× 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 286

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 #687 - 2018-09-25 16:07:12 to 16:07:22; Start Time 1537891632.2081552

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 8.950000001 () 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/17354 468808 0xe4886e7f3d6ada8a1f8bb33ebf9a5e861572f326965e68696bfa06f9d98edd89
0.933 15.215000000 (51.85185184142968) 0xfF1b9745f68F84F036E5e92c920038d895FB701A/53180 162657 0x40dc9885474d607593408e2abce2d881a8cc2c4d142c6ed8eca3e49659e925e7 6397787 6397787 / 75
1.427 15.215000001 (6.572461386573366e-09) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19442 468744 0xb026ab64d4aa6d22a7eafcd98f715ff3a23bbca9c60b5d50e3c7c16c569522dd
2.604 15.215000001 (0.0) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/17354 468808 0xc7624a0f8c962c4706b059c35bb0a911a1f633042a1fb9678667c451c8c678cb
4.275 7.700000001 (-65.59022473789307) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6109 473267 0xba143f8c67aad300618c8e5a37226a0da6c694dc39fcec955c25eee247a576df
4.521 25.865500000 (108.23911455785735) 0xfF1b9745f68F84F036E5e92c920038d895FB701A/53180 162657 0x3f112b7e5212a6258491c615a22b4e0e22e801b4726bc9b24e00cd48ac7053b5
4.831 25.865500001 (3.866153756860178e-09) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/17354 468808 0x1e8decf898d946dc41da327eeff753f930fea7912a9fcfc4dfde885a31fec547
5.110 25.865500001 (0.0) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19442 22000 0xa8c2c0d744f7eab4853d8ff34cd411b4f317470c53580a6c43c19573cb41ae1e
5.122 8.700000000 (-99.32157787680428) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6109 473267 0x1be15628417f7784e40664458419ca93c4ebd3057c0c5af08a942b35fc22f578
7.117 237.715553530 (185.87751483156146) 0x1Ad53F345695F6145569FDb61999041A72006d1C/6 21000 0xfd98ebcbd6396a6443af4de141f2137caa2a6b351308115d7d4e692443323947
7.760 134.000000000 (-55.80372009998739) 0xd6cB6744B7f2Da784c5aFd6B023D957188522198/33626 121000 0x13e1db5d08d9aabb8d58c66c3cc8bd5b2c9556a1f941de1d841962982c65af7b
9.462 29.745325001 (-127.33758963605626) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/17354 22000 0x5d10737845eb41061c5c4a3236a993ce947b59b1ba92e8f5f5b4b64c1f811501
9.951 29.745325001 (0.0) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19442 22000 0x94ffdeed687c25591850780f5805e65418c68b3d8adee135b319f15a6f1b52a9
10.214 10.005000000 (-99.32157787642437) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6109 22000 0x62183335df7afc32f392ca2dc6697e3eb8f36eae6bebfd837d81c18276f0aeb7
Displaying Page -1 of 286

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.