× 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 #738 - 2018-10-02 13:30:47 to 13:30:51; Start Time 1538487047.0567958

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 100.000000000 () 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6287 22000 0xa0316225239f0f5bcc66ba7a0c661d17848b1954e8081d5b3ba8244cb60c4f21
3.572 20.700000001 (-131.4001656973372) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/18191 22000 0x4e95aba4a8d162469bc2c2892d21be9c8836fddccfe0088d3ee443ecd2c53350
3.627 114.999999999 (138.98305084450996) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6287 22000 0x45ad84747c6be674024ba21f5df1752ae0ed01e538bf3b4ab5715f14663ff21f
4.534 13.000000001 (-159.374999996875) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/18191 1150000 0x2b9ce3b59bb557e0f8941b3b947b6a7d6d70aa4432cb701cb21f647ea175ca1c
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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.