× 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 #706 - 2018-09-28 02:26:44 to 02:26:53; Start Time 1538101604.2820387

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 570.662352752 () 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4778 224667 0x6bbf2981d115bbe737d280d02a2d76ca334978b202de6d8e834e336deb8191d8
0.212 13.000000001 (-191.0907394046013) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/17625 456008 0x22995411a8a48c586529e3fa30c2b5c98e93805839cc8d4bfbf58282f595fcb0
0.421 570.471714586 (191.0878284749746) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4778 224711 0x41227a6495d386bfdf0376f42fa6728881cb161aa431119f3185f20202cded41
0.914 569.598144230 (-0.15324856617246796) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4778 224913 0xc77f639925d0ca9d07299eec45976f6e87851d52bc4d742a87a3c2c44b887693
1.154 568.649769549 (-0.16663763131379383) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4778 225133 0x5787d30ca01ad436db49a0d1f9c3e1dc9eb0f9b61120fdb5cee42d0416277155
1.537 13.000000001 (-191.05991221414385) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6163 456008 0x274ba4685d1a4998bfc335466690658c91acb2e197bbafeb1e2292dd1589de2f
1.988 13.000000001 (0.0) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19468 456072 0x844babef67cf3e10629eb7165c84e1ef95cd0272d0b1c911f3acf46544eaac24
2.467 13.000000001 (0.0) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17609 455884 0x1c91d91c746a1fdc2b97c856e07c005aa3ef432bf14a04242acd4a07cfecabf8
3.551 50.000000001 (117.46031745658856) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17609 455884 0x434b6e7f949c40127561209fa8765ac4d53d36738228d5123e67f71dbe9d8634
6.227 9.000000000 (-138.9830508484918) 0x8bC3da587DeF887B5C822105729ee1D6aF05A5ca/164560 98096 0xf9bafec6f25789ccbf3f6c5a00c316620107e442ffeefc3be3390508605f310c
7.993 14.950000001 (49.686847605441045) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/17625 22000 0x609c539e80fcaf60017b189941d24786945281c1bd3ac8dc5ef1637ccbb205b7
8.473 14.950000001 (0.0) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6163 22000 0x1d19cee28ac35510029f9250631ac3b14b06147c4891310d699e3bac13fc73d7
8.623 57.500000001 (117.46031745707495) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17609 22000 0xc9c180e4c1163617d5961fc3e78a79ba072f5dab977b7c78c0f17313f7d3f4e7
8.903 14.950000001 (-117.46031745707495) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19468 22000 0x916c80f34d6a43df285263d71889757ed00b6c4879343c74bfdca9c859bf55ac
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.