10.7910/DVN/5BGOBXGanji, AbhijeethAbhijeethGanji0009-0009-4072-9203Maryville University of St.LouisPriyanka velpulaPriyankavelpulahttps://ror.org/001ccf545Harvard Dataverse2026Computer and Information ScienceDeFi SOR ProtocolSmart Order RoutingAutonomous AgentsBase MainnetBellman-Ford RoutingGanji Sovereignty WeightRouting Efficiency IndexVenue Coverage ScoreVerifiable Execution ReceiptCryptographic Execution AttestationMEV ProtectionCross-Chain RoutingAgentic PaymentsPauli ProofGanji, AbhijeethMaryville University of St.LouisGanji, AbhijeethAbhijeethGanjiMaryville University of St.louis2026-06-022026-06-02179273573194758022470722581012561385976152911235657031352182346660790679481842857250791118368230text/plainapplication/pdfapplication/x-ipynb+jsontext/javascripttext/plaintext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-values2.0CC0 1.0Supporting dataset for "Ganji's DeFi SOR Protocol: Multi-Venue Smart Order Routing for Human and Agent-Native Crypto Swaps on Base" (Ganji & Velpula, May 2026, v1.0). Contains 265,000+ rows across 10 CSV files parameterized by prototype measurements on Base Mainnet (Chain ID 8453). Covers route discovery (median ~52ms latency), multi-venue scanning across 25+ DEX venues, Bellman-Ford graph routing, split-route optimization, cross-chain routing (Base, Ethereum, Solana, Injective), MEV protection, circuit-breaker logs, and price impact curves. Key results: REI=0.9994 stablecoin, VCS≈0.85, VER=1.0, +2.4 bps price improvement vs. baseline aggregator. All rows simulate autonomous agent workloads (10²–10³ intents/min). Includes analysis notebook reproducing all 18 paper figures.Source code: github.com/fluidbase9/fluid-sor | MVP: fluidnative.com | Contract: 0xF24daF8Fe15383fb438d48811E8c4b43749DafAE (Base Mainnet)