× 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 #883 - 2018-10-10 06:56:19 to 06:56:31; Start Time 1539154579.130845

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 25.000000000 () 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/981 300000 0xd246511064153c6491cff5a0204b3aa9b07bbd99612528602a402dc114684025
2.631 7.000000000 (-112.5) 0xDad9b469E4b6F6CFf559Ad64a24126F0a826c7A1/2625 456669 0xf162cb1e3a717cde8595b444fa3186b4f6bab2057a1b5ca8a8e6c2d5c0f6ac2c
3.371 50.000000000 (150.87719298245614) 0x274F3c32C90517975e29Dfc209a23f315c1e5Fc7/89139 57876 0xc8248299254a7a5872099acbf864e835678ded9cf1145126d96e35dc52ac7260
4.042 6.000000000 (-157.14285714285714) 0x6f724817dC73BF14b7077F8C3a73d5624313a6DB/6652 130205 0x6798737cce46f9322c0b1e83a313f5276fbfbd0894ea9e2ff7797974a2e340eb
4.343 35.000000001 (141.46341463557405) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/981 300000 0x3e60ce7e6e7e2e7a2ab60a549b098d4a833278dac667c61623d1f6b377ca1d2f
4.765 6.000000001 (-141.46341462724567) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6778 359807 0x854e2b6eb517702c150cb8d6581af24672efdbf052293f71bbdfb55858c8a07b
5.960 6.000000001 (0.0) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19801 359359 0xdf7817e16e36c247ecb7a023a24b2f51b53f0dcfc15cb073eb1966072e89e887
5.963 6.000000001 (0.0) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17862 359423 0xb9f83a66c4f69d92a091d933298d621ad5c1c3954c82aeccf5943ee9fab77384
6.266 6.000000001 (0.0) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7668 359167 0x51579e72247203f0d3951de117ed980f15034913a7b3f9f8504e243b544c5bce
8.499 35.000000002 (141.4634146286734) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17862 359423 0x6a34432ef41c5aeba7aa8b642126fc9087147d3b9a42cea95815dbc50c75414c
8.966 35.000000001 (-2.857142857020408e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6778 22000 0x7634cf9b5b4d8fc50f4e315b08df9ffbd3c5a7c27774d6b1938aa36b52a6ece9
8.968 35.000000001 (0.0) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7668 359167 0xb9808ba58ed7b2d02beafa970e5bcc70040fbbb337cc09096889ca0f0de4b80b
9.663 35.000000002 (2.857142857020408e-09) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19801 359359 0x4e75dade9b28ce2c98ebdda978c89e4d1a50c9c6ecf03beca8be21051a6fbbb9
9.711 785.813710266 (182.94375468432548) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19801 22000 0x3e6d1a343eff0bf77d6da45fcb4e5ce9934106cb102734b032b5b19e07d745d3
9.926 785.813710266 (0.0) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17862 22000 0xb16b182fee67b43cbf57cec21475e2788a51781a1374a7cbe1ea3689b2dc6bdb
10.015 785.813710266 (0.0) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7668 22000 0x4bb7816b4cdc9ad8cb7e810351d5fe7e4cc670f84a5c92f03a1d1b2b7fa18c20
10.201 40.250000001 (-180.50997786212378) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6778 22000 0x1c4d6ddc55390aa4d5078709fdae7ff2e68f2e0d3c7c9368450cf71e093cf0f0
12.647 8.100000000 (-132.98862461358866) 0xc951D3463EbBa4e9Ec8dDfe1f42bc5895C46eC8f/7740 147441 0xd9dae58cd0cb9dc0c3f04196f8bbc8367283f3f267587d3a01d01d1cc21583c1
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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.