× 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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Global Market Overview

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 #1577 - 2019-03-02 22:31:17 to 22:31:18; Start Time 1551565877.5021489

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 361.317464959 () 0xAa24325B9d108492fB5D8b8583e1705986d70E04/5567 240796 0xb621775ddf6dd348f5136f51886cb64f68820758709566c5ec34e4cb37e7b4e8
0.073 1646.362999298 (128.01295397518032) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/5567 241375 0xa303846a13443f301bd4d49754f5f80056b1e26cafa6e3be9f9a8d3abcc84f35 7292840 7292840 / 0
0.629 904.617776100 (-58.15372897761443) 0x0000F7F39325076881E5fC566E99595542532aE2/16054 240553 0x041f606d535128cf1d0f49b6044de882ef21f76eca86e55a158b3f897e04ae7f
0.757 21.840000000 (-190.57053626688213) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/13463 240891 0x578c6272accc7c33e4fd1a8003978248dce20e04fb8a8f9f2bb4c06bd1b3b238 7292840 7292840 / 20
0.873 903.162973250 (190.5557060326995) 0x0000F7F39325076881E5fC566E99595542532aE2/16054 240839 0x76adecf6c2c7cbc3ff521f2a5803acfd8dc8ea7a464652c196e45f0a107d9a1a
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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.