× 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 #171 - 2018-08-04 07:14:55 to 07:15:03; Start Time 1533366895.6729925

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 326.000000000 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 214404 0xd74b2260a6e52acaf12ffbc861fb2e9c3e726f14034bad12cc1ec6e4c36ac089
0.389 381.476749609 (15.682988773739984) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240933 0x9792041fdaaa88fc42ab5b7f7f957872eefddffe3520fa86dbe878005da13eb1
0.755 327.629999999 (-15.187205491914135) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11270 225732 0x2b22df380d3122684759b994e4beb2ec2f2d815ec27718e83b66745ddfe08ce6
0.817 382.239703108 (15.385838519373626) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 249483 0x1a6c974f7698e9512973c18f72dbe5f4e9a015b894e5a1841646c2d43fc7dee3
1.425 649.719655564 (51.83924157637614) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 249483 0xcc9f05d9c81aedc88f8fa71e1c24d30dbc4e90f75c2b3a3e0fa453f185304070
1.693 1104.523414459 (51.851851851868744) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 249483 0x43eef14530b5a32253ffc4e8fe725af86a73235240e31ecfec62c2040636d173
1.934 1877.943661368 (51.86446168526708) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 249483 0xa70cfafa7e59b574f4b66e6f739892dbfedcfedfae3f11905006a54819551065
2.013 648.422809945 (-97.33511470994111) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240953 0x1e2f1ed8a2949fbe4de6904f39ea516875929b0926e408c7e309c0c436f59ab3
2.247 3192.072667788 (132.46467142539052) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 249483 0x3a0c93f0af1d30be091b819bf29b025f1058588ef872861d7cc9620d3f483551
2.416 384.150901623 (-157.03278677442762) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11270 225992 0x63bb523597752b0495a3ccec37bc82472d75c087a63e7c4dee408e35e1498e48 6085442 6085442 / 2
2.494 3615.022296269 (161.5769677766905) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 249483 0x00c4d64e8644a3defcd97ab52fb80137e148316a6fbee42f48109c5b83bf9d33 6085442 6085442 / 0
2.726 4094.566246059 (12.440195664325197) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4010 249483 0xb4d271ac1b8ef8f824cc503ab90dfe63e0dcd902aec0682913e9cbca3414409e
2.917 1102.318776906 (-115.15542314021874) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240953 0x25c3203dcc8dd0532c5bb31ab353e083c1add0748e5ed758dacfc3635f6c56b0
3.251 4627.215009949 (123.04303854983816) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240953 0x56d67a7cdb496b625b762ca9aadb865fec4451503f0e06d91d3f05a625df0fac
3.645 647.416370298 (-150.90338462532085) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 241183 0xbb7eb2d765ab739434dfba6bcc2334d1aee39ee80042b1b65784802b5c8bc650
4.377 1873.941920740 (97.2908574558089) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240953 0xc97d436d48aacaf8a2f6a872907c298e262d5841dd1472e1d8b649626d2e0bc7
5.037 3185.701265258 (51.85185185185185) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240953 0xb6a4ae68e407fd0c0c3affdf6c7c189178643b1b2bec2d16856c4b4ab27222b8
5.812 3607.806682904 (12.426729191071356) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240953 0x51ba2d338ace6f90aa89b051b04f8c3edae97304ef968d3e9beb665aa978cfb8
6.755 4086.393459141 (12.440195664309792) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240933 0x2ddd1e3f6ec533dd5baa98282875872a7d5901801ed8327cae6d346b1b2fee0e
7.226 1102.467806369 (-115.0127359390372) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240933 0xf3b0ee7c9c065a619f47cbb694df0feef897041138173c07e1a3a94959d55d0e
7.684 1874.195270827 (51.85185185183692) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4358 240933 0x5c03904d871801b684705228c540f74803777e44e124ede7987bc1fd7ab0d780
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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.