× 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.
*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 #360 - 2018-08-31 15:35:16 to 15:35:18; Start Time 1535729716.2580721

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 128.784225351 () 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4572 226125 0x0d6573152565b172597e9aab1932c9817722d918d90d6f7962368ebc0a363af3 6247337 6247337 / 5
0.381 89.796071825 (-35.67398711568856) 0x0000F7F39325076881E5fC566E99595542532aE2/15851 225988 0x65500c1764ddbcaf9cbf324c6c5773074d97a9ff94bd1ea55d7fe712d4450567
0.800 21.840000000 (-121.74572378635378) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11712 226210 0xb1db2122c0e04bffd76fa29a7bd1000cfa382df44152383a2663787339f6ff0f 6247337 6247337 / 59
0.894 21.840000000 (0.0) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1517 226068 0x99e33b4467a98bd53b06d8fd84c9c4a05037a66a7a9912d86a5fd893952c171c 6247337 6247337 / 58
1.034 128.670174042 (141.957412144363) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4572 226243 0x695b59da743b17d33877c8b540e96abdff80bcf88706e1b94e907d1408110d1f
1.929 21.840000000 (-141.957412144363) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11712 226052 0x97236a0d55a563454c60c86a0ab4e0a84ac5ed59780ed740a91ea1b12590d588
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This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. .
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.