× 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 #289 - 2018-08-21 07:44:38 to 07:44:46; Start Time 1534837478.369199

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 40.000000000 () 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0x77a0223b1e8b8ecffb0ba885142b3366e15f5ce6d2dea26c67981e06053ab9f8
0.669 40.000000001 (2.49999999996875e-09) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x10addb2695a43aaa87b18e58d79d96ca5300e81c15c07d6bd1315b6677c64cfc
1.218 46.000000000 (13.953488369605191) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0x10f984b332a0f14012d8101fc3bca4e04125fa60a12380769bb89f50161271e6
1.737 50.600000002 (9.52380952775313) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x74e77f4a2de83d3272bcdb243c895761f7773ea0c3ecad081ff061fcc8a23b93
1.956 52.900000000 (4.444444440493827) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0x26acc96e6bb4a273770e4ee696ffa482545e46b06357f8e3a9117065e36fb522
2.479 61.226000004 (14.590890776349266) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x07ec45e23cebccffc7284aa6a6b7f639d4b059fb403489185c69681cbc99d34c
2.668 61.226000005 (1.6332930453181685e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0x4d974205c882be8c42815dd6748d74ae0dffdf428fe4900b74257b1a96d13530
2.945 74.083460006 (19.004524886810948) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x25a92dcdb045e5798f13876661b398e1fed0f76807fb53a31fbbb44a024fb8a7
3.080 74.083460007 (1.349828963053644e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0x30fe3ffc59732c70229512d8205ee2a7964958446ebf2d02144485a98fa301e4
3.420 89.640986608 (19.004524886358247) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x54426c3ce2bee2a350825723d945b3d1ad3555e74bd03eaf7636f57a27a99792
3.764 89.640986609 (1.1155611264827125e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0xa2d6126676fd741b43e2975356c545d4f3db97bf6ff9aa2dce117f6af39c259d
4.114 108.465593796 (19.0045248860647) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x7fe3ed6766642327ddba9e458bd63143b409e567b9efd6e9fedb1459ccd0c68d
4.458 108.465593797 (9.219513441987613e-10) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0x3fb04f14e25c186b25fc6134aeffec178b8a75b01445bc87f2c0e477e633b182
4.703 131.243368494 (19.004524886598453) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x27049c90b2f139f29bef88b14fd2fac048f9c72731858b7cff2f425a7893652e
4.939 131.243368495 (7.619432596641307e-10) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0xb2ee85a4d16b6226065f80972b3870e4432ab57fd59f6a7f6326c2847ef9c46d
5.347 158.804475879 (19.00452488690903) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x9603a99c6425b0c40059dee4a1c3459e40c2e341424a2c582f8e3e252e9ed9b1
5.734 158.804475880 (6.297051732715611e-10) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0x4a44b9584ff68880b72088a495c958c10b248e1ec07a62d40d9b2b9d3050037f
6.170 192.153415814 (19.004524886465255) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0xfda856d2cc0ff8ca07c38e059681e2bf193ba57d7454a8e7407056087d029f50
6.973 220.976428188 (13.953488372948659) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 22000 0x9507f509433fb78becc9272a73fe5e988f02eab22e0a7d377fa32bd5b7d4809b
7.565 192.153415815 (-13.953488372430774) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/447 300000 0xc5e043d30e3d3513cd20eb83b9c0d17fcbfb80fe36c084bca6d8535d8534c6d2
8.436 211.368757396 (9.523809523573506) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12108 354129 0x97356453c1a77e2a07b0c4abfac2872d964627b5b4981fc7e689fadc19ec0755
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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.