× 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 #351 - 2018-08-29 22:53:24 to 22:53:35; Start Time 1535583204.8719292

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 5.900000001 () 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x14d425a8be11284e2c981aa17c31eedb142e0fd819480e75e07a0593fce85610
0.043 5.900000000 (-1.6949152540936512e-08) 0x4fCc2FF6c75923D33B4F5aF4C524461014B2EE1C/6287 780000 0x715ebf292a653ee13ae567caedab0f9c1dac77c9e9d8499115b5a63315bae2f2
0.105 8.150000000 (32.028469750889684) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0xe80809d33e9fca6c34292e2342c549594d2a154b808f00f8d2f4148beca8c5ce
0.139 5.900000000 (-32.028469750889684) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9023 500097 0xaf37752a3616cbea1693b263d43fd7a66e03e777d412ec890e509fabb48a3e6e 6237274 6237274 / 84
0.139 5.900000000 (-32.028469750889684) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9023 500097 0xaf37752a3616cbea1693b263d43fd7a66e03e777d412ec890e509fabb48a3e6e 6237274 6237274 / 84
0.139 5.900000000 (-32.028469750889684) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9023 500097 0xaf37752a3616cbea1693b263d43fd7a66e03e777d412ec890e509fabb48a3e6e 6237274 6237274 / 84
0.366 5.900000000 (0.0) 0x4fCc2FF6c75923D33B4F5aF4C524461014B2EE1C/6287 780000 0x059f8aed42cc36bdcffcfab64bde98e3142899abdcbf722543debfe83524cb12
1.227 13.155000000 (76.14799265284702) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0xc3d9274a00ee7f7c7ce09586e7bb6cd21f82e6a3a4d6b285d0e2724bafcc31c0
2.069 21.663500000 (48.873443715266305) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x243d6d67a109c239c12163cf10199220c73401668b32b8b609ee2bc4bbfd6d51
2.908 36.127950000 (50.05740468529515) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x7a6e9b4f14d04bd6481d0e5047dbc28c55169e8a23e37ebe212199362a9fa995
3.675 60.717515000 (50.781035539454535) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x5b9219d095a47c1ae8a2485dcf5e0916f66ef571e52f6c5ace1f4eb06f024ef0
4.310 102.519775500 (51.216557652921836) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x82adfb7e2e78cbcf50893f511c616b526f5e8c57392765f5c55974dff3ef9614
5.052 173.583618350 (51.47625449950621) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x25d9e0d1372f6cf5aab65707d5a90a240dcdc0662b2d25eb1f7f466e09a86e2a
5.795 294.392151195 (51.63025126811964) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x51377dce256b440b0d4a59bbb304f2c4536b3038d6cc0577236a07e9969201f5
6.604 338.550973874 (13.953488372019537) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0xdc7cdc97d132c4fe5e5fa02acdf7eb4e97f69eb6dffdced38873fc1d753c4354
7.107 389.333619955 (13.953488372067463) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x6fdb3ec4ef16948a04625a7ed2ceb8c8fe73b2a6a1e3f683194dd8b1594a19d5
7.912 447.733662948 (13.953488372037459) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x420b34c2179bc316a2271bba492a3aa3c9df5bfbf4e130389fd61a75d2a33523
8.668 514.893712390 (13.953488372054371) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0x837c94a84339aa84022b7e988c90b690e7f8d7bcee966848714a7789ebee5343
9.224 592.127769248 (13.953488372008993) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0xcb7589daca3461ad7bb7d1535c8ecfeb721b2421db8e2db17c9d655ffa9961ca
9.690 680.946934635 (13.953488372063797) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0xc6c60e42637691b1fb40c9724ba749daf48cee720f1eac2cc80b23d2ec914cc5
10.208 783.088974830 (13.953488372061255) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/9022 172656 0xdb9dffd87287e6ab8ed1aa3cf508f7f5013c3dc86a97f35366862fab6202f199 6237274 6237274 / 0
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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.