× 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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Global Market Overview

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 #1310 - 2018-11-01 23:27:17 to 23:27:30; Start Time 1541114837.1440926

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 20.000000000 () 0x11277f538111EC441783F30d3c98f2648AF689Bc/914 135963 0xf6d3d8ee81c69ec9d20e6dc4c7701a337d5c2252715100724b228e0244a0137f
10.267 7.000000000 (-96.29629629629629) 0x074976a8D5F07dA5DADa1Eb248AD369a764bB373/10201 850000 0xa6e1a9065f77351e1c7b122f5f0a788f5265396d30e2f41d4ef818c46d00a761 6626410 6626410 / 20
11.845 30.000000000 (124.32432432432432) 0x313206AFcc9D645F5fDc35b6D60f1aCd019DE21a/48 250000 0xdc76580f25d722aa2317e0d26f4abb8389feae44a6f649e964ceba978615e635
12.392 611.010000000 (181.2795432208546) 0xDc569cE2FC0Bb5F2f8c3C6Fb671259d8965e029C/985 135963 0x3ccd832d8480817475e0c4be436ebc43f44b7d276f2493537dc733faa571d5c6
13.826 500.000000000 (-19.983618509284344) 0x11277f538111EC441783F30d3c98f2648AF689Bc/914 135963 0x5e57332c441acd9cb3a860e6a664bfba68990d84667d87c472979b6c5ce93760
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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.