× 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 #703 - 2018-09-27 03:45:25 to 03:45:31; Start Time 1538019925.2654846

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 60.000000002 () 0xF3A3fD06A875A09d7Cd5fd18FDBE22493fC86aBD/7619 338884 0x8473f9dcac3e9ac01e2f4355cef60c33ea0ab5b9af6e314de1b00c9fa58f9380
0.044 60.000000003 (1.6666666665972224e-09) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12912 250000 0xaca2483fa50ce6ecb9f405adc65c4d4f6e5eac9574df1328d428e83201e25e59
0.671 60.000000002 (-1.6666666665972224e-09) 0xF3A3fD06A875A09d7Cd5fd18FDBE22493fC86aBD/7619 323884 0x8f96716f38de1d88488609bd7d9f988df1f4d59ebc9238fbe095ddb422092047
0.754 69.880828926 (15.215223071108486) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4775 210646 0x78559168af48bc5c07e4c2f8593b2aaeb44006d87b5a06af2f01649d1aa10b86
1.012 410.672641172 (141.833046040226) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4775 210834 0x3f510b19f164a4591878eb138352054c28fbd5541774f2e11998d0cbe2df6d77 6406857 6406857 / 0
1.522 53.040000000 (-154.24752720482647) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4775 210760 0x2571909775eac14a66d04c47cee2cb411bd9bafe3d41bb17e6fd7e3a46a2181b
2.301 409.782369378 (154.15951906448953) 0x0000F7F39325076881E5fC566E99595542532aE2/15872 211090 0xe0c993af0fdfc77b554508bd20005923daf5d7dbe60725455bf00b2d99cb3495
3.356 21.840000000 (-179.76008515826177) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/12034 210662 0xca898db44f84a9c48d1201fe87610e5530c8151204b4e3e733c9f3edb9cb7317 6406857 6406857 / 13
3.803 0.000000000 (-200.0) 0xB7605ddc0327406A7aC225B9dE87865E22aC5927/9241 210000 0xd37a0618ca0e795fb35945c7d7c77b9922537d02f3dbbed9270bf2a30b2c11fe
3.813 0.000000000 (0.0) 0x00a329c0648769A73afAc7F9381E08FB43dBEA72/7312 210000 0x4f67b029979e8cdbb4d31d5309fadd7ebe7ea9a8b30ed6414f621da42ac2624c
4.508 69.778219131 (200.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4775 210819 0x4dc6476ad7bdcc0f02ec7d3fa82a0c64938a6fa8dff178f8b45d983dc6fd89dd
5.284 410.094915253 (141.83611114585744) 0x0000F7F39325076881E5fC566E99595542532aE2/15872 211000 0xf63f53aec3706060cdc4ebe8d87b7cfbb1626e3f772e29334436dcc7faf48c52
6.258 60.000000003 (-148.94648033338055) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12912 250000 0x8e4fb3c588f93bf928913470bb5763a2ac4e1efa9d49bc69133a3386bc3e615d
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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.