× 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 #355 - 2018-08-30 17:45:34 to 17:45:41; Start Time 1535651134.4019375

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 21.840000000 () 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240771 0x6b0abf54a6b2b7054c1a8f69a1e82221384c32e800617bb50ed5eb4ca7681249
0.735 21.840000001 (4.578754578649754e-09) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12284 431925 0xe62757c0265e186f91eff0250d6a8ee64d1f0b7c0e84529ce7376eb5692ac278
0.793 21.840000000 (-4.578754578649754e-09) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0x40b5c777a6cdd71dc47d06102a1e1983b2c5bef35924b3f6a03b052ccfef2278
1.469 21.840000000 (0.0) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240971 0xe1bfd9ce6084ede5fcbc559f0ddcd188e797773e9ec9247945da61c34870c08a
1.696 37.128000000 (51.85185185185185) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0xdbe04c4ecfde225481764b263ecc49508a74c2268ca966303fe7a137025ce01e
2.115 40.840800002 (9.523809528695484) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12284 431925 0xf6481141c572aef17c92f4f6202d894685711ffb9fb5bde7210f320981273936
2.727 63.117600000 (42.85714285247066) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0x9527f080828855759364a5f17b1ac803ed3c6776964d598e4f453fa46865f2a0
3.006 69.429360002 (9.523809526683618) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12284 431925 0x5cd3c1941179c356e313fd79bad4adfb24dc85f259ea5415713f60057a66a2c6
3.786 71.480682000 (2.911534151655259) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0x03b17928a6f708c795d4f183c35a6646833be61f9a1d16c79af0b4af2a8e3efc
4.180 84.009525604 (16.115283138483242) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12284 431925 0xaae14c40682386c536eb815b0d6234ce4e56a05a4fd9b5e6e0f14250fed47184
4.333 7.717560000 (-166.34555671672422) 0x41880a6C0BF00b0C159a8154d66B676a995D2383/17681 300000 0xc1c525db0809aaebbbf438209a9ef5014fd0a23165f20d21c0d7c776d77ec54e
4.889 84.429573232 (166.49896864151202) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0x5dbd2a55be2e1fb157eaed4b45490524aa01dab49195386ab509b4e1ce5ac89c
5.183 101.651525982 (18.51015801469888) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12284 431925 0xdf9708f234e5c7bf811da94ae507acc4b9c3ee3cfa299e64dd418652d8221b65
5.839 102.159783611 (0.4987531163162266) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0x397d438f286be4d6dd9cfd94f449d12436959689a56d65807d2cb57b1529a612
6.097 111.816678581 (9.026128267636201) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12284 431925 0xd74046823cf65feaae3d009b69cfb13d48aeea84b61ef39a9da68820ed257309
6.569 115.695954939 (3.4101634691499307) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0xcc07a84b7f5f90a16b8fd00191d5bca96f4f1bfd42abc5ecabaa97067a458df7
6.815 122.998346440 (6.11861402539747) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12284 431925 0xc9075f8e9bb144f5885b8625b356b58364c9761d9df2ba7a985bdb32c5733e49
7.359 131.025668968 (6.3201288390839245) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/11702 240555 0x062a14317af2abc702412aeb95f5e6e96b23c5752571048a0469245c34f7d249 6241874 6241874 / 17
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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.