× 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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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 #814 - 2018-10-10 07:20:56 to 07:21:02; Start Time 1539156056.8049324

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 21.841000000 () 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 176829 0x06eaba1b3e258f324acf7bca4d4be125bca3fd8d31e7617aa2b532b98018542e
0.247 21.841000001 (4.578544938313755e-09) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0xec74ad7b1ace263c0409e01a6383ab3d4a7605d3a5a62d5a45ef0e7a7327217b
0.318 24.680330000 (12.206572765391561) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0x93a4fb44ed94b506df1a7030de924215f80d7081bf22dc555efb6e55b3a6265b
0.319 21.841000001 (-12.206572765391561) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x6082f6b14d5cce68727e2872466284be0ad9d00d903893c44dc3e7de8dfda3cf
0.446 6.000000001 (-113.79619984096863) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0x309bff729ee2cd394e76491e6cb55e91818d4b719679ce37ef0843f734575607
0.490 21.841000002 (113.79619984406493) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0x7e0ab71fc50e431f9c50bed798f7353897ae691a8b59874ed6bad1d9d726c29a
0.514 27.888772900 (24.32254380054398) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0xd9fd177f8b3c5cbe56477cfee55aa5a726e047db07a004a732b08cc614150288
0.530 27.148363002 (-2.6905829522756624) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0xfaa56536cf44a581242a17bd20c44cb6083d49c9002f4074ab85752ae580c41e
0.565 25.117150002 (-7.772670287746135) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0xf302ecb0c817427895459ae1289e15eb2862c6d83fa0c2c5e01a77a50c69ed41
0.626 32.849519234 (26.678673568492144) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0xfa8315d9d0e28e936dbdaa0729410df74632c1e3f39fbd2112db1aa1208df9ca
0.638 32.915218272 (0.1998001983783665) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0xd539dc27d010b8b1a4ddc664b3ac08ac683f127567bb1272fa6ee0afedea6234
0.787 39.747918274 (18.806509949304218) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x7263d317cc5a37a8a2c518a3d327981d5adaafae6e5cfed0acfafb86a086ca06
0.798 39.827414110 (0.1998001984242645) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0x5b9100f27b9f2ed65f4517c68777aabaa68663d37a8628372dbcb40ebfc37e60
0.866 28.884722502 (-31.850826207866607) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0x1336e909ec066bd7e803d277cbcdd0b012892362130481a8eb158ace4ed7129f
0.917 33.217430877 (13.953488371194279) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0xec471e0ffa7777b715929a8406836b94dbadaf7989763a7da7d799b44fb0b102
0.968 48.094981113 (36.59355287069747) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0xcbc3701ef4cd92d04809ca52d7d82dccd6ca934dcf8dbc0bf46edbcac01831d0
0.982 48.191171075 (0.1998001993312347) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0xe693cdf4dc3519e9e2c5a77a77f317c89d64c3d277ab1755cf2d27192db57b1e
1.157 58.194927148 (18.806509948378295) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x8b1413c7942890cf85478080adf2228024b7f767986305dc1f5f35390524d254
1.169 58.311317002 (0.19980019929258017) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0x2e447246fc0aecb79ad7938992200db1d5483c311fbfaf7335eb8fe79063f6ca
1.301 70.556693573 (19.00452488769244) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0x487c467d90b0f9ac7ae683ed4c3ac9b128296b55fd83fe150310821cc8c9f899
1.313 39.747918275 (-55.861264151773746) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0x320d3f1ab93140f5afa5d93ab8ad56b85bbc0186edc6dea72d47c9d542c81619
1.353 70.415861850 (55.676999355326906) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x93bbf97b45f52b55a1eedec2e6b7ef1063c094f7979876b98eab750042b087b9
1.414 48.191171076 (-37.47617696138843) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0xc11e9ee5ee49dd1fca9f4cf2dbb76f0f9650e7c3ba8381e8735da2d0078c0ff8
1.454 85.373599225 (55.67699935425504) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0xdba049165ffa4004861919837fb1a0120ccec51539a09a67f6931691de7d1c49
1.464 85.203192840 (-0.19980019900370144) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0xe264627b67b504ad537c504e1bad3b2e760769827e818d1a615ad59b69c61f55
1.593 103.095863338 (19.00452488841577) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x0dbf895fdd3c53fe753a456bac03aef1f73405aca3c9f5658eaacb0a09512a99
1.609 103.302055064 (0.1998001991458088) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0x13c662d9feeb2e0022fe1c2f47862f413915666b11d2a30fa103b04f16b940ed
1.619 58.194927149 (-55.861264151063516) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/19887 345063 0x1175b83d3278054f3e7e47b8ac536a562df6543c02207ccbca18f0a787a1bf48
1.780 124.745994640 (72.75689533013124) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x38fa00ec14db666d8a7d1bd3db18b9df940e4c697c99f585befda5703785ee8c
1.791 124.995486629 (0.1998001995761919) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0xad85c222debadcd5d01e12f454d908c50087717cdf53f888db3561647a6f0952
1.948 141.244899890 (12.20657276940993) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0xd5b0d319fca5087f9aa7b93032717a836b2bb40491cfca6e8325afd89eb9b48a
2.173 6.000000001 (-183.70062391175088) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/6792 359487 0x0f5215494b480fc77b9573ba89a0c25d84096a69dea8515bf98800dd036d0211
2.313 137.220594105 (183.24263339793353) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0xd944af6e1b3e9680beb0677ec68c2e22a1e189ce2f8d2b8ed944f5372867af0c
2.518 124.995486630 (-9.3244529021505) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0xd752edbd3f5887f43436b8dd472985bd6593818a404ab7b95d6e9d7c2af06509
2.552 6.000000001 (-181.67875808453968) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/19810 359551 0xff6123b5d357605076de2e0d7c43865aafb6b98a91cc9840e3802d69ab8f937b
2.920 159.606736875 (185.50783593908363) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/939 207223 0x2f38c58aaf7d249924e4721b8fbc5b2ec2cdd9e4145cbea63a03101877eb9ed4 6487562 6487562 / 2
3.158 6.000000001 (-185.50783593908363) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/17871 359423 0x9b546947be1696ac3339936afbc30869360ec031699c4b414b264ca51584c220
3.293 6.000000001 (0.0) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/7677 344359 0xe2c42253857294921f76dd5a8da67ee472fc72879dfedc3e619a912692d0c1e6
3.324 13.574752771 (77.39308749620616) 0xaDA1ED8Dea59b7B082937460C0863AbFFbB0484F/12883 211696 0x326fd017fe3a388e2d254c3330fdc876e520689458a944410b928c203a6de473
3.625 141.244899891 (164.92757208121066) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x4c901b362cc0b3098c7959ca2ebdb3d831bc2f282d2a5f88b7002a035d897329
5.122 32.849519234 (-124.52481957985337) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13114 347815 0x9fc367d639830a40a3e441bad62da2ea19dc638f7ddd1a0e7b86dd55b3b5556b
5.565 25.804207678 (-24.023406275854555) 0xaDA1ED8Dea59b7B082937460C0863AbFFbB0484F/12883 211696 0x288ad3ced1c6112c05712dca451710d8e91433ce30495f4720324062fdea43be
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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.