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Point One Percent - AI Agent Pay
Zero-knowledge payment guardrails for AI Agents.
It only takes 0.1% of hallucination to drain 100% of your wallet. Giving your AI agent a credit card is risky. Point One Percent (pop-pay) is an open-source payment layer that solves the trust crisis in Agentic AI workflows. It acts as a strict financial brain, intercepting hallucinations and enforcing hard budget limits before any money is spent. Integrates instantly via MCP with OpenClaw, Claude Code, and browser-use.
Hi Product Hunt, I am the creator of Project Point One Percent Pay.
"It only takes 0.1% of hallucination to drain 100% of your wallet!"
We are entering the era of Agentic AI, but agents are financially handicapped. If an agent hits a paywall for an API key or a domain registration, the workflow stops. If you hardcode your credit card into the agent, you risk catastrophic bills from infinite loops or prompt injections.
I built Project Aegis to solve this. It acts as the financial brain for your browser agents.
It features a Dual Architecture:
Hacker Edition: Bring your own card (BYOC). Aegis intercepts the checkout process and injects your real card data directly into the browser DOM via CDP. The LLM only ever sees masked numbers, completely eliminating credential leaks.
*The most satisfying test, an AI agent helped me bought a Maker Faire Bay Area 2026 ticket end-to-end —
billing page → Zoho payment processor → card injected — without ever seeing a real card number.
That's what 'zero-knowledge' means in practice.
Enterprise Edition: Programmatically issue real, single-use virtual credit cards via the Stripe Issuing API.
Along with broader protection mechanisms designed to bring fully autonomous agents into enterprise purchasing workflows.
Aegis handles the budget enforcement and semantic guardrails, while your browser agent handles the web navigation. It works out of the box via MCP.
I would love to hear your feedback on the architecture and our approach to zero-knowledge agent payments.
About Point One Percent - AI Agent Pay on Product Hunt
“Zero-knowledge payment guardrails for AI Agents.”
Point One Percent - AI Agent Pay was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #87 on the daily leaderboard. It only takes 0.1% of hallucination to drain 100% of your wallet. Giving your AI agent a credit card is risky. Point One Percent (pop-pay) is an open-source payment layer that solves the trust crisis in Agentic AI workflows. It acts as a strict financial brain, intercepting hallucinations and enforcing hard budget limits before any money is spent. Integrates instantly via MCP with OpenClaw, Claude Code, and browser-use.
On the analytics side, Point One Percent - AI Agent Pay competes within Fintech, Artificial Intelligence, GitHub and Security — topics that collectively have 558.9k followers on Product Hunt. The dashboard above tracks how Point One Percent - AI Agent Pay performed against the three products that launched closest to it on the same day.
Who hunted Point One Percent - AI Agent Pay?
Point One Percent - AI Agent Pay was hunted by TPEmist. 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 Point One Percent - AI Agent Pay including community comment highlights and product details, visit the product overview.
TPEmist
Hi Product Hunt, I am the creator of Project Point One Percent Pay.
"It only takes 0.1% of hallucination to drain 100% of your wallet!"
We are entering the era of Agentic AI, but agents are financially handicapped. If an agent hits a paywall for an API key or a domain registration, the workflow stops. If you hardcode your credit card into the agent, you risk catastrophic bills from infinite loops or prompt injections.
I built Project Aegis to solve this. It acts as the financial brain for your browser agents.
It features a Dual Architecture:
Hacker Edition: Bring your own card (BYOC). Aegis intercepts the checkout process and injects your real card data directly into the browser DOM via CDP. The LLM only ever sees masked numbers, completely eliminating credential leaks.
*The most satisfying test, an AI agent helped me bought a Maker Faire Bay Area 2026 ticket end-to-end —
billing page → Zoho payment processor → card injected — without ever seeing a real card number.
That's what 'zero-knowledge' means in practice.
Enterprise Edition: Programmatically issue real, single-use virtual credit cards via the Stripe Issuing API.
Along with broader protection mechanisms designed to bring fully autonomous agents into enterprise purchasing workflows.
Aegis handles the budget enforcement and semantic guardrails, while your browser agent handles the web navigation. It works out of the box via MCP.
I would love to hear your feedback on the architecture and our approach to zero-knowledge agent payments.
GitHub: https://github.com/TPEmist/Point-One-Percent