Ganji's DeFi SOR Protocol: Multi-Venue Crypto Swap Simulations on Base

265,000+ rows of simulation data for a decentralized finance smart order routing protocol on Base Mainnet. The dataset, by Ganji & Velpua (v1.0, May 2026), supports a paper analyzing route discovery latency, multi-venue scanning across 25+ DEXs, and cross-chain routing. Key results include a 0.9994 routing efficiency index and a +2.4 basis point price improvement versus a baseline aggregator.

Use Cases

• Benchmarking smart order routing algorithm latency and efficiency based on reported median ~52ms discovery times.
• Analyzing price impact and optimization for split-route trades using the included price impact curves.
• Studying cross-chain routing behavior and MEV protection mechanisms across Base, Ethereum, Solana, and Injective networks.
• Simulating autonomous agent trading workloads based on the 10²–10³ intents per minute parameterization.

Strengths

• Contains over 265,000 rows of simulated transaction data across 10 parameterized CSV files.
• Reports specific performance metrics like a Routing Efficiency Index (REI) of 0.9994 for stablecoins and a +2.4 bps price improvement.
• Includes an analysis notebook for reproducing all 18 figures from the associated research paper.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is simulated based on prototype measurements, not a record of real-world transactions.
• The description does not specify file formats or provide sample data for immediate inspection.

Provenance

Source

Abhijeeth Ganji Dataverse on the Dataverse platform.

Collection Method

Prototype measurements and simulations parameterized from Base Mainnet (Chain ID 8453).

Freshness

Last updated 2026-06-02 09:54:47.