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MoltPe
A wallet for your AI agent. Not access to yours.
MoltPe is payment infrastructure for AI agents. Each agent gets its own isolated payment identity with hard spending controls — daily caps, per-transaction limits, recipient allowlists — enforced at the signing layer. The agent physically cannot overspend, even if reasoning goes wrong. • Sub-second settlement • Native x402, MPP, MCP, REST • Drops into Claude Desktop, Cursor, Windsurf in 3 lines of config • Free tier, no credit card, no US entity required Built for the agentic economy.
Hi Product Hunt 👋
I'm Umang, founder of MoltPe. I built this because every existing "AI payment" product I tried had one of these problems: consumer Stripe/PayPal with crypto bolted on, enterprise sales gates before you could try anything, or missing the protocols developers actually use to build agents (MCP, x402, MPP).
The thesis behind MoltPe: an AI agent should have its own wallet, not access to yours. Non-custodial via Shamir key splitting (no single party including us holds a complete key), with programmable spending policies enforced at the infrastructure layer — daily caps, per-transaction caps, recipient allowlists, cooldowns. If your agent gets prompt-injected or runs a buggy retry loop, the policy still holds. The blast radius is bounded.
We support three rails so you don't have to pick one before knowing your usage shape: x402 for HTTP-native per-call billing, MPP for session-based streaming, and traditional fiat where the customer expects cards. Sub-second settlement on Polygon, Base, and Tempo. Zero gas on supported chains.
What I'd love feedback on:
1. Is the tri-rail architecture useful, or is most of you really just on x402?
2. The free tier — what's the most valuable thing we could let you do without a credit card?
3. India-specific use cases — we just shipped a 30+ page India content cluster (https://moltpe.com/india) covering forex avoidance for freelancers, AI SaaS billing, and per-call API monetization in USDC.
Free to try (no credit card, no KYC): https://moltpe.com/dashboard
Open source reference (Apache 2.0): https://github.com/umangbuilds/m...
MCP server guide: https://moltpe.com/blog/mcp-serv...
Happy to answer any questions about the architecture, the spending-policy model, or how it compares to Coinbase Agentic Wallets / Privy / Turnkey / Circle DP. Will be in the comments all day.
About MoltPe on Product Hunt
“A wallet for your AI agent. Not access to yours.”
MoltPe was submitted on Product Hunt and earned 11 upvotes and 1 comments, placing #40 on the daily leaderboard. MoltPe is payment infrastructure for AI agents. Each agent gets its own isolated payment identity with hard spending controls — daily caps, per-transaction limits, recipient allowlists — enforced at the signing layer. The agent physically cannot overspend, even if reasoning goes wrong. • Sub-second settlement • Native x402, MPP, MCP, REST • Drops into Claude Desktop, Cursor, Windsurf in 3 lines of config • Free tier, no credit card, no US entity required Built for the agentic economy.
On the analytics side, MoltPe competes within Fintech, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how MoltPe performed against the three products that launched closest to it on the same day.
Who hunted MoltPe?
MoltPe was hunted by Umang Gupta. 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 MoltPe including community comment highlights and product details, visit the product overview.
Umang Gupta