Pricing across the LLM-side and the User-side, with Responsibility spanning both.
CLARIXO pricing is structured across two primary sides. Core Runtime API follows the main LLM-side pricing ladder, Evidence API remains the separate User-side self-serve path, and Audit Workspace belongs to the User-side architecture while access to it is provided through Responsibility rather than standalone purchase.
Choose the product path that matches your operating stage
Runtime control and governed execution
Choose the commercial depth that matches how far your AI system has moved into production operation, operator handling, and execution governance.
Builder
Start building with core CLARIXO runtime access, routing basics, and essential runtime visibility.
Recommended for first integrations, small teams, and early production validation.
per month
- Up to 3 projects
- Core API access
- Routing and fallback basics
- Essential runtime signals
Pro
Scale into production with deeper runtime visibility, drift signals, fallback control, and explainable execution review.
Recommended for production teams that need stronger runtime visibility and scaling support.
per month
- Up to 10 projects
- Higher monthly API volume
- Deeper runtime visibility
- Drift, fallback, and confidence visibility
Business
Operate live AI systems with AgentOps: runs, triage, queue, escalation, and operator-facing workflows.
Recommended for teams already running live agents and needing operator-facing control.
per month
- Everything in Pro
- AgentOps runs and run detail
- Queue, triage, and escalation workflow
- Operator action visibility
Control
Govern execution with Approval Gateway, proposed action review, and explicit execution governance before live execution continues.
Recommended for teams that need approve, block, escalate, and governed execution control in production.
per month
- Everything in Business
- Approval Gateway access
- Execution governance
- Approve, block, and escalate flow
Behavior evidence and formal review
Start from the user-facing evidence path when your first need is proving what AI did, then move into formal review when responsibility-sensitive handling becomes necessary.
Evidence API
Export user-facing AI behavior as traceable, provable, and auditable evidence records without changing the runtime path first.
Recommended for teams that want the fastest user-side entry and a permanent free evidence path.
per month · permanently free
- Self-serve start path
- Behavior evidence export
- Traceability and proof support
- First write and first read workflow
Audit Workspace
Read grouped evidence, carry reviewer context, and prepare structured case export when formal review is required.
Recommended for teams evaluating review-grade handling on the user-side.
Available with Responsibility
- Grouped evidence reading
- Reviewer notes and case context
- Formal case export
- Used together with Responsibility
Responsibility spans the LLM-side and the User-side.
Responsibility is the commercial layer that connects governed execution with formal evidence review. It should be read before Enterprise, because it is the true cross-side layer between runtime governance and user-side review. On one side it depends on execution governance and operator control, and on the other side it unlocks the review-grade surface needed for case reading, reviewer context, and structured handoff.
Enterprise
Extend from the Responsibility layer into organization-wide governance, policy layering, audit depth, deployment design, and multi-team operating structure.
Recommended for organizations that already need cross-side responsibility handling and now require organization-wide rollout, policy design, and ownership structure.
contact us
- Policy layering and ownership design
- Full decision trace and audit depth
- Deployment design and rollout structure
- Multi-team governance support