Clawgate puts you in charge of how your team uses Claude Code. Set a budget. Pick the model. See what every project costs. No surprise bills.
Are you sure your team uses AI only for company projects?
And if you trust them completely, do you know which project costs what?
Clawgate answers both: every request is tied to a project before it runs, and you see the cost broken down per project and per person.
When you give AI to your team, you can’t see the spend until the invoice arrives. The biggest companies in the world are finding this out the hard way.
Used up its entire 2026 AI budget in four months.
After giving Claude Code to about 5,000 engineers, the cost per engineer hit $500 to $2,000 a month and blew past the budget. Their answer was blunt usage caps. Clawgate goes further: set hard limits and decide which models your team can use, so you serve lower-cost models when full power isn’t needed.
Source: Fortune →
Moved to cap employee AI usage as costs approached billions.
Staff used 73.7 trillion tokens in just 30 days, racing to top an internal leaderboard. Meta is now building usage tracking and budgets, because, in its CTO’s words, “token usage alone is not a measure of impact of any kind.”
Source: The Information →Staff can run company AI on private side projects. The company still pays for it.
Even when you trust your team, you can’t tell which project cost what. The bill is just one big number.
Claude Code picks the model on its own. You pay for that choice, with no say in it.
Companies can save millions by giving engineers AI. But the moment you lose control of how it’s used, those savings turn into waste and surprise bills.
Clawgate is that control layer. Point Claude Code at Clawgate with a
vsk_…
key. Every request is checked against your budget and tied to a user and a project
before it ever runs.
Daily and weekly token, session, and USD caps per user and per project. When the cap is hit, the request stops.
Pick which Claude models your team can use. You decide what runs, so you control what it costs.
Per-user and per-project cost breakdowns, transparent pass-through pricing, and monthly invoices.
No new tools for your engineers to learn. It’s a one-line endpoint change.
Point Claude Code at your Clawgate gateway and hand each developer a vsk_… key. That’s the whole setup.
Define budgets, allowed/forced models, and per-project rules with simple toggles. No code, no config files.
Track spend per user and project, get monthly invoices, and surface abuse signals before they cost you.
Daily & weekly token, session, and USD caps per user and per project. Spend literally cannot exceed the cap.
Pick which Claude models your team can use. You decide what runs, so you can serve lower-cost models and control the cost per request.
Scope every request to a project with the x-project-id header. Finally know which project cost what.
Real-time usage and cost dashboards, per-user breakdowns, and history retained from 7 days up to unlimited.
Privacy-safe fingerprints flag shared keys, content mismatches, and usage spikes. We never read your raw code.
AI costs passed through at cost with a clear platform fee. Cache savings passed on. Failed requests are never billed.
Setup is a single endpoint change for your team. After that, everything is dashboard toggles: set a budget, pick the models, watch the spend. No surprises, no waste. Just the savings AI was supposed to deliver.
You pay for AI at cost, plus a clear platform fee. Budgets are hard stops, so the bill can’t run away.
Full cost transparency, metered.
$0 minimum · up to 10 users
Start freeBudgets, history, and exports.
90-day history · up to 20 users
Get StartedGive your team the AI they need. Give yourself the visibility and control you need.
