× 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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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 #1482 - 2019-01-31 12:54:25 to 12:54:27; Start Time 1548939265.1401606

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 134.000000000 () 0xa8660c8ffD6D578F657B72c0c811284aef0B735e/67873 121000 0x266e7c6fbd8ad65ea739d6d06fc61e6a9a42a0d33bbea67baaa299bb9e308099
1.163 10.000000001 (-172.22222221963733) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/43312 272293 0xa13646f7735d9199ac716aa0b7af8c3d2acdda1ae8494da509036e5978d876ef
1.476 13.010000999 (26.16254556442653) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/43312 272293 0x3fe5209bcbe72ccd0347c16562d3b0afa9ab3dfef0b6a6dc677179418a5471e4
2.499 20.000000000 (42.35079545263724) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/14683 272549 0x4aa3d9c382e623d8b2286e4610cf3f7e9fc51eef748d16a833d4dc697c70fe1d
2.796 49.095626546 (84.21843176030761) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/14683 272549 0xbb7e593ff8a7bd5d03f8eda47223f4d7c88c5311cc13fd4d81201d625a472d41 7153848 7153848 / 10
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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.