× 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 #371 - 2018-09-02 10:52:46 to 10:52:48; Start Time 1535885566.0984848

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 94.011675120 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/4170 197964 0xe351b6c535b87667f891c5ed6404d8fbd8f5f48a0942645d5adc238a29646351
0.392 97.772142124 (3.921568626633066) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239865 0x209fccb805c5bc728bdb74ec235c5b1fc0fbe48d93d4f51c82398e0c44a79aaa
0.710 106.233192885 (8.294930875829035) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4170 233129 0x82e7f9af01b14bc5d54eea713e14b21b5511656a8e93d0c1f5adf691b1c5645b
0.939 166.545066893 (44.22044048311232) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4170 233129 0x1ce0914532f95db61c602851271c1346e4b6610265894bfcfef7d503aced0a36
0.947 166.212641610 (-0.19980019966810356) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239885 0x64a7cea9551389ea49dafc6b935d9e5e56e05588503fe74070a4de932542b4bc
1.087 282.561490737 (51.85185185185185) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239619 0x87b2c1b7828926e83fa713e89a688941b90b45b68453122f2619fe679700a1f3
1.146 283.126613718 (0.19980019963278373) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4170 233129 0x5d18061456434f74f56c18f1c1958a2637cf3233b03aa7d4d2eb0ff1b652f7d3
1.352 480.354534252 (51.665433012564655) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239619 0x6b0215ffe2d691c03a7f380de0200b44913d194a6eaac7ad9dc3e49c27264bd7
1.375 480.354534252 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239865 0xb1573f2b818244ad9e822e56cd1347a51ba896b839874ca504cb694782d90064
1.435 481.315243320 (0.19980019969548682) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4170 233129 0x213b5c407c15ad1725b38b12f6f8b36f00049160bd2348bb959b4bf00bef3ce1
1.707 816.602708228 (51.66543301263529) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239619 0xd394a09eebf3000284d4e43166982ab78fb08e24afe04bbd7c8437b85087f40c
1.800 818.235913644 (0.1998001997444702) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4170 233129 0xc274429dfaa6c53a5241f67325637e8223a2f52ac1073c645a707184742481d1
1.839 816.602708228 (-0.1998001997444702) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239865 0x8af6d09f6b6608cfa2e028aff2b91914922a12d945a3932c1fcc5ba6026c331d
1.932 97.772142124 (-157.2288576894426) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239619 0x0f842f19a8817a492b880f7f7807d555cbafb569f56e28710230e61be861c19c
2.043 924.802567068 (161.7545236567582) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239865 0x1e635ac9a0c9544540b6a74283c64b7062d628936cdd7091578ce59c59b8fd75 6257980 6257980 / 0
2.056 924.802567068 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4578 239619 0xb2daf2cc7f7d8412aa3b7a1bcf5e71f551d21ddec3bd93088c599e4b10920e9f
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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.