× 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 #25 - 2018-07-02 21:39:53 to 21:39:57; Start Time 1530567593.417798

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 326.000000000 () 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 213892 0x8518c66d2993f3d258d73f4e164b7062051db5c17a89f1616eb7dcc57c0c825e
0.561 339.040000000 (3.9215686274509802) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238588 0x7d0dab88ab184911a2026ef9f607ccd5de1add2cd1b06b0e9cccc3dafb06f314
0.760 368.380000000 (8.294930875576037) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 249209 0xf6c5bf8d14518cb714c849899983d43848fbc6e1a1a53aaf75318e6b75e09a03
1.131 576.368000000 (44.03036576949621) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238673 0x8ea01437b02f257ba31f8416edee4bc4d4bf98d24f4a8db79e53050a5dad2ba8
1.188 577.520736000 (0.1998001998001998) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 249209 0xa8658affc0cee9aed8c43721c856675e7d4c3e6147e7a712c4c7255db159be3c
1.719 979.825600000 (51.66543301258327) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238673 0x296c40a2666b749b1849af55a48798fd635012e32f1dd35d4de986c16dec674a
1.725 981.785251200 (0.1998001998001998) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 249209 0xf34c6317d1877f58ebeec9be597b6ac5960d62450c07d837e227c217435a607e
2.014 68.000000000 (-174.08993890044852) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/5167 185752 0xfac09755a84b5ca751462dae97a84ffb30a48a7794c0915742ad448c2b40c52e
2.161 1665.703520000 (184.3110429861733) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238673 0x31c869f7c19e8e071647243196177a0e9144fcb6e805c137fbf8dbe7024bbcf4
2.216 1669.034927040 (0.1998001998001998) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 249209 0x727ca6253e714cbcbb52729899ed5d6580f6a73d881f134d4cc61b510471d8ab
2.733 2831.695984000 (51.66543301258327) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238673 0x82d5f5032b114c0e98e83e5cb3b46153bba5d06f6db5dcc71b61cc98e3b0fe38
2.767 2831.695984000 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238588 0xedac1c14f8a36775fd10fd7cb3f026cbeb2fe88231baba77a90427c7d1149b4e
2.772 2837.359375968 (0.1998001998001998) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 249209 0xc566cfe518b14808ea8d1ce3794ad4ab4c0cd4a1bddfacc750682b22ecc03bff
3.127 3206.895701880 (12.227687983134224) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238673 0xd5206b19ddbec6c226796a96a447ba117deb202db016198c26ab5739c751e05d
3.181 3213.309493283 (0.1998001997765482) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 249209 0xbc8f0e3e2e9c16f78dbb9248c6c9a83f94df01a3e9410801fd59510d75fd12d9
3.644 3631.809382379 (12.227687983155043) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238588 0xab792a209c47075fcf7a56ba54d487409443bb73fda6c16efdb1cc750fc9c607
3.686 3639.073001143 (0.19980019977937033) 0x7E77777772d74Cba60638F3C19C60A3387172a06/3841 249209 0xb2a97d0f625f598257b7bfed79ec0cb495a4f9ad5c556acda2523c6313064dc9
3.735 3631.809382379 (-0.19980019977937033) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238673 0x0c214029ca777acd1783cd18d6c42fc2672d2eb3a1fdca19ea125c832e2e743c
4.015 4113.024125544 (12.426729191085002) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4087 238673 0xd7449904a3ce7ac491230725419fe92a8e4bada77c7cc42e108fab19332cc46c 5894679 5894679 / 0
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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.