× 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 #1482 - 2018-11-19 21:47:02 to 21:47:07; Start Time 1542664022.7392204

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 7.000300000 () 0xe7d97A788E6a0a0B4F27bEBEfBD0F95623e98E2F/261 2000000 0x158cf82eb1547e009120e534e696fd6c7afa20e5030e7f5d401f1028948a7b6b
0.470 7.000300000 (0.0) 0x042EABCc257ff6df43dB036Fd6Ef2FF5Dbae1512/9 2000000 0x93e0608fc6d8428b6988e4bac288f24cc7cdbd68c6ade168b84b59ae38fa4350
2.966 134.100000004 (180.1551095219456) 0x36F94220C57E34b6b3a294523De1977602Aa625c/621 2900000 0xb519720b6a872d16d8302287a66cf7e7666bc54ee246b44c05158d0a95752b92
3.143 41.100000004 (-106.16438355679614) 0x36F94220C57E34b6b3a294523De1977602Aa625c/622 2900000 0xe4b029169b445f61434eca5894d439b393320f6045b22ffba831e05495eea938
3.343 134.100300004 (106.16454423394643) 0xe7d97A788E6a0a0B4F27bEBEfBD0F95623e98E2F/261 2000000 0x1c55b939dd8defd555030ce59abe032ce5916d49bd1769f24b36b8fb45bdd33e
3.535 134.100300004 (0.0) 0x042EABCc257ff6df43dB036Fd6Ef2FF5Dbae1512/9 2000000 0x33717aa9236925e482a5fb9a62a4166ab24eecc48442ace3a6f5ce3f98388685
4.641 235.500300000 (54.87004079262999) 0x042EABCc257ff6df43dB036Fd6Ef2FF5Dbae1512/9 2000000 0x44f5574835756f7ebfbe0e65f110ab8cc41da1d2c48e4dfbde9eaffa50165409
4.829 235.500300000 (0.0) 0xe7d97A788E6a0a0B4F27bEBEfBD0F95623e98E2F/261 2000000 0xdf4dfa20343209906ee9caf69a8fb6515ba6f7bec338c966c49e4cf76fd818e2
5.018 233.750000000 (-0.7459984575396116) 0xcEeE0C8FECF3997C0846f6bf214CF9e4A38eABA9/10 750000 0xf083a9dd9d0f145c13cf59925cf6b24ca42042dea88202e0cd6c3121274b9f3c
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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.