× 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 #910 - 2018-10-10 11:14:41 to 11:14:57; Start Time 1539170081.7354498

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 14.000000000 () 0x41FE3738B503cBaFD01C1Fd8DD66b7fE6Ec11b01/3684 121809 0x41ec9567cc5d3168710dc2d2b7ba0c1365b92c8a1bfc90cff2fcc7c963375f19
2.643 20.000000001 (35.294117651903115) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19947 22000 0x7be6ef12b8af9a06b882c69208b4f0835ef56db0acdcd520b8df28ea6c38ca97
3.321 6.000000001 (-107.69230768402367) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6819 359423 0xeb0ce3113ee55de91cb01ded054cc264e13542511b50d96d438181f25d840cc4
4.042 20.000000001 (107.69230768402367) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6819 22000 0xc5a439aec93ad5ed52ff0ea32cd2fb09af55fcd6d29b01e31091f0652db4f689
4.079 6.000000001 (-107.69230768402367) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19831 359423 0xc5a9b9530580bc7ded05c4e21513c3f958c88f4de85f81d391a32f0b9310b456
5.277 20.000000001 (107.69230768402367) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19831 22000 0xad2a78cfd5c7bc031d1f2c1b67e44ed7f32ac3e275d8853e7d5f44f1e60eecb6
5.346 6.000000001 (-107.69230768402367) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17886 359359 0x0e907f17f3e09ff81eda304310441741ec185366ae267dc1586f1bd74eb7d9cf
5.652 20.000000001 (107.69230768402367) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17886 22000 0xdad35f87e2f7afd4fbf1159e54e584e8ba007c8b8811dfcaff603e049c445483
5.832 6.000000001 (-107.69230768402367) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7692 359487 0xcc5059af1cea64ea12fe02e464d0edac7be9ed917037478610dc4a5ee671ddfd
6.034 20.000000001 (107.69230768402367) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7692 22000 0x033c3181bd3b76fba81cc323ff5b490ed3d7f73e26b1b9c6f41c49b5f8efee75
8.395 23.000000001 (13.953488371444022) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19947 22000 0x5ee48152ef7e8f554bd2b63d116236abbde8c43f83e4db9f714c4b38165f7764
8.752 23.000000001 (0.0) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6819 22000 0x1f83e1cb2fb19d2189c466303d04b7dae960d98a48b60b1b3a6aa2d7306f2bd5
8.933 23.000000001 (0.0) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17886 22000 0xb8f66cc982ce0ec19a0cda6eba74874fd9ef2674ac48f1f17560520f12bb78ea
9.090 23.000000001 (0.0) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19831 22000 0x746958d11dc33bb73935b72c951d111a198a066bc54147a700dd3697673adbe1
9.224 23.000000001 (0.0) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7692 22000 0xa4f347c66515ab8bb19a22ff14c516545a2407338346a1a64dd36c76b96eaa87
11.689 7.000000000 (-106.66666666977778) 0x23bB4e19767c51AFd9beBdd5Cb23cEd735b97618/1502 146105 0x1f2a2ed0e12de2f1a8935bc999a22cd9d50a99dae8d5c110601ada5d96a5cdca
12.100 50.000000000 (150.87719298245614) 0x274F3c32C90517975e29Dfc209a23f315c1e5Fc7/89286 44181 0x09f0901757a6991e5264cb9ede17f536fbfcf075550b6510102d18b4866ea84a
15.018 0.000000000 (-200.0) 0x2191eF87E392377ec08E7c08Eb105Ef5448eCED5/37 210000 0xfb94944df54654c779f0ee554e940148419785c933695591250045446c4339ff
15.461 0.000000000 (0.0) 0xB7605ddc0327406A7aC225B9dE87865E22aC5927/9419 210000 0xca8dece601deaf48b2a594cb7024149aef2062efca9fe9bb3966d4aa235104ab
15.582 222.000000000 (200.0) 0x99C0779fc9A55bfe3f90371cE93337c351b80ad3/463 250000 0x7da10c01c5a152015e10b22ae9b8e1cd6e0d1f47496368233b0104adf42834f2
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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.