× 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 #254 - 2018-08-15 17:01:03 to 17:01:19; Start Time 1534352463.3275256

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 36.000000000 () 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0xd34bb7ef2adc08bc238643cf0c481af8e6694cedd60e67b832030787365c9b4d
1.014 36.179999999 (0.4987531144430417) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11483 210759 0xfa2266daf7490b54f8c7814eda19d3e3c70ee50158e1c549d64798a93bc56814
1.674 60.000000002 (49.53212726710821) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x0b2f2cc7df64eb699633e9e28ee761b6fc707e50414ad433a242a5b5e76cce92
1.941 61.000000002 (1.6528925619288302) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0xe0d76faeafaeb3ee0741bbf15b990f333ab806b89a4fe46d48a1bb4d5a8e4334
2.016 60.300000002 (-1.1541632316189887) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11483 210773 0xfd16db50ebf68929377578aad13e844aec535127f3bc4acaf991c78d61bf6912
2.173 60.300000002 (0.0) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11483 210759 0xd93a9cf7fc66227b66c16cbe371c76b12359b4e861cc8ef3167bfcabd57ede91
2.357 68.289750002 (12.426729190703716) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11483 210773 0x4e63261a00b42b29a6ed952af651918c9bb3dd955a151cddc6a92faa5b74e52e
2.467 72.600000004 (6.118614025245188) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x20a3e9d3cbdb4e6b3909a48f414a880db1d05f11544a6f2d8639027d3b67e888
2.800 73.600000004 (1.3679890560126955) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0x80d90d58cb5d8295bcdfade5f8f0b3dc314cfa12900aa195da8a65842289c1d3
3.553 88.739750004 (18.651932135233572) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x7a9c0387182a9da63e2e60f55e029eb040fbf2879dedcc15176c3f104d2b557c
3.744 89.739750004 (1.1205768729239796) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0x6b36f77d6181c8f0739a4ba4e19ae4295a7a5ba95a63146cc3cd8570f494038a
4.258 98.713725006 (9.523809525426696) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x8fe59cab654554d6ca829f753362e87e5fdecbb0b73558752ae75db71c78e7ec
4.497 107.375097506 (8.405475264914642) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0xde66927b5e677d487a611a60f51ff6c768068afe9518fbb432edb99989eeb792
4.524 103.200712504 (-3.96473365274175) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0x599cb5027bd5a54fdc693206f06d2ea4de4f0e146fe851b5ea2c61814386e794
6.313 119.443607258 (14.590890772657627) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x0b8837795b7d6cee3dff34836da2889da3af943be3eb1e77a50877278cf1b665
6.529 120.443607258 (0.8337251337197064) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0x58f787be89a0c730515db96122cadbb026fb1a04fafd8f36f82da294ef92e746
7.008 144.526764783 (18.17800030961462) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x3fd6bd4e58abe319b274092dc3e23e58415e6c04cf2e70ca3f68fc408728cde9
7.219 145.526764783 (0.6895278961068155) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0xa3cb75ac979d4f6c2175f80221cfd33ce06968904ef51f366211f81b709b9344
7.540 132.487967985 (-9.379932256238178) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x133af9bc4184e16e88f5ec7250e26a453d427fbb83854012d8455b88b99424f4
7.909 160.310441263 (19.00452488758871) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0xcc38ec26bfcefd62d00890cdebaa34ff75aed2e70b4ceec518ff718d03ff3f4c
8.145 167.355779500 (4.300314033344238) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0x667788c28c9cf594404edecb159aef7370c341fdc4cb0f0f0c84163ed8793892
8.898 193.975633930 (14.734315058470282) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0xc5d6b5628d4dca08b32bfa995580fc9d6fe5b62552453093c18f9f8a3dedb255
9.088 194.975633930 (0.5142032345090297) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0x04b5c9ad60714234ec7888a768ae3967a25ba465a1882a27dce072169f65fbf2
9.811 234.710517057 (18.494840029508964) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0xf2c5164453b5e339cb4301e1f3ba4f3360e7002e8b6be5a7efcaf2c3a4ac23ca
10.034 235.710517057 (0.4251510572368088) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 352161 0xc0f3d0f9a81fbae605b1dcbe8ebf1883cd2fe40a9e5bf6988842cf93a0e47c02
10.474 259.512568764 (9.612658370940053) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x41f92b7db993cee37aa79d3072763065db1e27bc651348b902ae3a0c41a5c420
10.605 271.067094615 (4.355434875665956) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/17534 22000 0xcf2babd75ff4928fd281f1f2545a11047ad455314af9b6a564bb8dde42dbdbe8
12.456 314.010208206 (14.679466588071739) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x4c11efa6b37dad5d6f43eaafd73581b54a4bce53b9e93b86ae73830b88eed256
13.321 379.952351930 (19.004524887070833) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x0ee725b33ba148c00d60379d9676c19059c9cef640b5f2a06aa80cc2ea2b26b1
14.112 459.742345837 (19.004524887244262) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x2c2816328987b74e6d0fae55aa16fe0a8e7211f8bf3f0e649b1cb2480e1ab1e7
14.847 556.288238464 (19.00452488709694) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x6dd970de8352a2dfe4a22f4d4514b580babe9773819ad709cc057a3f53014921
15.563 673.108768543 (19.004524887107497) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0xe749ca48c2d72efa0df6badc78b975101dd0da75dff6e9bb816d34dd74e8c16c
16.278 740.419645398 (9.52380952390385) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12000 420237 0x221cfc132252b1d28556ad8ab72655d10728da0650f973d67869a572352031a8
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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.