× 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 #1545 - 2019-02-25 18:01:59 to 18:02:10; Start Time 1551117719.1315658

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 13.000000000 () 0xEC962FB1Db3679c8F4807d60B4Fc16C180b70B46/15375 150000 0xf7f5b5cc8da1d454d83d609fa288e262d68f1c03c057f7660078c5da674b1f53
1.075 40.000000000 (101.88679245283019) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/50763 373308 0x68d03b6b102b98bcfa94056dd4cb5aeefbba1c50cda108b53508a6440b9ae2e0
2.014 100.000000002 (85.71428571591836) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/50763 373308 0x6350527d786fe7d868103cdf0bff5dc6074ae7aa710160474ac72b0d7bd862a1
3.183 40.000000000 (-85.71428571591836) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/17829 649935 0xf9d702785c44f62f676d5363c1ceb8331eed296b1edeeabed5de2e81e1b855a0
3.602 40.000000000 (0.0) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/24473 373308 0x1ab12b1389068d55e0fedb44b6eaabd948f9895c75199af36ba79eb309cc3061
3.775 100.000000002 (85.71428571591836) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/24473 373308 0x86166b57bad69de1de6cfb1c665da60c1a92a1d425b9385dd3ddf700fbdd42ed 7266873 7266873 / 0
4.405 100.000000002 (0.0) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/17829 258663 0x0b10cd57799f5fe29618de576b78d3ae0ba8544dd6b5e79220ee0d1957d4169b
5.724 100.000000000 (-1.9999999999799997e-09) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/20718 447537 0x63875dec2753b2b8e719f57cb721c4fdc43c6668f54a1d3af08dc475e76663ca
11.541 123.975135002 (21.408747003801036) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/24473 373308 0x012aacfee5a324cfa50e1a1115938b217be0d9dff451921539b609be763312a3
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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.