Gyasss — Pay-per-query oracle on Circle + Arc

Americans spend $560B per year on gasoline. SF drivers leave $200–$400 annually on the table by not routing to the cheapest nearby station. The dominant data source — GasBuddy — relies on self-reported submissions with no economic incentive for accuracy. Most prices are stale or wrong. Gyasss is a transaction-verified gas price oracle that fixes this with two parallel economic loops, both running on Circle Nanopayments and Arc: INBOUND: Users submit price reports and earn USDC cashback by data freshness — $0.005 for redundant data up to $0.50 for breaking a 24-hour stale-station bounty. A consensus-weighted oracle combines the last 30 reports per station with time-decay weighting, so no single user can move the price. High-value bounty reports require a $0.10 USDC stake; outliers get slashed. OUTBOUND: Two oracle endpoints — cheapest-gas and cheapest-parking — serve real-time queries to AI agents via x402. Each query costs $0.001 USDC, settled in batches via Circle Gateway. Any developer worldwide can query our oracle now using AIsa's open-source x402 client. The bidirectional architecture is the key insight: same Nanopayments primitive, opposite roles. We are simultaneously an x402 seller AND a USDC sender. To our knowledge, no other entry uses Nanopayments in both directions. Parking is a live second vertical proving the platform thesis. Roadmap: any commodity with dynamic pricing where transaction-verified data beats self-reporting. The recommendation engine is route-aware via Mapbox Directions, computing real driving detour distance and time, then netting against value-of-time and detour gas cost. WHY THIS FAILS WITH TRADITIONAL GAS: We pay users $0.005–$0.50 per data point and charge agents $0.001 per query. On Ethereum ($2–$5/tx), both sides are 1000x underwater. On L2s ($0.01–$0.05), the agent market doesn't exist and cashback margin is negative. Only Arc's batched settlement makes both loops positive-margin.