Fewsats lets AI agents make payments without breaking flow. It handles transactions between AI systems and services with human oversight and budget controls, while keeping financial credentials secure. No redirects, no context switching—it just works.
We built Fewsats to solve a fundamental problem in the AI stack: payments. When agents need premium data or services, they hit a wall. Our Python SDK integrates with MCP to handle payment flows while maintaining security guardrails.
This is just the beginning—we're building for a future where AI agents will handle millions of micro-transactions on our behalf, creating entirely new economic possibilities.
Try it out with our Python or TypeScript SDKs, or through our MCP integration. We'd love to hear about your use cases or discuss the future of AI payments in our Discord (discord.gg/2tPYBgWzQm).
- Python sdk: https://github.com/Fewsats/fewsa...
- TS/JS sdk: https://github.com/Fewsats/fewsa...
- MCP: https://github.com/Fewsats/fewsa...
I recommend Fewsats to anyone who works with AI and needs secure and efficient payment solutions! This application simplifies the payment process for AI agents, allowing transactions to be completed without interrupting the workflow. It provides human control and budget constraints, while ensuring the security of financial data. We will also launch soon, we hope for your support too!! Good luck to you!
This AI Agent software automates tasks, streamlines workflows, and enhances productivity like never before. The ability to handle complex requests with intelligence and efficiency makes it an essential tool for businesses and individuals alike. Excited to see how it evolves!
This sounds like a game-changer for AI-driven transactions! The ability for AI agents to make seamless payments without disrupting workflow, while maintaining security and human oversight, is a huge step forward. Streamlining payments without context switching is exactly what’s needed to enhance automation and efficiency. Excited to see how Fewsats evolves! Also, innovations like these remind me of how platforms such as subwaymenu enhance user convenience in their own unique ways.
Interesting mix. Whats the deal with AI? Why its different from any other type of products in terms of payments?
I've known Jordi for a while and I can say that he's probably the world's best thinker and entrepreneur at the intersection of Bitcoin + AI :) Really looking forward to how fewsats goes forward.
Fewsats seems like a great solution to streamline payment flows and simplify transactions in complex systems, especially with the added security. How do you envision this working for industries outside of tech, like retail or services, where smaller payments play a big role?
@pol_avec Can you please explain how this works? I’d like to understand the logic behind calculating the pricing of an AI agent. An agent includes many components, such as LLM server costs and various other factors. How do you approach pricing in such cases?
Congratulations on the launch
Innovative approach to addressing a fundamental issue in the AI stack! The integration of AI payments with security guardrails is impressive. Looking forward to seeing how this evolves.
Fewsats is redefining microtransactions for AI agents! It is 'paying' the way for a new era in AI transactions! 💸 Enabling AI to request payments without direct wallet access is a clever way to balance automation with security. How does Fewsats prevent unauthorized transactions or replay attacks when AI agents initiate payments? Are there cryptographic signatures or time-based authentication mechanisms in place to ensure integrity?
About Fewsats on Product Hunt
“The payment infrastructure for AI agents”
Fewsats launched on Product Hunt on March 17th, 2025 and earned 158 upvotes and 16 comments, placing #9 on the daily leaderboard. Fewsats lets AI agents make payments without breaking flow. It handles transactions between AI systems and services with human oversight and budget controls, while keeping financial credentials secure. No redirects, no context switching—it just works.
Fewsats was featured in Payments (13.1k followers), Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 175.9k products, making this a competitive space to launch in.
Who hunted Fewsats?
Fewsats was hunted by Pol Alvarez Vecino. 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.
Want to see how Fewsats stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Pol Alvarez Vecino