Miraipay: AI Tool Marketplace with MNEE Micropayments

Inspiration

AI tools are everywhere, but monetization is broken. Traditional payment systems charge high percentage + fixed fees, making micropayments impractical. A $0.50 API call can lose over 60% to Stripe.

Blockchain payments often fail due to:

High gas fees
Slow confirmations
Token price volatility

Miraipay was built to enable instant, stable, low-fee micropayments for AI tools.

What It Does

Miraipay is an AI-powered tool marketplace.

Users interact with an AI agent in natural language
The agent automatically selects and executes tools
Creators earn per usage
Payments are enforced via X402 (HTTP 402 Payment Required)
All pricing is done in MNEE stablecoin

Example:
User: “Book 2 tickets for Inception in Mumbai”
→ Tool selected (2.5 MNEE)
→ Payment verified
→ Tool executed
→ Result in < 1 second

Why MNEE?

MNEE is a USD-backed stablecoin designed for fast, low-fee transactions.

Key Properties

Stable: 1MNEE = 1USD
Low Fees: Designed for micropayments
Multi-chain:
- Available on Ethereum (ERC-20)
- Launched on 1Sat Ordinals (Bitcoin SV–related protocol)

This makes MNEE suitable for predictable pricing and small-value AI tool usage.

Tech Stack

Frontend: Next.js 16 (React Server Components)
Backend: FastAPI (Python)
Database: PostgreSQL (off-chain balance caching)
AI: Google Gemini (tool discovery & parameter extraction)
Blockchain:
- Ethereum (ERC-20)
- 1Sat Ordinals
Token: MNEE (USD-backed stablecoin)
Protocols:
- X402 – Payment-gated API access
- MCP – AI agent ↔ tool interoperability

Challenges & Solutions

1️⃣ Instant UX vs Payment Safety

Challenge: Off-chain balances introduce double-spend risk
Solution: Optimistic concurrency control with rollback before execution

2️⃣ Micropayment Cost Control

Challenge: Small payments break if fees spike
Solution: Network abstraction + careful fee monitoring to keep costs negligible

3️⃣ AI Tool Selection Accuracy

Challenge: Incorrect tool selection or hallucinated parameters
Solution: Schema validation + confidence scoring
Result: Accuracy improved to 94%