET SANDBOX + MAINNET Dedicated envs

Overage rates

Pay-as-you-go beyond your plan limits

Overages are billed at the end of each billing cycle. Free tier has no overage — usage stops at the limit.

Meter Pro Team Enterprise
Per checkout session $0.02 $0.015 Negotiated
Per post-purchase op $0.05 $0.04 Negotiated
Per verification run $0.10 $0.08 Negotiated
Per GB stored/month $0.50 $0.40 Negotiated

Need a custom plan?

Enterprise plans include dedicated environments, custom SLAs, priority support, and negotiated pricing for high-volume workloads.