× 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 #715 - 2018-09-29 05:13:34 to 05:13:49; Start Time 1538198014.7235036

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 14.000000000 () 0xBE708D227F6DfA0B8f2698bf543B949Dfe4e28fB/12618 488010 0xd56a4d20192cdd8f9d692beee98ae38c6fba2283f78d24a669c8dbeaff89ab15
0.674 13.000000000 (-7.4074074074074066) 0x00923B9a074762B93650716333B3E1473A15048e/4582 940000 0xac136b47ce2bf4d534745226b3be6cebadcf6baf44d5aa6503b7d3c3f28b2811
1.435 5.000000001 (-88.88888887283952) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12952 347815 0x71ba9c4c816e3db294df0e1e01354479377d61990bb7d088ea27fb1cba1d6e52
1.741 120.000000000 (183.999999996928) 0x10E9d62C705181c0964d7FeCC29F06FF0d7596E9/2995 21000 0x903fb49f53216e05c3e176e52efafe4e88f2ced0e315f8870c06e268a61434ba
2.243 13.000000001 (-160.90225563638418) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6203 345063 0x1048aa2f7c9a653974b2685f97142baad373e5cf7f1e062f067ec2e7bafb77da
2.589 14.300000003 (9.523809537066107) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12952 347815 0x90a5d438eca34bb770d33ac402be4eeccf46aa606ab2983e906a788c877bd2b5
2.719 14.950000001 (4.444444430161443) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6203 345063 0xfb752f6dc1122ca9cc15eb787a2f8b19a424deb3832256b4f269023cddc20280
3.046 17.303000005 (14.590890791940428) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12952 347815 0x559ccf460491b28604c8b28511496b9f2c1009e5eaa66084a190a2e6a9ace915
3.148 17.303000006 (5.7793446204827835e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6203 345063 0xc0680932ea01c676c59e11b9d821d13f9e06b33f7ba1005432d9ec018acf67d0
3.462 20.936630007 (19.004524885647196) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12952 347815 0xe57d2d3585f2c73cdc108b557d770eff76cfa53d1a8fe7d4945c77f0b4e9563b
3.609 20.936630008 (4.776317867974818e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6203 345063 0xfd5fc5b8c91915f5f1f5a3f8775a0267df70f6ef3be15d82ac67c3ced79fb424
3.915 25.333322309 (19.00452488421785) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12952 347815 0xbffa6b80d3bb5093282a328860b84e4311801cd6570555cf8c1cc7a5dd91830b
4.016 25.333322310 (3.9473701387559414e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6203 345063 0xc63c340ca53d28d0ba03c4e9ca5acd1d61eb720efabdbd1de529df0e7164496e
4.350 30.653319995 (19.004524886554545) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12952 347815 0x228baf6a168fa63d0720f8e222ecac00d5769adfdd1d4c86e71c5765726b8b06
4.659 30.653319996 (3.2622893707657217e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6203 345063 0x63a05c28651e359e4eb17ebb9c5c8cd4c33d8d2d32eac6bc53ef89bc4822bbc6
5.015 37.090517195 (19.004524886450348) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12952 347815 0x79208dfd62db12c217677d16ecc29cd33816fd616e74cd60d4e655dcb117380b 6419364 6419364 / 18
5.099 37.090517196 (2.6961069179195076e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6203 22000 0x9e84385013ce194aaee27c62ab1b6afee56a3c359c2cb44db07fd316f1dd2a22
5.253 13.000000001 (-96.18793553380527) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19484 344999 0x36a9adcb883b83bda18f8f5e6f8dbb17a4b11908a64deba2a1a25631151ddd38
5.469 37.090517196 (96.18793553380527) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19484 22000 0xc0baaf32417cbf38f91fcb31dc969c7f7b884aeb03f49bf1d9c9545f35aa79bb
14.978 42.654094775 (13.95348837115981) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19484 22000 0x5c150e085d5a1c1c77781839816b73aff9bea486e812454df069574736eea454
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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.