× 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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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 #112 - 2018-07-23 06:45:45 to 06:45:49; Start Time 1532328345.7133641

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 186.271329705 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/3945 169468 0xa03ff2da921a001255cd9cb9e5711a64d40eec9a6c18d5f5fda9f17ee4b85c1c
0.592 244.761735690 (27.139637619865297) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4230 211293 0x9b2b7e070d987f836f8970674e7e1652f0df1304a9af0eea4c7ace0830e8f0ea
0.810 245.251259161 (0.1998001996452568) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3945 199190 0x2b906ac65eda9cf5e0577ae2b9abf9d626d3b6f39ae96fbee309d3d92798e21a
1.038 416.094950673 (51.66543301272788) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4230 211293 0xa6a4bf6468f5d34526d19439dd7c2263cb19d57c9615e93d85acfacae3367d0f
1.042 416.927140574 (0.19980019971721175) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3945 199190 0x60e1c30c479b95a7346fd3f9e40761d251409684d47dc947f940c8e365b34341
1.143 5.300000000 (-194.97900585661557) 0x4fCc2FF6c75923D33B4F5aF4C524461014B2EE1C/5181 780000 0x3ef8603981f559254bc861c09cdc9c4d6b1cc9cb59f79433c5218404b5bc2c4b
1.473 707.361416144 (197.02523533339198) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4230 211293 0x6f1f453e2d58f87b814cfd856d8b65108cad47558560c7eb9e137b53ded17fc2
3.390 1202.514407444 (51.851851851789796) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4230 211293 0xf81bbad0f49e86d249a5193d2ad89995615c6bc051bbb66fe8c32a1f79091576 6014450 6014450 / 2
3.562 1082.875252692 (-10.469913016485815) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4230 226061 0xf8ab33013d552caf32e7c28eef2ac0a43cd115217332a5e3cfe72c0db0d10d5e
3.565 737.127184533 (-37.99424232488063) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4230 211009 0x588386dd8c3fa493399ea5805fa5a153bc3f597e980542f8237f91f21e10ea3f
3.614 245.350778330 (-100.1094018984271) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4230 211009 0xca2069eab73737a004a77999877ed1880b6ffb35ec69b99d210800a65ecf3d48
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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.