AI agents are starting to use x402 to make autonomous payments but they lack key safeguards like refund handling, fraud detection, and manual oversight, making transactions risky or irreversible.

ZapPay solves this by adding a secure layer for agent-driven payments:

🔁 Refund Automation — handles mistaken or duplicate payments seamlessly.
🛡️ Transaction Monitoring — detects and blocks suspicious or unsafe activity.
👤 Human-in-the-Loop Review — enables manual intervention and dispute resolution.

With ZapPay, AI payments become trustworthy, reversible, and transparent — bridging the gap between autonomous finance and real-world safety.

(would love to explicitly mention ZapPay landing page, merchant dashboard were build before Base Batches #002 Hackathon but the AI/ML risk modelling, fraud monitoring and detection as well as real-time blocking are added during Base Batches #002 Hackathon)

One of the biggest challenges was that the normal refund logic for payment gateways doesn’t work. Traditional systems rely on filters to detect and block bots but AI agents behave like bots by design, which makes it extremely hard to distinguish between a legitimate AI purchase and a malicious one.

This made the AI/ML design very challenging, as I had to rethink how refunds, fraud detection, and behavioral analysis should work when the buyer is an autonomous AI agent, not a human.

We also faced difficulties in obtaining high-quality data for our ML service, so we eventually relied on Kaggle datasets to build our initial models.

Another major hurdle was developing the analysis engine, especially figuring out how to determine weightage between different risk signals. Most of these challenges stemmed from the uncertainty of working in a completely new AI-agent-driven payment environment.

https://github.com/SkyYap/zappay

https://zappay-merchant-frontend.onrender.com

Zappay is the first x402 focus on fraud detection and AI Agent refund flows, Zappay introduces a refund logic that works for autonomous AI-driven transactions, a crucial feature as AI agents begin making independent purchases through standards like x402.

Our alpha build demonstrates this by integrating:

🧠 AI-driven transaction monitoring — differentiating between normal bot activity and AI agent behavior.

🔁 Smart refund handling — enabling seamless refund processes even when purchases are made by AI Agent.

🔍 Risk scoring and analytics — using ML models trained on Kaggle datasets to identify anomalies and determine refund eligibility.

By bridging the gap between AI commerce and payment reliability, Zappay positions itself as the “PayPal for AI agents” — making autonomous payments safer, smarter, and refundable.

Zappay is designed for both sides of the new AI-driven economy — the user of AI agents and the merchants of the Web 2 world.

Our ideal users include:

🤖 AI pioneers and adventurists who want their autonomous agents to pay for actions safely and intelligently.

🏪 Merchants and Web2 businesses that want to accept stablecoin payments from crypto user and AI Agent with zero fees and built-in refund protection.

Zappay bridges these worlds by offering a payment layer designed for both humans and AI agents, making every transaction smarter, safer, and fully autonomous.

Zappay exists at the intersection of AI payments and Web3 merchant tools, and while there are several players in the space, none combine AI-native payments with fraud-resistant refund logic like we do.

🔸 Closest Competitors
Stripe Crypto - https://stripe.com/en-my/use-cases/crypto
— Focuses on traditional merchant onboarding and fiat-crypto conversions, but lacks AI or wallet-level risk analysis.

Request Finance (https://www.request.finance/)
— Provides crypto invoicing and payments for teams, but not designed for autonomous AI payments.

⚡ What Makes Zappay Different

🤖 AI-Agent Native: Built to handle autonomous AI payments and refunds, not just human-triggered ones.

💳 0% Fees Forever: Powered by the x402 protocol, enabling feeless transactions.

🧠 AI-Powered Fraud Detection: Combines machine learning, rule-based analysis, and AML checks to prevent abuse and false refunds.

🔒 Refund Logic for Agents: Specifically designed to manage refunds triggered by AI agents, where traditional bot filters fail.

Zappay redefines how intelligent systems interact with money — making AI-to-merchant payments both trustless and risk-aware.