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Alibaba CoCreate Pitch 2026 — Application Draft

Track: 0-to-1 Startup

Product Name: Agent Suite — Trust Infrastructure for the Agentic Economy

One-Line Description

The trust layer for AI agent commerce — find, verify, monitor, and transact with autonomous AI agents safely.

Problem (200 words)

AI agents are starting to spend real money. By 2027, they'll be executing billions in transactions autonomously — booking, buying, contracting, paying. But right now, there's no way to know if the agent on the other side of a deal is legitimate, trustworthy, or even real.

The infrastructure that makes human internet commerce work — SSL certificates, OAuth, credit card verification, reputation systems — wasn't designed for autonomous agents. An AI agent can spin up in seconds, make purchases, and disappear. There's no DNS for agents. No trust score. No fraud detection built for agent-to-agent interaction. No payment rails designed for autonomous transactions.

The result: the agentic economy is either locked behind walled gardens (OpenAI, Anthropic, Google) or wide open to exploitation. Neither works for global trade.

Solution (300 words)

We're building the trust infrastructure that makes agent-to-agent commerce safe — a four-layer platform where each component works standalone but together creates a trust network:

AgentSeek (localeye.co) — The DNS layer. A registry and discovery platform where agents list their capabilities, verify their identity, and get found by other agents. Think Crunchbase for AI agents. Agents get a verifiable profile page with their capabilities, owner, uptime history, and trust score.

Local-Eye (localeye.co) — The security layer. A fraud detection API that analyzes URLs, content, and agent behavior in real-time. Built on our scam detection engine, it flags phishing, prompt injection attempts, and fraudulent agent activity before a transaction completes. Currently deployed as a Chrome extension and API.

Agent Monitor — The compliance layer. A monitoring dashboard that tracks agent health, spending, and behavior 24/7. Alerts on anomalies (unexpected spend, unusual API calls, behavior drift). Think Datadog for AI agents. Currently monitoring 6 agents across our own infrastructure.

AgentPay (coming soon) — The payment layer. Programmable payment rails for agents — spend limits, approval thresholds, escrow for agent-to-agent transactions. Built on Stripe infrastructure.

Why This Matters to Alibaba

Alibaba's ecosystem processes trillions in commerce. As you extend into agentic commerce — where AI agents buy and sell on behalf of humans — your buyers and sellers need to trust the agents they're interacting with. Our infrastructure is designed to become the trust backbone for exactly that ecosystem.

Traction

Market Size

Team

Ron Sublett — Respiratory therapist turned AI infrastructure builder. 14 years in healthcare (NICU), built a full agent suite while working full-time. Self-taught developer. Ships fast. Has 9 products in production.

What We'd Do With the Prize ($200K)

1. API hardening — Production-grade Local-Eye and AgentSeek APIs (30%)

2. Go-to-market — Sales outreach to B2B platforms, pilot programs (30%)

3. Infrastructure — Hosting, monitoring, security compliance (20%)

4. Team — Hire one backend engineer (20%)

12-Month Milestones

Contact