× 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 #349 - 2018-08-29 17:27:31 to 17:27:36; Start Time 1535563651.2335165

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 77.220792916 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/4159 184276 0x754bd9b0c10b1feb2d32967eb402d423245cfd569c0af020f1664d721e598dd9
0.338 80.309624632 (3.9215686266543712) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225907 0x7f9ee9bd3b38fa44b2d270b0101975c71017c7d229dff628deab36ddfe21472d
0.480 87.259495995 (8.294930876280059) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4159 214538 0xa0d534231f4821ce798cd71d64068821f949213ececc090f683f23061b0bcbe4
0.637 136.799414597 (44.22044048246731) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4159 214538 0x45f36346580e7769fd9a1fa7188d37adf8c2de61a3d96df9c2dd16ba3212a87f
0.693 136.526361874 (-0.19980019925341438) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225989 0xf1c94fa3de77d72e732118d11d12bfad8a13ae5a5c1df4eac1115aba8b2fc8e9
0.860 232.094815185 (51.85185185153033) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 226022 0x57986be4629dfb1bd866070d0527df8a9ab3a930dae158f810f02da858532561
1.027 232.559004815 (0.19980019964110055) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4159 214538 0x29af1e7acacf32bbda32d59249ed16ede43c4c0f90e54a887a08cc06fa0f3934
1.117 395.350308185 (51.85185185173389) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4159 214538 0x5c8cc6755c59dcba466a6ff19692f23efa5e1017a1a42dcbbeb1c99a7aa508eb
1.213 672.095523914 (51.85185185178246) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4159 214538 0xae3f9027b75744d1b5e56b328184c752d7769ee6eab4493b2bf86fcc6a9f5a53
1.313 394.561185814 (-52.03817415085157) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225989 0x7d1ddb5aa34bdc32c6a857760848f7cd0e93bd3b8d61a21266ab73bf764a54bb
1.357 394.561185814 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225907 0xcfe7de12ef2eff14ddba2784001e83d3acffa03a66dfa4af582e99df643cfb27
1.381 136.526361874 (-97.17223650349591) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 226022 0x16ff4bf63416fb2a87c304ab59e305a9caec35dea1ff21eee191b8955ba99fac
1.410 670.754015883 (132.35244376763688) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225989 0x5bda6d1835ec3d62907c39250aab26364b105b6ee371011e9d5c142e655fb9fa
1.560 761.148180832 (12.62574569078501) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4159 214538 0x9744e9296075678e6063c171f7d0cc47af544dcdee10c456c0fd673fdc70c681
1.629 759.628922987 (-0.19980019967223536) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225989 0x854caf492640fc994def1d310bbfde44a00c341632a80252d90e05d3540773ae
1.707 860.279755282 (12.426729191000241) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225989 0x56dd5fe92dea909dcdbd729aeeea835577ee3a61b411c9a3e3b7028ab4f6f686 6235884 6235884 / 0
3.760 670.754015883 (-24.757878365385157) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225907 0x069555d6be163f8ab177cab2cbc5b447d14744d8ba50a4cf2e4c89d3427ed9cb
5.723 860.279755282 (24.757878365385157) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4558 225907 0xd497e63aecaa25716528632299acea5f1abad100502b76ec6c3d7b176188129a
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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.