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Paitify
The authorization layer for AI agent spending
AI agents ask Paitify before they pay: instant approve/deny against your policies, human in the flow, and a tamper-evident audit trail of every decision. Rail-agnostic, MCP-native, works with Claude. Never moves your money.
Hey PH 👋
Solo founder here!
I built Paitify nights and weekends around my day job as a product engineer.
The itch: AI agents are about to get spending power, the payment networks are building the rails, and anyone running agents against paid APIs has felt the question coming: what happens when the agent can buy things? Right now the answers are "give it your card and pray" or "approve every $3 purchase manually." I wanted a third option to exist before this gets big, not after.
Paitify sits between the agent and the payment. The agent asks before it pays: "can I spend $600 at AWS?" Paitify checks your policies, thresholds, merchant rules, monthly caps and answers instantly. Spends under your threshold auto-approve; big ones wait for a human tap in the dashboard. Every decision lands in a hash-chained, append-only audit log.
The deliberate design choice: Paitify never moves money. No custody, no card issuing, no rails. It's a decision-and-evidence layer, which keeps it unregulated and rail-agnostic, works the same whether the agent pays by card, bank, or crypto.
Try it without signing up: the homepage has a live policy playground, and there's a 90-sec demo of Claude trying to authorize things through it. If you use Claude, you can connect the MCP server (connect.paitify.io/mcp) and authorize a spend right now.
One design point worth being upfront about: today the integration is cooperative, the agent's side calls Paitify. But approvals are JWT-signed and verifiable offline, which means the enforcement point can move to where it belongs: the thing executing the payment checks for a valid authorization, independently of what the agent claims. That's the roadmap, and it's why the signed-token design exists.
What I most want from this thread: if you'd let an agent spend real money, what would it take for you to trust it? Building this solo, and every answer here genuinely shapes what I build next.
About Paitify on Product Hunt
“The authorization layer for AI agent spending”
Paitify was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #48 on the daily leaderboard. AI agents ask Paitify before they pay: instant approve/deny against your policies, human in the flow, and a tamper-evident audit trail of every decision. Rail-agnostic, MCP-native, works with Claude. Never moves your money.
On the analytics side, Paitify competes within Fintech, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Paitify performed against the three products that launched closest to it on the same day.
Who hunted Paitify?
Paitify was hunted by rahman kapucu (RKpc). 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 Paitify including community comment highlights and product details, visit the product overview.
rahman kapucu (RKpc)