× 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 #512 - 2018-09-17 06:39:06 to 06:39:13; Start Time 1537166346.681692

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 231.954486270 () 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12710 376025 0x0f7d579e065159ad1777d6126fca016c5335dac0c28f9ba005bc4c618ad26086
2.295 191.697922538 (-19.004524886459144) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12711 390612 0xe8b383f69289fa8866daf3dcab0b1814f3effa904a0372928444897e5dad0460
2.459 10.000000000 (-180.16836291783622) 0x3bd189a9b1c11684b08f6464866dFa431362A06e/819 1300000 0xba1ff8edb177040239833cca1c55a27d41f26110ea386d9e4bf8dbf7fc03b247
4.901 238.807687002 (183.92332629189286) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12711 390612 0x1e70cb2c2ecf1151fd5dd50c2629d15850d591655566bff6778d2d6bd6c7cb2e
5.737 10.000000000 (-183.92332629189286) 0x3bd189a9b1c11684b08f6464866dFa431362A06e/819 1300000 0xc590ecb0ff2960cb4d3262554705c35b70783c797f45155062ceb1f8bd801019
6.437 288.957301274 (186.6201628695667) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12711 390612 0xe5260a6fac38f2804966f258916749c6e5fffc11a4270d949a9ff5864f4fe413 6346837 6346837 / 0
6.437 288.957301274 (186.6201628695667) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12711 390612 0xe5260a6fac38f2804966f258916749c6e5fffc11a4270d949a9ff5864f4fe413 6346837 6346837 / 0
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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.