× 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 #169 - 2018-08-03 22:41:25 to 22:41:37; Start Time 1533336085.8832524

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 166.039376714 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/4008 184404 0x2264e33dadd6edb490b38295afe6c698187ccb29d79905b59526d692fb8b4554
0.218 71.002194819 (-80.18608827166783) 0xf666666666E8025c503209ac580a5aA4b39A090c/330 184340 0x5e884114b636efb442e2b566a384461a2590f435aa1d259b2e98f9bca869de7e
0.719 172.680951782 (83.45161196517704) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4354 210904 0x1b0c80418c4904f8e8c057e1f56648220ed05873c1771ea369ab72445c4459aa
0.808 187.624495686 (8.294930875463486) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4008 214428 0x6488e7e404456cabc3cd01382ee586af6b6a30331553676ce7a54dc0a28b8820
1.004 294.144733265 (44.220440483895665) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4008 214428 0x7b49b36d6c5d34b5c11d00b8d726804a7167cb3cc071dc0a5465ab06fa7fb34d
1.346 172.680951782 (-52.03817415092361) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4354 210774 0xcd42f876e18438576938139a48d725e02008bec2fa62dda8a409c4159c607fc7
1.354 173.372366312 (0.39960000025902825) 0xf666666666E8025c503209ac580a5aA4b39A090c/330 214406 0x9daf7fc55d5298e575f97ec32c94fc45f12e992ec46173321bd4754cd5d7d4ac
1.585 294.144733265 (51.66543301294109) 0xf666666666E8025c503209ac580a5aA4b39A090c/330 214406 0xfd02c7c2b9ebf3cc3874d6a9b605102571420b0cb4fd09375b67b72a03ee32f4
1.642 332.383548589 (12.206572769818171) 0xf666666666E8025c503209ac580a5aA4b39A090c/330 214406 0x1719fa0ec198995dae448f1aceb8fa70143284f8df286764aee3dc93003cab8e
2.875 499.047950649 (40.09095210194623) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4354 211007 0x56d3658836b0a587bc8170d0203f705d9ca4dbec33eb86fca6bfc319d831e9ba
3.547 293.557618029 (-51.851851851795786) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4354 210904 0x361d97442ec9e4e00fb53985d4064a5f34c4a89e8d9f7da6a3d5ef3cd2cbd79d
3.769 500.046046550 (52.03817415095742) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4008 214428 0x9e53f17e3a2cf7befdfb2e31eac86cd2df6964a8a9d40363cda70a097c27004e
3.838 499.047950649 (-0.19980019974060534) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4354 210825 0xe14f1b103134aaf0b49ba2d5c87d416cb0b430f486183434a0fb8ca0429a73e0
3.967 501.046138643 (0.39960000071884916) 0xf666666666E8025c503209ac580a5aA4b39A090c/330 214406 0xbc9bd4b383ebcbacff93a9b0ee1761fcf3ba2017d77e34016133cc31e450a753
4.163 848.381516103 (51.47891793063604) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4354 210774 0xb9ffcf20638db3f9414489cfed747b77f8517daa81f761f7b993e54f646572ae 6083247 6083247 / 37
11.205 848.381516103 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4354 210904 0x1a86bade68e2b498e12918c597e3d91a869da88a56db1d3648b047c817725489
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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.