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AgentShield
AI agent spend firewall
Stop runaway AI agents. 7 composable spend rules, <1ms eval, pure Python stdlib. 50/50 eval gym.
Top comment
Built after an agent burned $2,800 in 60 seconds at 3am. Now every API call is checked against 7 rules before it executes.
About AgentShield on Product Hunt
“AI agent spend firewall”
AgentShield was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #124 on the daily leaderboard. Stop runaway AI agents. 7 composable spend rules, <1ms eval, pure Python stdlib. 50/50 eval gym.
On the analytics side, AgentShield competes within Developer Tools — topics that collectively have 517.4k followers on Product Hunt. The dashboard above tracks how AgentShield performed against the three products that launched closest to it on the same day.
Who hunted AgentShield?
AgentShield was hunted by Maryan K. 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 AgentShield including community comment highlights and product details, visit the product overview.