× 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.
*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 #1183 - 2018-11-16 03:25:27 to 03:25:37; Start Time 1542338727.4541707

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 5.110000000 () 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 192021 0x28bcb649f5c54ef135ed4346fc44c4a6abb739f746dea3bf0061a03d1f8f92d9
0.318 12.000000001 (80.53769726005041) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0xd44d371147be0e294a8d1bd4ed1dd9d744e9faa0279d45c82ae3b27bbf090a3f
0.617 12.024000001 (0.1998001997835664) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x050924f4de799b39f2a61720b37d13606404c3a4009ad6554f51749aed76a9bc
1.629 25.050000000 (70.27027026298025) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x4a5f19fa44718bcd1c08b987e5a0aa467b34b7404ba24b13961c1f69610c93c3
1.646 25.000000000 (-0.1998001998001998) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0xfd95872319a32a34e5a12c26e64926ad01aaae0e57fe23584511c217285df7f3
2.159 33.128625000 (27.967718142309405) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x0f72ead0a5d71a56ae6e385224f09c01b329b7e17281491129a7e42b03f7a831
2.291 28.807500000 (-13.953488372093023) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x822fdc789a4f9b59a177c8fa642c31293da344fc2aa94a6d17876d672cf01c63
2.558 43.812606562 (41.324936776812) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0xa71ea0522bf4193fff6d22f9da01ad4bd1db6ac1f4e4c16c680ddf10ac3272e8
2.615 33.062500000 (-27.967718141190495) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0x0cdd449e067f59cc788c6a3638257b56ab12027d5ab67ac601a1c664bdd75cbe
2.752 43.725156250 (27.771797631862217) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0x86a4484252fde2a44b6977ca1405eba4f7059d494b1d922cd1ae4c39147c56fa
2.774 13.800000001 (-104.04198162775018) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0x5258e2b463af88253d028b2b7edbaba7f2851720be0bfdac32b0ae724582aa42
2.935 28.750000000 (70.27027026391845) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0xba99b1b001886811504a006df9d76d22c4813ca3fdfc8b2c42b295cc05dc2101
3.119 38.097918750 (27.967718142309405) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0xaa19375e444bdfee53e1bf1e58beed1ea123a64ec31e57206513955b74f1c5f1
3.131 57.942172180 (41.324936779711564) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0xea767ce7a99c884251f4226969294eefd4627105e10c6fde4aea9ea02d46a103
3.266 38.021875000 (-41.51616728426522) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0xa582dc7ff131c8f071a89b273718093eae822d782fade13fe2d89c0be7745f45
3.285 50.283929688 (27.771797632837398) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0x3bf7ab1b5e3697accf942b11c6ecd444f3196372a01a012c0ebbd8b83b594143
3.312 28.807500002 (-54.30785552916966) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0xaf5de75eb4743a36cd2dd50d8164216961ba771d9a327270cde57f8e55777f63
3.429 33.128625002 (13.953488371191868) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0x9a08a6bc88adb2c4ac7523cc15c859ae7cf41e819eb0f88f0003678cafb344e3
3.448 66.500497014 (66.99220335724854) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0xe10e2469204e8a659c02ca8f902768f4f8311c074e3bada985077a804bfd8194
3.634 50.384497547 (-27.57582276070411) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x7880045e60679e326d942e5d4c8a4ccfff4e3528ee5fcd65dbc2008f975abd0c
3.645 66.633498008 (27.77179763494198) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x8e9a6da8052e674c0b568ea86f1b4ee176fec9de30575e219777fb0b65ab0097
4.184 88.122801117 (27.771797633442535) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x8d05c5dd9e2a74dfd6f2c0602ab1c66e41f726ec7231cde8f74b5db65ecffe8d
4.241 43.812606564 (-67.16952686444172) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0xba4becf7573acac61ead4826acdb8c63b9296e0d2a1ccdf02b817e924cc4685e
4.320 76.475571567 (54.30785553577569) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0x6f5623d1c3cb7ac3d271b6c07a2b3880ddad4a11194d04664375a5d7a8c2d513
4.329 87.946907303 (13.953488373167962) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0x1415e5b104df1953f89088f9aca1cbae52d7751bd5fc725ae23edd6cdf211c03
4.496 50.384497548 (-54.30785553787927) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0xecae6e2bb73b37b399612d76139de4640938bd1fe7fc593574d9143e3f82129d
4.590 76.628522710 (41.32493678001016) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0xa4b780e585ee61a2c75855db96547457aa3a6edeb9c9f61811c707274ad8a7d2
5.111 116.309784909 (41.13362731195876) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0x8c5975e42b6cf8de4e9dba9bc220d264e85a1bb467d6e6140fb9ed9376e4576b 6712815 6712815 / 1
5.289 57.826519142 (-67.16952686657662) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0xf55e8a0f12f9d1e052713652fece222d595a724c87a706be3047c716cb5d1dee
5.320 101.341221285 (54.67779089690274) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1454 227470 0x59eaf34ca820a34a0cfcb95334f156a9f8431d691e59e54e96d0d1cd4fd3fd17
6.464 101.138943399 (-0.1998001990127619) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1519 231328 0xd497645d2be8eff9a6b82e48fc059a9583570cc7393999559245a15f24bbfadd
7.552 66.633498010 (-41.13362730996056) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0xe8e292e192ad3fee524f7623628ba2c6e6cc243ab4beba3c507fcc91eda0cb8a
8.605 57.942172180 (-13.953488376573347) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0xb40e5b8703e6a032893d7736f78dcf4b5b8511fd5d59acb6807cde1b3dee5b50
9.918 76.628522711 (27.77179763563773) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/30108 359873 0xe97cb88a989c203b917bb724dcc75bec10b429d3e4f797d03be7d904f793ce5c
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This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. .
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.