× 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 #499 - 2018-09-14 23:44:45 to 23:44:51; Start Time 1536968685.6060455

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 5.750000001 () 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 324056 0x60a4dc66781c5117bd09e5bc183f724f35fb4415f55f0a95ade92d4366f084cc
1.081 40.000000001 (149.7267759497387) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0xaab27e1fb89e5456748942ef9a00ef28dfbc8d6dcf9aff3609875db9ee48ecf2
1.554 40.000000002 (2.4999999999062503e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 324056 0xdfb2133c0158a6a279b6b7a6bf806dd0395dffe3276b0a8d0d2be15f8b4e7a66
1.939 48.400000003 (19.004524888065355) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0xbe14513f00741640d4a87f58a5aa9788b1d17c6d550b13f9a51f593752dde0b0
2.300 48.400000004 (2.0661157023299293e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 324056 0x6fc369c3b8e7abffb9b4c221616b327d91af66824b7d51f2edf2f7f661208cd7
2.710 58.564000005 (19.004524887148566) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0x9c27b4a6ffe0fa0be5ff4b63a32b85e5cc790f83f0505bcb152f6bfc37a9c9c6
3.092 58.564000006 (1.7075336382523147e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 324056 0x8f25555ab5776de9b12171827e0e7afa84999657c39fb0488525eca316c9a9fc
3.509 70.862440007 (19.004524886514233) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0x32fc218129079657c068df29cb2064e8166b53bb592036c124776a474c866907
3.984 70.862440008 (1.4111848249850853e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 324056 0x4bee18d4bd8d0386c1191c1973322e17ce158e5a3d8df3d088adebc552ee496d
4.320 85.743552409 (19.004524886091925) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0x55bd202be4020392c8762938d984d884f82d66e2044dad4cac56c98387c80013
4.756 85.743552410 (1.1662684503951163e-09) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 324056 0x405ff52d32da9e0cde0ccb250790d99881971bef5fc341847336c493270ad695
5.093 103.749698416 (19.004524886782313) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0x35da5c9a3310c4011ccce764ce41b43e4906251774e3a979d1fe5a215817a876 6332964 6332964 / 1
5.093 103.749698416 (19.004524886782313) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0x35da5c9a3310c4011ccce764ce41b43e4906251774e3a979d1fe5a215817a876 6332964 6332964 / 1
5.429 103.749698417 (9.638582234577016e-10) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 324056 0x78bdbc69d51bca296c0950f7f4b629a82b9aa992f442fc003c93979c151a3672
5.777 114.124668258 (9.523809523197551) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/12661 391015 0x41833b477a59bb694df43dfabe11b4040d3168414e124b5c45d9a4deff7ee663
6.183 119.312153179 (4.4444444445967575) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/5454 22000 0x05b01e125bdce5510a4af63811061d6a60c07a7a761951e4bc37f9a39b09e1e4
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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.