× 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 #66 - 2018-07-11 11:15:54 to 11:15:58; Start Time 1531307754.6384234

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 21.840000000 () 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0x2bcf3ec39a3135a476d68d9b4667781b982ef0b6cb94f41a0e062bd02ad23a98
0.559 21.840000001 (4.578754578649754e-09) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11428 402425 0x46849bbd7d2c76d9b47a2050927e990859729d0dfd5429ade42c5006a7f9ca75
0.884 37.128000000 (51.85185184758087) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0x9a5543ac051c917f54ea294e6a6c9dd76957f0139b3b58949870aa3a83f49003
0.922 40.840800002 (9.523809528695484) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11428 402425 0x1d80df514ed8778c7e59b930876cfed891710ce85585ba362db8b24d50db30d6
1.105 63.117600000 (42.85714285247066) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0x2a40f7531efcf2ce7f4ad3ba17ee20adf60005375f76bb610b7d84bffc087d0c
1.283 69.429360002 (9.523809526683618) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11428 402425 0x9917fdea8b1b461def2b9ccc2fbd34571e9c8130e46228502c0dc20db8a9ae93
1.842 71.480682000 (2.911534151655259) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0xb6afa02c9518d52cfc196c4c531e0be546b08cdf718af9b90f63bfa79bf771c3
2.027 84.009525604 (16.115283138483242) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11428 402425 0xcb258d0db591f7bdcde0aadf15662465c878788ead340c2d4d401aab46996017
2.216 84.429573232 (0.4987531171832943) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0x0b4d472c923b93b5a735a4ee50b937282387ea3c852a7c3e93a39f41fb4cd7b7
2.465 101.651525982 (18.51015801469888) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11428 402425 0x1aaa9e098d61d804b403bccf591ab22b92275ec80fcc70c123cfbb603a357719
3.064 122.998346440 (19.004524888311934) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11428 402425 0x437892825a8d52b2e38a2e558a4ae09d0b2dfe974ed4edf7b74345c19a72d206
3.076 102.159783611 (-18.510158015861926) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0xcf1a2854faa489a2d6ad2a922e84d95249015b82c755681165e41e10f56b9865 5944425 5944425 / 0
3.375 123.613338172 (19.004524889034318) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0xd5f8c98dc09c2b721b22bd793602cc16c10e66d0050507690c936d9a235665b2
3.664 135.298181085 (9.026128266932322) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11428 402425 0x8be3c3c7a06773bc8dd8d46ec8ab6f6c1c982b063c2d9c2d4bbbf798833026ef
4.332 139.992105479 (3.4101634696862053) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10772 240661 0x4d56eec6e9c30048305b4076fdda96dad845fcd903936b0f1ede667e22f2f193
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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.