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2+ years of experience
Yug More is a Computer Science student at San José State University and co-founder of Parallel. He is passionate about AI systems, agentic workflows, and building products that replace repetitive digital labor. Yug has competed in 20+ hackathons, winning multiple global tracks, and enjoys turning ideas into working prototypes fast.

Agent Router is a usage-based AI gateway that enables users and autonomous agents to pay only for what they actually use, without subscriptions or upfront commitments. Each request is analyzed in real time to determine the most cost-effective and appropriate AI or data provider based on task complexity, estimated usage, latency requirements, and quality constraints. The system combines static cost controls such as budgets, spending limits, and provider allowlists with dynamic runtime analysis to intelligently route prompts to the optimal API. This allows agents to reason about cost and quality before execution, adapting automatically as prices, availability, or requirements change. Agent Router pays underlying providers using its own existing credits or traditional payment methods, ensuring seamless compatibility with today’s AI services and APIs. After execution, real usage is metered by tracking metrics such as token consumption, requests completed, or compute time. Users are then charged a transparent, per-request fee denominated in USDC, settled on Arc. Pricing can reflect exact cost, cost-plus margins, or optimized micropricing, enabling predictable and low-friction payments down to cents or fractions of a cent. By abstracting legacy billing systems and exposing a clean, USDC-native pay-per-use interface, Agent Router bridges modern AI infrastructure with the emerging future of agentic commerce, where autonomous systems can manage budgets, switch providers dynamically, and transact efficiently at internet scale.
24 Jan 2026