× 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 #1031 - 2018-10-15 21:35:08 to 21:35:14; Start Time 1539639308.9425483

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 324.231604685 () 0x44c2e195AB76797Bf16f417D13f914e1dcA94FfD/95 280000 0x584629d0b214548a48003f2dfc6d0d133b04bfa5e82922622bd125d291918544
0.213 5.000000000 (-193.92524906011514) 0x4fCc2FF6c75923D33B4F5aF4C524461014B2EE1C/7052 780000 0xca3ad8af4eb700208928ddb60527642fea5f9149fb790756a1515d702a0e5d56
0.366 337.200868872 (194.15547948024616) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4858 240994 0x343498cbcf584762d721775c8cee25c11b03a2d40cdc7513e53b9d266912f762 6521964 6521964 / 0
0.454 337.200868872 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4858 240566 0x8a4b08fe9cf0d5e575595d3f99a720bf671389b30d218ed3ee08a7f7ac60459b
0.986 337.200868872 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4858 240694 0xdf639e9111f2ab6153df99192e9097bdc6818fdd7124ee7bbc581677c91e644e
1.037 5.000000000 (-194.15547948024616) 0x4fCc2FF6c75923D33B4F5aF4C524461014B2EE1C/7052 780000 0x73bb995d7edd39e26d5c298fd53bcf9176cb865002d62f86de24f09beaa6ece2
3.515 5.000000001 (1.9999999998e-08) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/21913 187850 0xa972d69bdd8367b2e0619a6829486769833a1583f6c81e892bdf38313b917a6e
3.757 5.000000000 (-1.9999999998e-08) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/21914 516077 0x5270b45c9a584ca76d40261b03ca7f1452457779ca07b10baf03872a376c93b4
5.481 5.750000001 (13.953488389399677) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/21913 22000 0x8be96035876585e5bc3a2e8cabdd701c721bf29b54434c7984bb2b66585e159e
5.494 337.200868872 (193.2935000049476) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4858 240809 0x858b41990f5a36289c7d54b637a0746f9ca9a3887b95b602d4265496c556d021
5.865 5.750000000 (-193.29350000609438) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/21914 22000 0x408c637c91b86788d31c96e13b1aa83fadb53d68c5ede27d39035da2f15ef701
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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.