× 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 #1106 - 2018-10-20 01:10:14 to 01:10:22; Start Time 1539997814.5379257

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 562.505000001 () 0x498B859D2e59958E209d7DD262324C8D31b12B12/76 500000 0x5f2b1c6ae8c797ee095c7acabf1ae274d60da56dbc89ef25afdfd68732c0ba74
2.021 1125.010000003 (66.66666666674568) 0x541fB7476aab8d6E19904461932Cc9C9cf0F8d7C/690 101564 0x7ed13ac94c29620ecfb3e8ce4ce7c4f7eedfc6ed1a3af5585c331368613d8eb1
3.723 5.500000001 (-198.0539756389663) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/24125 467141 0xd4af609cd92d61ad036b27c89dfa4015aaba897e13113acda0cb6ede05fe9ab9
4.385 5.500000001 (0.0) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/8055 467141 0xbbeef2ce1581329ae2619a108b6678eb10135b1c889da8f3ff7985e243116eeb
4.424 59.072803280 (165.929928876925) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/24125 467141 0x415769eeeda0a9e6f816e10cf8e3c9110329452284d1807ffa32c9690b763ad7 6547354 6547354 / 84
4.648 59.072803280 (0.0) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/8055 22000 0xfe9efcff2411147c4b92c88326ba99fc352ff65d9bd7164c5a25efd67217c6d4
4.769 5.500000001 (-165.929928876925) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/20396 466121 0x9e4d4ac0f92dbd0a24b5411024fc5eef3b11b22862a6b45945b91a0f0fec4ee0
6.037 59.072803280 (165.929928876925) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/20396 466121 0x3388b6940dab70e2e8856d439e8c62b4c8a30d24dd1ca323332d98df0179fd14
7.918 500.000000000 (157.73516226621769) 0xEeE76178163ae666143762118b94Da93445637Ba/20 500000 0x834c2938e766d904a649dfe0d0f957fb58e0fbe27b6503f3f8f80b33018239ab
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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.