× 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 #1626 - 2018-11-28 04:48:13 to 04:48:15; Start Time 1543380493.472027

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 110.000000000 () 0x699D53Cd35d253faEe82985019F54bC259860eAE/1177 70000 0x08702582fd18972e05403dd06dcc11ed36f2de4f73ff0c96dcebe2060cd41097
1.196 6.000000000 (-179.31034482758622) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/10973 1150000 0xadd0223e47763db0864a66e57056e24c76570fe4cb0034ec4f0bcf2f77ce482c
1.517 6.899999999 (13.953488357670812) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/33088 22000 0x919b505f6bb8df3dae55cb2208b356165d33e97b6625624fd728cc142221ed30
1.789 6.000000000 (-13.953488357670812) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/10973 1150000 0x52299993be3469dd6d99497e7121001d29c8bf1ba32971681be0b4807cb1bbdf
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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.