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Veto - Protect your agent spending
The guard that can actually stop an AI agent when it matters
Veto sits between your AI agents and the payment rails. Set a policy once - caps, allowlists, time windows, categories - and every payment is checked against it in real time: allowed, denied, or escalated to a human. It's not just monitoring. On crypto rails the block is enforced on-chain (a Safe + guard contract that reverts an out-of-policy transaction), and every decision comes with a signed, verifiable receipt. CLI, API, and MCP-native. Drop it in front of any agent in minutes.
Hey Product Hunt 👋
I built Veto after watching how fast AI agents are starting to spend real money - paid APIs, subscriptions, crypto, cards - with basically nothing standing between "the model decided to" and "the money's gone."
Most tools watch agent spending and alert you after the fact. That never sat right with me. I wanted something that could actually say NO in the moment it matters most - a hard stop, not a dashboard you read the next morning.
So Veto is an enforcement layer, not a monitor. You create a simple policy (per-transaction caps, daily/monthly limits, merchant allowlists, time windows, blocked categories). Every payment an agent tries to make gets checked against it and is allowed, denied, or escalated to you. On crypto rails the block is enforced on-chain - an out-of-policy transaction literally can't go through. And every decision produces a signed receipt you can verify later.
It's CLI, API, and MCP-native, so it drops in front of pretty much any agent.
Still early and I'd genuinely love your feedback - especially if you're building agents that touch money. What would you want a guard like this to catch? 🙏
About Veto - Protect your agent spending on Product Hunt
“The guard that can actually stop an AI agent when it matters”
Veto - Protect your agent spending was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #137 on the daily leaderboard. Veto sits between your AI agents and the payment rails. Set a policy once - caps, allowlists, time windows, categories - and every payment is checked against it in real time: allowed, denied, or escalated to a human. It's not just monitoring. On crypto rails the block is enforced on-chain (a Safe + guard contract that reverts an out-of-policy transaction), and every decision comes with a signed, verifiable receipt. CLI, API, and MCP-native. Drop it in front of any agent in minutes.
On the analytics side, Veto - Protect your agent spending competes within Payments, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Veto - Protect your agent spending performed against the three products that launched closest to it on the same day.
Who hunted Veto - Protect your agent spending?
Veto - Protect your agent spending was hunted by Tomer Meirovich. 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.
For a complete overview of Veto - Protect your agent spending including community comment highlights and product details, visit the product overview.
Tomer Meirovich