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Warrant

An Authorization Layer for AI Purchasing Agents

Warrant determines whether an AI agent is allowed to spend. Write a spending policy in plain English, review the compiled clauses, and confirm it. Every proposed purchase then receives a deterministic ALLOW, ESCALATE, or DENY decision—with the governing clause cited. Only allowed or human-approved actions proceed to payment, creating a clear, auditable control layer for agentic commerce.

Top comment

Hi Product Hunt! 👋 I built Warrant during the Push to Prod 2026 hackathon to answer a critical question in agentic commerce: **Is this AI agent actually authorized to spend?** Warrant converts a plain-English spending policy into confirmed clauses, then deterministically returns **ALLOW, ESCALATE, or DENY** for every proposed purchase—citing the governing clause. Only allowed or human-approved actions proceed to payment. 🔗 Live project: https://devfolio.co/projects/war... 💻 GitHub: https://github.com/rmanish2000-d... 🎥 Demo: https://www.youtube.com/@aiwarrant 🏗️ Built for: https://agentic-commerce.devfoli... I’d value your feedback on the authorization workflow, decision clarity, and where this control layer could create the most value.

About Warrant on Product Hunt

An Authorization Layer for AI Purchasing Agents

Warrant was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #153 on the daily leaderboard. Warrant determines whether an AI agent is allowed to spend. Write a spending policy in plain English, review the compiled clauses, and confirm it. Every proposed purchase then receives a deterministic ALLOW, ESCALATE, or DENY decision—with the governing clause cited. Only allowed or human-approved actions proceed to payment, creating a clear, auditable control layer for agentic commerce.

On the analytics side, Warrant competes within Payments, Artificial Intelligence, GitHub and Security — topics that collectively have 535.5k followers on Product Hunt. The dashboard above tracks how Warrant performed against the three products that launched closest to it on the same day.

Who hunted Warrant?

Warrant was hunted by Manish Patel. 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 Warrant including community comment highlights and product details, visit the product overview.