
The Problem: Currently, businesses rely on expensive, monolithic AI SaaS subscriptions, wasting capital on unused compute. Furthermore, the "Agentic Economy" is completely stalled because traditional payment rails and legacy blockchains have fees that destroy margins. The Margin Explanation: If an AI agent needs to pay a specialized sub-agent exactly $0.005 for a micro-task (like extracting text from one receipt), using a standard Ethereum L2 with a conservative $0.05 gas fee would result in a -1,000% profit margin. Machine-to-machine micro-commerce fails under traditional gas costs. The Solution: ArcHive solves this by utilizing the Arc EVM Layer-1. It is a fully autonomous "Agentic Assembly Line." A user submits a large dataset (e.g., 50 receipts). Our Manager Agent (powered by Google Gemini 2.5 Flash) intelligently breaks the job down and routes it to Worker Agents. Instead of batching payments or using custodians, ArcHive uses Circle Developer-Controlled Wallets to stream exactly $0.005 USDC to the Worker Agent for every single task completed in real-time. Our demo showcases a stress test of 50 consecutive on-chain transactions settling seamlessly, proving that high-frequency, trustless, machine-to-machine commerce is finally mathematically viable. Link to the live DEMO: https://archive-hackathon.onrender.com/ VIDEO EXPLANATION- https://x.com/der_partigiano/status/2047738730580971866
26 Apr 2026