× 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 #252 - 2018-08-15 17:29:25 to 17:29:30; Start Time 1534354165.0335042

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 26.000000000 () 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/5560 284621 0x952939c546d7b664a857ec9c72f0839377a25b826814d069b2d1c45f5f3b583c
0.332 26.000000000 (0.0) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/3141 315459 0xf75f59da9c8f9f85cdab3ee6e139dc2171ad8f57d1a01ebf2f456bc7ed447e2b
1.134 118.128000004 (127.84191829685163) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/3141 315459 0x7602ea07965d043accd5c9de8600f4ab74207fb22825019117cbd18773bf652e
1.421 60.000000002 (-65.26542710864327) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12002 307994 0x241a3ddace35e3897ae7e18193a675ad09fd4b959a183e560ad4b13ad7f67e2a
1.728 61.000000002 (1.6528925619288302) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/3141 315459 0xd95a4547161169b146f41de8511dc57177414ca4cf8b75efdf452d8f23614699
1.958 96.800000002 (45.37389100011727) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12002 307994 0xbb6287aeb29641f0c35c95f8d8abd966185fb989a338589ac69bb01096933cc7
2.806 97.800000002 (1.0277492291669528) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/3141 315459 0x3d549efdf89a8ce72774d59703e311362429978ac5f358d9c6f64e56179c65ee
3.093 117.128000004 (17.985557955650666) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12002 307994 0x374883cd69a69fcbb5311b44b6db953099cced17b1ffa6a81732c973681ee263
3.731 141.724880006 (19.004524887688927) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12002 307994 0x40108a4222f277ef0b67a466607ba55938ce8c8023cfdde6bad984556f109562
4.221 142.724880006 (0.7031118605674431) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/3141 315459 0xd22c382b92720ef7278cdb9d4c29780b62d605e0831eaa5ded6a70a672ff3837
4.468 171.487104808 (18.307528797175575) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12002 307994 0x95a3f6ddbc286333b8063f3c63b18b40499a5dab0fa200867d4e19bd6476e4bc
4.540 172.487104808 (0.5814389405045005) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/3141 315459 0xa26cf3dd88232502cef8e4bb789d5f1873f3e441c9d9715482df159941e53bda
5.197 207.499396818 (18.428176716898587) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12002 307994 0x45694b6a1fbfd878238e06bdbe3563c9421207ae0c46d18c638929b4acb47e3f
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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.