× 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.

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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 #1299 - 2018-11-01 14:14:45 to 14:14:56; Start Time 1541081685.0534267

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 285.714285714 () 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/3 21000 0x76c5845b94515b73b9bc307d8d51bf4cf894a00d0dab7af763330ee1f12e2380
0.286 476.190476150 (49.999999992125) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/2 21000 0x426db37b0e6408be7ca86e60637ce3647f13361d59f43cd18a44916131dd2083
1.397 476.190476150 (0.0) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/3 21000 0xcaaf9c33f7bb85f683edf3f0ef050dacf1c39e2f5f5a4682570a03c97068d620
1.853 285.714285714 (-49.999999992125) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/4 21000 0x3d9bd732ee941b86d5b31238b87efa603b058556de85fc92be62c467b3a21ae0
2.939 285.714285714 (0.0) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/5 21000 0x6d6540630a47c802fef913c0211b82baaa48404418d573e4509be3e242fd7441
5.483 285.714285714 (0.0) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/6 21000 0x82e77b9b1866b01f285ba0827a128c4143ace57da311a87cd8570e07dd565acb
5.932 4.700000000 (-193.5264892518014) 0xDa1Cc0e378a5a0C7e3f4D0564E2C09726F971f34/362 250000 0x73838a1e3d6b802d717a2e63b7c090b8edd2696f33547996b356c4fd0ab507b5
6.012 476.190476150 (196.09058591667016) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/4 21000 0x1f5ea34374924cf2ed3076484553a11c5cc6868aa167cd9ef96fb21af8813c6d
6.396 285.714285714 (-49.999999992125) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/7 21000 0x1a59d0792e9495ff26c76a8f8e0c2d9ec669a66b0b8368d343caa2381dec1eca
7.117 31.341609788 (-160.459199487994) 0x521dB06bF657Ed1D6C98553A70319a8DdBAc75A3/31202 21000 0x91897a9e7ed1789f2ba3791805b967d78b2b35f35c5d24126e9233afdb193920
7.119 48.389649356 (42.76375351657271) 0x521dB06bF657Ed1D6C98553A70319a8DdBAc75A3/31203 210000 0x54a3cf1752f443721ddfbff541cdd4e1eb6fa35f455cffcfaff3c9bc6b33ba13
7.121 27.015939278 (-56.68998933684526) 0x521dB06bF657Ed1D6C98553A70319a8DdBAc75A3/31204 210000 0x4a0d74c4f067d1115f83fb9d1f3f76911443bfd581ca86cf1114639a9204360b
7.373 476.190476150 (178.52496434885734) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/5 21000 0x0d6ef4b1f4dcaf6b5336b552d404f941722db80670484935867bad812eaeb6dc
11.557 476.190476150 (0.0) 0x5593038d69864ba41efC2DdaAC1C3e37B73dA4BE/6 21000 0x56b8198f2afdde07fe3917d21bb53a89f2fe8e1561dc380e863dbc6eb162b109
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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.