× 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 #621 - 2018-09-21 20:21:26 to 20:22:16; Start Time 1537561286.46713

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 9.000000000 () 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/16609 700000 0xe9c55365d10bb258c1c472e53f3636f082c2ac3854a95452265e1bcc33c8b73c
47.677 6.899999998 (-26.415094368102526) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/16608 22000 0xd24c9bf82490489136b6d21731e62367ed3fa42f0bbd0af7abf262612a5c2ac8
48.659 10.350000000 (40.00000002782609) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/16609 22000 0xb09c4e51361da6803b24c63da06349b13c7a743dce69c6dcac068080775cd213
49.902 238.000000000 (183.32997785383532) 0xD6dd5c0B8c988804206E2dEF3ABcA1b5182970a7/82 21000 0x8b58031fc3103676a6e8cd36648fa094ff7178d818fbe59c51341f23dfb6a7e9
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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.