× 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.
*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 #1536 - 2019-02-22 03:31:01 to 03:32:11; Start Time 1550806261.744336

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 134.000000000 () 0xa8660c8ffD6D578F657B72c0c811284aef0B735e/70098 121000 0x28648e1b3002081e2a08f91aebb3210e4ee82cf58625afb27758dcf3d691f0b9
2.412 9.000000000 (-174.82517482517483) 0x8bC3da587DeF887B5C822105729ee1D6aF05A5ca/314433 104802 0xccf98c53f164d962b917c777f316d4df5f2e492feafe80b16f8ec3a4eb1f9890
2.748 9.000000002 (2.2222222219753086e-08) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/49535 348235 0x0876fa9847a20cde68ccee8929a56fc5cca69843639f3a36cdd4136e82e8bf5a
69.475 16.435783000 (58.46710515980836) 0x8bC3da587DeF887B5C822105729ee1D6aF05A5ca/314433 104802 0xe9892134b351afa59c0705e353e2367e2b44363b4a87cf27fb348c6cab774b3e
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This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. .
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.