× 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 #1553 - 2018-11-25 08:36:35 to 08:36:43; Start Time 1543134995.6775017

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 40.000000000 () 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0xd0af14fa0049a6037cd952f12f8f522fd391690ab4a993575d9f1e5da1d4c8d7
0.270 44.000000002 (9.523809528344671) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0x6e7da81d533e88120643fdbc51651a1a9b05995478c686e72083cdcafc210ab1
0.446 46.000000000 (4.444444439901234) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0x6bee0869132746753c762ac0cf20b6750a3694be337f906fe058a40ca06b6790
0.623 53.240000004 (14.590890777324027) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0x1dc9d6e211cd01fcc234926b2dd105bc4889384efd0e8572a06c58fd965a3155
0.828 53.240000005 (1.878287002095186e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0x9b44cad57ae7468e95b33e7c82a4b60f5ec0ffc99a1b40d8db140c45c302a266
1.043 64.420400006 (19.004524886800915) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0xee35e7efa369663078fbda9d8c471ea2f3c3bb827d97db118ab8ccfb5c998a95
1.268 64.420400007 (1.5523033074912608e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0xdf1eee41f000a7a5db6c2898af9d9a1e4d680a99b665d5b67891ba5a8a25ea18
1.428 77.948684008 (19.00452488628031) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0x189ecd0946314960910c8c33673c84a0e708628207567e680bca0196c6bcc5ba
1.612 77.948684009 (1.2828952954368721e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0xbf61541be933642d1ae7a4021d51934294660b6aa10eb94d151fc05afaae7174
1.815 94.317907650 (19.00452488594273) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0xeac2bb0d359425ef37663ce9f0659ae0b803b488aaf775afeb717fa95f28fef9
2.011 94.317907651 (1.06024404581318e-09) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0x9b470e032d0a721e06325cc7e3e8530be42e19c12b79e0ad04231c50be5edeaa
2.224 114.124668258 (19.00452488712964) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0xc98b1b0526e36b7bf337bd77bcf8280e66361a0cc0121d03d2fd24a29724eb41
2.659 114.124668259 (8.762347485952233e-10) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0x2cc0588737d2e5fa05e4a7288bdc96b1d94af47124b63652dad147a29995394b
2.869 138.090848593 (19.004524886597956) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0x494f2c2cd86899a08d57a08554a92365f32b1f833445f5db067e59ef2cd1dbc0
3.243 138.090848594 (7.24160949248501e-10) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 300000 0x18173793cb173b635d51a2b6a19b0f7d436c5389f8c92bed9788d3471a306ae2
3.428 151.899933453 (9.523809523546788) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13745 324129 0xa6b1b9b90a7e740e1108acef1bb6bd9958b55b3475be6a457ae46758c1514972
3.726 158.804475884 (4.4444444452741) 0xAf4b59e535df18942241f06A4Eb9bCb32F45f43C/551 22000 0x23d3eff5a6020c096dd89794b20e330c8b8cebd10093eb0103ae0fe8973f59a6
5.972 10.000000000 (-176.3039458577583) 0x8bC3da587DeF887B5C822105729ee1D6aF05A5ca/220601 104866 0x50d4640c7489b7576131b05531e0b241ac35050c5f37954c591972c7cba9d69b
7.581 102.000000000 (164.28571428571428) 0x0fD081e3Bb178dc45c0cb23202069ddA57064258/181705 105000 0xdf284f5d8f23b9b65852639c467acb16f33a52490c0190dddc67f44eb1cb3c93
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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.