× 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 #1544 - 2018-11-24 21:51:14 to 21:51:33; Start Time 1543096274.529839

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 9.000000000 () 0xDF4E525428eF1cd68a438f1d0E6A64f9163089F8/1318 37035 0x4189e65d998de15c327ee32453085663863e32174855db647c57de3d6f649d23
0.309 15.400000000 (52.459016393442624) 0x0005ABcBB9533Cf6F9370505ffeF25393E0D2852/51611 340554 0x08f4006269cf9a82adfd5dbdbdb21e541883de57bab7bee40014963bdf6e5a97
2.504 15.400000000 (0.0) 0x0016BD4cb70Bd98CA07A341DA66450b5d22A55aa/56461 225582 0x5da8e3d08d12c27b1db3d97752ff4307b152ac1fe8241c56b41a45311bf8e762
2.534 9.000300000 (-52.45591242730622) 0xe7d97A788E6a0a0B4F27bEBEfBD0F95623e98E2F/370 2000000 0x198a2baca0c4e863d68c80ea9c177d62254c081ce100d701527e2b7a30107074
4.035 15.400000000 (52.45591242730622) 0x0016BD4cb70Bd98CA07A341DA66450b5d22A55aa/56462 196465 0xee92bd43ca2de392c9e7d1c41b39040ce94b91da6acf9d6f1a5dce108e766b4b
4.286 15.400000000 (0.0) 0x0016BD4cb70Bd98CA07A341DA66450b5d22A55aa/56463 341240 0xba0d73a1529e70e3c393e32332ce71a871f9aa1e8e3aae65f11c28e827f5d8b3
4.643 9.000300008 (-52.4559123445348) 0xb314371A82BD900fd70B83902665B2af93dc3294/6 2000000 0x31c0c758a43f315d78d3a4e2e6d01316e7b361ac3b1524f0154311ceef314fab
4.964 15.400000000 (52.4559123445348) 0x0005ABcBB9533Cf6F9370505ffeF25393E0D2852/51612 342366 0x73ddf0589a3a152e1447b96f4bcad3a72413c4f075e68763d9e979ed9367e76c
5.090 6.000000000 (-87.85046728971963) 0x00dEe1F836998bcc736022f314dF906588d44808/2822 1600000 0x2f4fca8176a18f1542ab56b439722fa899db9345362da98fbbe7c5d53436b511
5.462 6.000000000 (0.0) 0x3bd189a9b1c11684b08f6464866dFa431362A06e/2872 1101001 0x10fa593220d52339850fcef6128e19548d3347de24c5dd12be389dfd296a6bb0
6.749 9.000300001 (40.00319994666752) 0xc6BaBC7cA94443E0533C6c628c6b3efA606F2dd8/596 2000000 0xd84c5f79578a1a674daf9d1ec33ac4b9d2ab227ef09457f2f224c377ca8b7305
6.839 10.125427503 (11.765591680260929) 0xe7d97A788E6a0a0B4F27bEBEfBD0F95623e98E2F/370 2000000 0xade263efeb80eb649f75c7ffdeb6d915cd72cddda74bf26fa0d00feadcebe959
8.766 10.125427511 (7.900900968842421e-08) 0xb314371A82BD900fd70B83902665B2af93dc3294/6 2000000 0xcdd9d0496501e384274a7832c7c21b1cd14643351117422c8df6e68a3b14d631
9.465 9.000600001 (-11.762270124250986) 0x042EABCc257ff6df43dB036Fd6Ef2FF5Dbae1512/101 2000000 0xcc93915522c86e92f7dea18ed8a9478feb1dbc41822b61a24ca5d918743bb15c
12.445 9.000600009 (8.888296330862223e-08) 0xdd04150E2c581E4A6E559137fdab118B72Dc330c/102 2000000 0x41da6c5feab0d8d857d3d5e2eb3c25a503f134f913f57c0a27709059b791dbf5
12.447 9.000000008 (-0.0066664555562964715) 0xb314371A82BD900fd70B83902665B2af93dc3294/7 2000000 0x89b8ed86ca26e5999896c2d4d464324d5fcaa40d7a2c6bf5d033a46a98ef881f
12.809 533.250300000 (193.36099951784834) 0x042EABCc257ff6df43dB036Fd6Ef2FF5Dbae1512/101 2000000 0x57e27d513278a4bd8154f0a49d33ba9c92e5bc14b337d499beec8309b578cb3a
14.883 599.911920003 (11.765591691333217) 0x042EABCc257ff6df43dB036Fd6Ef2FF5Dbae1512/101 2000000 0xf0c4388827216da5fe046d575063a599df5c5b39e3796fde1d8c7c685a8fb6a5
15.466 533.250300001 (-11.765591691146337) 0xc6BaBC7cA94443E0533C6c628c6b3efA606F2dd8/597 2000000 0x4afa4a6e33917e71697e889a9149328590799a8cfc7be926f90674d661ded650
16.294 599.911920011 (11.765591692475251) 0xdd04150E2c581E4A6E559137fdab118B72Dc330c/102 2000000 0xc6e4a809a3241adb5aefd0961b6d398ec7cb7ac0eb3a8fd5e8eeb0b31c666778
19.185 599.911920004 (-1.1668379584643837e-09) 0xc6BaBC7cA94443E0533C6c628c6b3efA606F2dd8/597 2000000 0x223e0b1a8a2698b361be9ad872cca49ee6c5f7ae37b217c86db3d05bea35b087
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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.