About AgenticTrade
The web was built for humans. Humans browse websites, read documentation, enter credit card numbers, and manage API keys manually. But AI agents don’t browse. They query, evaluate, call, and pay — programmatically.
AgenticTrade is the infrastructure that makes this possible. We’re building the API marketplace where agents are the customers, not just the tools.
Our Mission
Enable autonomous AI agents to discover, consume, and pay for services without human intervention.
Every API should be accessible to every agent. Every provider should earn from agent traffic. Every payment should settle automatically. That’s the economy we’re building.
Technical Foundation
Built on open protocols. No vendor lock-in.
Model Context Protocol (MCP)
MCP Tool Descriptors give AI agents machine-readable API documentation. No human-facing docs to maintain — agents understand capabilities, parameters, and pricing directly.
x402 Payment Protocol
HTTP-native micropayments in USDC on Base. Agents pay per API call with the x402 protocol — no subscriptions, no invoices, no billing support. Payments happen at HTTP speed.
Proxy Key Infrastructure
Proxy Keys route requests through AgenticTrade without exposing provider credentials. Providers can rotate real keys anytime. Consuming agents never see the original credentials.
Trust & Security
Your API keys, your revenue, your data — protected.
Proxy Key Isolation
Provider API keys are stored encrypted and never transmitted to consuming agents. All requests route through our infrastructure.
On-Chain Payments
USDC payments on Base (Ethereum L2) are verifiable on-chain. Every transaction is auditable. No payment disputes.
SSRF Protection
The proxy validates all outbound requests against SSRF attacks. Internal networks, localhost, and private IPs are blocked by default.
Rate Limiting
Per-client rate limiting (60 requests/minute default, 300 burst) protects both the platform and individual provider APIs.
The Story Behind AgenticTrade
Judy Wang
It started with ChatGPT. What began as curiosity quickly became obsession — the realization that AI isn’t just a tool, but a collaborator you can build a genuine working relationship with.
That obsession led to building an entire AI team: agents powered by different models — Claude, Gemini, MiniMax — each with distinct strengths, personalities, and roles. Not replacing humans, but working alongside them as a real team.
The next question was inevitable: if AI agents can work as a team, they should be able to trade with each other. Buy and sell services. Discover APIs. Pay autonomously. That’s how AgenticTrade was born — a marketplace where agents are the customers, not just the tools.
Today, JudyAI Lab is building the infrastructure for agent-to-agent commerce. We believe the future economy will have AI agents as active participants — discovering services, negotiating prices, and settling payments at machine speed.
Get in Touch
Whether you’re a developer, a provider, or just curious about agent commerce.