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Clawgate
Cost control and governance for Claude Code and Codex
Control your team's AI spend on Claude Code and Codex with hard-stop budgets, model controls, and per-project cost visibility. Built in prompt compression cuts token spend by up to 92% on heavy agent workloads. Never a surprise bill.
I'm CK, Engineering Lead at Virstack LLC. Clawgate started as an internal tool we built to solve our own problem.
Here's what happened. Like a lot of teams, we gave our engineers Claude Code and Codex, and the productivity jump was real and immediate. But a few weeks in, our AI bill had climbed in a way none of us could explain. We couldn't see who was spending what, which projects were burning the most, or why a documentation task had quietly run on a frontier model all weekend.
Turns out we weren't alone. Uber burned through its entire annual AI budget in four months. Meta's engineers ran up 73.7 trillion tokens in a single month racing an internal usage leaderboard. If it can happen to them, it can happen to a 30-person team. It happened to us.
So we built Clawgate. It's an API gateway and dashboard that sits between your developers and the AI providers.
What it does: 🔹 Track spend by user and by project, in real time 🔹 Set hard budget caps (daily/weekly, in sessions, tokens, or dollars) that actually stop the bill
🔹 Get usage alarms and email notifications when spend crosses a threshold you set (fully configurable) 🔹 Control which models each team can use & keep the expensive ones for who truly needs them 🔹 Mix and match models across providers, so Claude Code and Codex run on whatever's cheapest for the job 🔹 Compress bulky context before it hits the model (up to 92% fewer tokens, accuracy held) 🔹 Catch abuse: leaked keys, spikes, shared credentials without ever reading your code
Setup takes minutes. It's a one-line endpoint change in Claude Code or Codex, and your team never has to learn a new tool or change how they work.
The whole idea: keep the speed AI gave you, without the surprise bill.
We'd genuinely love your feedback! What would make this a no-brainer for your team? And if you're running Claude Code or Codex across a team right now, I'm especially curious how you're handling cost today. Happy to answer anything in the comments 🙏
About Clawgate on Product Hunt
“Cost control and governance for Claude Code and Codex”
Clawgate was submitted on Product Hunt and earned 11 upvotes and 14 comments, placing #61 on the daily leaderboard. Control your team's AI spend on Claude Code and Codex with hard-stop budgets, model controls, and per-project cost visibility. Built in prompt compression cuts token spend by up to 92% on heavy agent workloads. Never a surprise bill.
On the analytics side, Clawgate competes within Developer Tools and Artificial Intelligence — topics that collectively have 989.6k followers on Product Hunt. The dashboard above tracks how Clawgate performed against the three products that launched closest to it on the same day.
Who hunted Clawgate?
Clawgate was hunted by CK. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
CK
Hey Product Hunt 👋
I'm CK, Engineering Lead at Virstack LLC. Clawgate started as an internal tool we built to solve our own problem.
Here's what happened. Like a lot of teams, we gave our engineers Claude Code and Codex, and the productivity jump was real and immediate. But a few weeks in, our AI bill had climbed in a way none of us could explain. We couldn't see who was spending what, which projects were burning the most, or why a documentation task had quietly run on a frontier model all weekend.
Turns out we weren't alone. Uber burned through its entire annual AI budget in four months. Meta's engineers ran up 73.7 trillion tokens in a single month racing an internal usage leaderboard. If it can happen to them, it can happen to a 30-person team. It happened to us.
So we built Clawgate. It's an API gateway and dashboard that sits between your developers and the AI providers.
What it does:
🔹 Track spend by user and by project, in real time
🔹 Set hard budget caps (daily/weekly, in sessions, tokens, or dollars) that actually stop the bill
🔹 Get usage alarms and email notifications when spend crosses a threshold you set (fully configurable)
🔹 Control which models each team can use & keep the expensive ones for who truly needs them
🔹 Mix and match models across providers, so Claude Code and Codex run on whatever's cheapest for the job
🔹 Compress bulky context before it hits the model (up to 92% fewer tokens, accuracy held)
🔹 Catch abuse: leaked keys, spikes, shared credentials without ever reading your code
Setup takes minutes. It's a one-line endpoint change in Claude Code or Codex, and your team never has to learn a new tool or change how they work.
The whole idea: keep the speed AI gave you, without the surprise bill.
We'd genuinely love your feedback! What would make this a no-brainer for your team? And if you're running Claude Code or Codex across a team right now, I'm especially curious how you're handling cost today. Happy to answer anything in the comments 🙏