× 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 #318 - 2018-08-24 17:27:26 to 17:27:36; Start Time 1535131646.826111

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 40.000000001 () 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0x5bba3c435c764499f5886477b11c7fd107b62909d29d159f3b48399b20a0e63a
3.068 46.000000000 (13.953488369605191) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0x791b4bf44856058315d6aa006df74ad52ed532077533f927de298489ada9d9d4
3.744 50.600000002 (9.52380952775313) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0x319e98c585ce97b277fd263172076b73dd8fb83f4f83da0a8fe1940674bed356
4.346 61.226000004 (19.004524889435128) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0xafa9b66626f940d74f083d40d8fe8e10248796b4513fa6145e1141447b5c56b9
4.555 52.900000000 (-14.590890776349266) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0xd3ef8f9bd1457be2a9db267e375a914ebf35f6fb9f5e003a18675d66119ef26b
5.155 61.226000005 (14.590890777973867) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0xa328f482bc895e24bc369c42ef8e4cd701785e23350c040e516b76d6f49f96af
5.537 74.083460006 (19.004524886810948) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0x5feefe036e8a4a670b713e84604825af539e6f1037f13048ee4d0e858786cdaa
5.892 74.083460007 (1.349828963053644e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0x61952324e20eebcb235446df0f09203c0bc71b098193eb909d85adee00ab0cb9
6.640 89.640986608 (19.004524886358247) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0x1aaec41e1373b2fff98d05c4db36f1911f144278cb597b7da48a8967e738765d
7.056 89.640986609 (1.1155611264827125e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0xbd0c53adf13c3b449924bf8119452f19c45b577ef8a678851a9f6e29b0be2122
7.478 108.465593796 (19.0045248860647) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0x028652c3497bb0e5107cd506ba7919ce95fa6860fc70f6747d0c65577f83e0ce
7.718 108.465593797 (9.219513441987613e-10) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0x44efd02db4c832a36c226999b85d8f3ef4b604435ca4ff1c779027e9bd3fd286
8.109 131.243368494 (19.004524886598453) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0xee62af27bd7e81420be392b97fdbb62fa2eb6bcb4f9b6b683cacf44d27caa90d
8.512 131.243368495 (7.619432596641307e-10) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0x48a462e1dbe5b77fbb82b88540e3c880c79a4dff88b799a9a16a49b74db47804
8.947 144.367705344 (9.523809523463973) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0x6ae4911a9796de477eb05dff83b5223eda8316466f80cba83e5fb335410613c4
9.260 150.929873770 (4.444444445287286) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 300000 0x95d84133e98f462c7cdac93a7dadc2eedfd42f162c8a1443fc57787556482bc5
9.692 158.804475879 (5.084745762246731) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12226 354129 0xeafa40302e0dd84f7f2080884c419af8728f0cbdcff7937b0ed952b45e1026e6
10.037 173.569354836 (8.884501481502264) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/453 22000 0x3058f6dce53b23d5a62a14b31b31c76875b3fbd0a44a6c4690af5ee061093b4a
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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.