Token Attribution
Trace every token to a team, project, app, and cost center across every provider. Showback is ready for finance.
- Engineering$6,400
- Product$2,400
- Operations$1,200
Stacklet Token Custodian
The control plane for AI token attribution and usage governance
Book a demoTeams + Apps
Monthly token spend
$246,800
Outcomes
Attribution
Unknown caller · no project tag
RequestBlocked
Routing
Finance · forecast-bot
Claude FableClaude Sonnet
Cost saved80%
Budget
Alice · VP of Engineering
Limit raised · until Oct 31+$20,000
Containment
Web Support Agent
Ticket openedSUP-4812
Governing our AI spend so it drives value, not waste, is exactly what we’re after, and most tools either stop at reporting or weren’t built for FinOps and governance workflows. Token Custodian does both, and it works right inside the tools our teams already use, like Claude Code and Slack, so governance doesn’t slow anyone down.
Lindbergh MatillanoDirector of Cloud & AI Optimization, AvalaraTrace every token and agent run to the team, project, app, and cost center behind it, then enforce policy on it. One view across multiple providers, so spend answers to value.
Token attribution
Policy controls
No hard stop. Work keeps moving.
Set budgets and usage policies by team, project, or environment, from model routing to spend caps. At a threshold, Token Custodian acts in real time through multi-step workflows, not just blocks, so teams keep moving and spend pays off.
Built by the team behind Cloud Custodian, the policy engine enterprises have trusted for over ten years. The same policy-driven automation you trust for cloud, now acting on AI tokens in real time.
The Cloud Custodian approach
Spend by team
Recent actions
Token CustodianApp
Sam hit 120% of budget on checkout-svc and requested an exception.

FinOps · UI
Platform · policy.yml
policies:
- name: "Block on budget overrun"
resource: ai.chat
mode:
type: chat-pre-call
filters:
- type: budget
value-percentage: 90
op: greater-than
actions:
- type: modify
model: efficient-model
message: "You are overbudget for your project, rerouted to efficient model"
Synced to Git
Internal
Production
Guardrails · Claims agent · run #8812Live
Context near limit · summarize or pause at 200k
Trace every token to a team, project, app, and cost center across every provider. Showback is ready for finance.
Send each request to the right model for the job. Routine work runs on efficient models, and premium models are saved for work that needs them.
Set budgets by team, project, and cost center. At a threshold, route, alert, or request approval. Cap only when you need to.
Set limits on agent steps, run time, and context growth. When an agent crosses one, Token Custodian takes action: pause the run, alert the owner, or kick off a workflow.
See Token Custodian attribute, govern, and act on real token spend.
Take Control
A control plane for AI token usage. It attributes every token to a team, project, app, and cost center, then enforces budget and usage policy on it across every provider.
Token Custodian is vendor-neutral. It governs major model providers like Anthropic and OpenAI, and leading cloud AI services like AWS Bedrock, Google Vertex, and Azure AI, all from one place.
A gateway manages traffic, routing and limiting per key. Token Custodian adds granular attribution and a policy layer for usage governance, tracing every token to a team or project and acting on it, like shifting to a cheaper model or routing an exception to the budget owner.
Only if you want it to. Policies escalate step by step: alert, add friction, route to efficient models, or request an approval. Capping is the last step, not the first.
Token Custodian comes from the same team behind Cloud Custodian, and applies the same proven approach: one policy language, and policies that take action in real time through multi-step workflows. Now pointed at AI tokens.
Yes, Token Custodian does both. FinOps can set budgets and rules in the UI, and platform teams can write complex policies as code in Git, keyed off your project metadata.