× Welcome to frontrun me, the premier site for visualizing Ethereum gas auctions. These gas auctions are often bids by frontrunners, arbitrageurs, and other programmatic network actors that seek to exploit inefficiencies in on-chain systems, ultimately profiting miners. On this site, we monitor these behaviors on the network in real-time as these bots compete for block priority in rapid-fire all-pay auctions*, showing users and mechanism designers the potential rent-seeking economy created by orderbook inefficiencies on-chain. Timing data is sourced from a global network of 8 nodes peered deeply with Ethereum. Read our full paper!
*Modern auctions are a special kind of all-pay auction, in which the winner of the auction pays some constant percentage of their bid; they do not pay full gas, as they do not pay for execution, but they must pay for attempted execution.

WARNING: THIS IS AN ALPHA VERSION OF THE SITE WITH PRELIMINARY DATA AND KNOWN BUGS. Use at your own risk and follow @ProjectChicago_ for announcements on release and more data being added.

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Individual Real-Time Auction Data

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Note: only auctions with a single detected "winner" (mined with 2+ log events) are displayed in this view. Other auctions may contain multiple sub-auctions, as the split is heuristic.

Gas Auction #170 - 2018-08-04 03:12:22 to 03:12:24; Start Time 1533352342.8839386

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 326.000000000 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/4009 169212 0x9f7950b7acd2ffabd57d9ca5190d4727985bc9a43d5c4da31d12feb30e05cca2 6084434 6084434 / 0
0.777 8372.464075025 (185.00884766835975) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4357 137110 0x74fb96cefa1a77520b97670ee83cc00ab6a684fb5753bf00558e85bf57541e13
1.073 8389.209003175 (0.19980019979960378) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4009 199236 0x82380578f3bcf0a0cb9475b616059c63afedf58477ef74d40638fd6492d471d3
1.137 8417.593916349 (0.3377788543117386) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4357 136750 0xa9097a4ecef8a0169c581b1441b522070ac7a1723bbe1614070fe3303d855dd9
1.326 5.000000000 (-199.76254346109246) 0x4fCc2FF6c75923D33B4F5aF4C524461014B2EE1C/5579 780000 0x03aba4d09156755313d6999e25d02a367119e1fbe3b595a55ff101e91ddb39af
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This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1650441.
We would also like to thank NSF CNS-1330599, CNS-1514163, CNS-1564102, and CNS-1704615, ARL W911NF-16-1-0145, and IC3 Industry Partners.
Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation.