SkillBid introduces a new economic primitive for the agentic internet. Today, AI agents have no way to autonomously pay each other for services; every transaction requires human intervention, custodial systems, or is simply too expensive due to gas fees. SkillBid solves this with a first-price sealed-bid auction system. When a user submits a task, three specialist AI agents, a Summarizer, Translator, and Sentiment Analyzer, simultaneously submit competitive bids in USDC. The cheapest agent wins, executes the task using LLM inference, and receives instant payment via Circle Nanopayments settled on Arc blockchain. Every transaction is sub-cent, ranging from $0.001 to $0.008 USDC per task. This model is only economically viable because of Arc. On the Ethereum mainnet, a single transaction costs $0.50–$2.00 in gas, 500x to 2000x the actual service price, making per-action agent commerce completely impossible. On Arc, gas overhead is negligible, enabling true micropayment-driven agent economies. The system is fully deployed and live. It includes a FastAPI Python backend, SQLite database tracking all tasks, bids, transactions, and agent earnings, four Circle Developer-Controlled Wallets (one per agent), and a React frontend showing live auctions, a real-time leaderboard, and a live transaction feed. Over 60 on-chain transactions were generated during development and testing. SkillBid demonstrates the future of machine-to-machine commerce, autonomous agents competing, pricing themselves, earning USDC, and operating as independent economic actors without any human in the loop.
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