× 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 #1135 - 2018-10-22 07:06:08 to 07:06:20; Start Time 1540191968.4494843

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 4.000000000 () 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25173 700000 0x6ec2559261929965a69f7a0dc8bb8d7afc34a8d999d514969aa39031339e1098
8.383 150.000000000 (189.6103896103896) 0xd1a70dA0AE4791BcCCeeCc9Aa3a1D997C3E36096/27 50000 0x28cb0b0ae809be308a7d17cbec224073f883ee05ae38063b4f92dadbbe52e12a
11.280 4.600000001 (-188.09831823811064) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25172 22000 0x0d0f4cd0b5e1409b3a92201bff3df1077c06c19cad9065529b591c24c00612d4
12.306 4.600000000 (-2.173913043241966e-08) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25173 22000 0x102ba03cd794cfe814aad10e81ef45d36524017ad84257725af81d268cae2a34
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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.