× 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 #900 - 2018-10-10 08:32:07 to 08:32:08; Start Time 1539160327.9645357

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 6.000000001 () 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6803 359551 0xd78a30c9a1710df33ac10679b22b5104f3fed8b55adc92fdd84060f6cac15169
0.159 63.244608629 (165.34026189354174) 0x500000000973501dC823e04e9ad917157239e1Df/74 176947 0x3583da5235c847189499380286e0451b0ddca55eb960823ea1eccbecebf53cec 6487909 6487909 / 10
0.333 278.658258973 (126.00868302441808) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6803 22000 0xc97feba611ee70d7a9575108bd1fc546b13d8ab9ea99fe9f5f83bdda8041bf06
0.484 6.000000001 (-191.56883763341216) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19819 359487 0x672e604ec30ffaffdd9b1c78f92a710f3ccd7c8e6fe369a0499f23402b55401f
0.579 278.658258973 (191.56883763341216) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19819 22000 0x6a6d8da348536e634b803f10a3d4ea177a2c6436cca2c7579565ea6d81e4ae49
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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.