× 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 #321 - 2018-08-24 22:39:09 to 22:39:14; Start Time 1535150349.6956744

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 256.455369658 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/4140 183348 0x8a31b4a8a70fa31b836e8516a5b7253c4acd6746c7ffcde2902ff4b61ffbfd00
0.281 266.713584444 (3.9215686273310477) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4524 240103 0x7487aa69de3242ece52297ef786f5ff12e3091191c8241c89bbad2aec2aa9dab
0.479 289.794567713 (8.294930875509792) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4140 213220 0x66fe6a8c8680300c38b7e78ffc0d465616ec0ae1a27292cb3e8b6758dd2107f2
0.785 454.319919741 (44.220440483809476) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4140 213220 0x72815301ace356933e413845cda2037f03f8ea9b2786090d70a49b16e0870204
0.785 453.413093554 (-0.19980019977642802) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4524 240103 0xd605ff6a6f6656979549ae999d2485aafe5fc8b237ee226909464d2714dbeb36
0.957 772.343863559 (52.03817415096237) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4140 213220 0x6f245224c21fd4c19373c52059ea59b04c2ac53c8a3b2b8067e25dc906db8454
1.064 770.802259041 (-0.19980019978958277) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4524 240103 0x332471dfb1178c31677fd9efa48c1f95bb60fca61a7b0f30b4e8534a24abd497
1.255 1310.363840369 (51.851851851802024) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4524 239793 0x838a958452d7528e82933f4c5978c4ebcf59374f973b1f0a002a523b91e48cbd
1.339 1310.363840369 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4524 240103 0x9d5114e493c874907b6e49cff27f2e4010f43f18d5b5d62eef887e0537b32e45 6207607 6207607 / 0
2.063 770.802259041 (-51.851851851802024) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4524 239699 0x524e473f83d6a590c12d80b6c20e2ba5dc8ec6273518cc278a26151994ead41f
5.170 1310.363840369 (51.851851851802024) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4524 239699 0x97d0b33a153231fdc8e7135306627e578125219bbce95461964dbff1f17a4a31
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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.