× 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.

Navigation:Market Insight | Bot Trades | Global Market Summary | Bot Strategies

Global Market Overview

Individual Real-Time Auction Data

Displaying Page -1 of 133

Viewing 20 items per page; switch to 5 10 20 50 100
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 #783 - 2018-10-05 22:30:28 to 22:30:38; Start Time 1538778628.228057

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 5.750000001 () 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/18833 430053 0x2a5d850eab62b0cddc808ca5e682d741957bfaaf533e479e6143698663f4a739
0.961 6.612500001 (13.953488369835634) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/18833 430053 0x3e4191f6c741ec8f7e2c77788e2b5073582335068cb40a83c49f109bf9b64a64
1.511 220.000000000 (188.32809310877235) 0x2D2ca04B65A8c1D007237698d215FD12C7dA4b3C/47 250000 0xa261c71b46ae5e5ea8e99200939dfd6bf74f126aa63fe948fe62d60b5e4d935c
1.589 100.000000000 (-75.0) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/18833 22000 0xcf8782b6808fddf1c81d3bf1ae7c07e1e668f6412f9580e453802e1bc6d6df8d
1.718 5.750000001 (-178.25059101297163) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6455 430053 0xcd07889571ddab6f7b3e59eaec6d68e6a24e7b37557c6a6456a0c8adecde99b9
1.842 5.000000000 (-13.953488389399677) 0xF1fD52EE843Bfed02De920647DA273082c1B4148/3553 31576 0x2bdb902cb034e7a31f486b8ec8891e271d7493a87840ce4ef2e91438d942004f
1.938 100.000000000 (180.95238095238096) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6455 22000 0x99a44bbc123f7b665798d90f704cd686b711e310ee9c28a7a645422dcbe4eec7
2.059 5.750000001 (-178.25059101297163) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19601 430053 0x5286eb2fee2a04ba6d619ccd050b3bb408036329e717f08c9f36fc80a15f4bd7
2.424 5.750000001 (0.0) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17708 430053 0x9098dfdae7eb7093974af048011ac08fd80488e35e102a8bb2a07042335455f6
2.458 100.000000000 (178.25059101297163) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19601 22000 0x1a189a6f175d4325cca0d8ef3e3d00d6419a0bff67d2dc011ee0c4a93b03170c
2.752 100.000000000 (0.0) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17708 22000 0x49461bc68bdc1fcff1e3b70c320346d714f6f8f08e8f36691ce248a1ac0c9592
3.085 5.750000001 (-178.25059101297163) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7515 430177 0xc320077d33a850fa4022848b042bb132ef56b8c5eea09af5d3cd545faedb40ec
3.465 100.000000000 (178.25059101297163) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7515 22000 0xdf191b7016a823ca3d4839c4f679d52b45137f9479f0087a1042304dfeaeef2c
10.532 114.999999999 (13.95348837122769) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7515 22000 0xe2c3d043e93b6238586f78b14668331d50c49effd6904de1bd7970bafbfb259b
Displaying Page -1 of 133

Viewing 20 items per page; switch to 5 10 20 50 100
Project of

Friends of Hack This Contract
100% MIT licensed.

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.