× 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 #1314 - 2018-11-02 07:33:02 to 07:33:17; Start Time 1541143982.801335

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 6.373093275 () 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 191829 0x2cc075cd320d48cafb3aed231e7a561f8e192d561d026f9ccaae07a57ccb1403
0.319 13.600000001 (72.36642443045085) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13536 250000 0x1e5b19f95e093d7047aaa7bace4830ac7257d07c723edd4b278a0295eb3d96a8
0.397 13.600000000 (-7.35294117620026e-09) 0xF3A3fD06A875A09d7Cd5fd18FDBE22493fC86aBD/8108 427815 0xff500fb58e51310b8ed0e0e3ca66f93d9b8104f6c4c705573a464228b26a30a6
0.470 13.627200001 (0.19980020713845711) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xc704b1de5bbcf94a0ac7d3c6bb2fa16c175fb1f56ac98817c03f0c52801fd18d
0.890 25.050000000 (59.06735750625517) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xba679dff1014a05f69dd9dedfd880e09ec464cb127afca5af97aabef85cb4127
0.934 25.000000000 (-0.1998001998001998) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x3d7c2fc9cb96ece93fb6f0b2b3bb61f4ec691129e5c335830d8cf9756980c7ab
1.075 28.807500000 (14.152302188356641) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xe785c465fde1af5de34c715cb8d3536629ffe41864aa0ba4e9f82182c2c0c026
1.187 50.000000000 (53.78295213019065) 0x274F3c32C90517975e29Dfc209a23f315c1e5Fc7/106404 60681 0x882321dee1f685d8d4f5ea38168efc8f7932b541a7e254cb0037106ac0f99c75
1.191 28.750000000 (-53.96825396825397) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x305ba75c1f69e53a559ce6827dfb751fc37a73f32f5fdb7bfa3374210ee07f80
1.204 33.128625000 (14.152302188356641) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0x62c14f061f93ac8d7630a72804a63de3c871268d59a38242659cecafd36bebd4
1.498 38.097918750 (13.953488372093023) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0x6b45ecd7aaf3c6baafb132d5651fffbae2e2349f51cc38fc6af9024684a97d98
1.509 33.062500000 (-14.152302188356641) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x06e7ddb8637fcf66132f625c8b30b3e7a075f6b9fc4f5b67bb82528e642e18a0
1.702 43.812606562 (27.967718141190495) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0x90cbe721aad259092400ff071c47b0dd7f86f5cb6a9a33a0fe514cc4de37e13a
1.711 38.021875000 (-14.152302187221133) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0xa7dbb2e8fc596632214d090d34b9a1b7959d763c1e69df7e20a68cc6e4d94535
1.812 43.725156250 (13.953488372093023) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x7ecc23ca0af28b2e0651779ea4ab643821f710b1a7f73e2ab58f6e736e799460
1.947 50.384497547 (14.15230218860349) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xb0247f7a6e1c20f4ad35f49fa953ff8736dbefab62dc9093f3c3534418adea39 6628392 6628392 / 214
2.030 50.283929688 (-0.19980019905393923) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x32e181eb68b9c626f31b4566fdcb35a70155b45f59c2519a6557f6b3927a9a5f
2.162 57.942172180 (14.152302189245471) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xa366e63a24c857624b5ad20d85798983a1ce0a8670ede00e16786f74fd7682c5
2.235 57.826519142 (-0.1998001993100564) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x2cf5e4ad39838917a4e50cdc639e629066e821e30874ab76508471b942085aae
2.372 66.633498008 (14.152302189362183) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0x155cb33837c007598183500b9b3116c1b3bd64ec8b4bc2a0c9c9335cee5dad58
2.473 66.500497014 (-0.19980019975817895) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x393c87cceeacbd649dd288be914ab4d3962788874754fd1a9d7ad7c2d1a9c17a
2.647 76.628522710 (14.152302189353602) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xe44d7ae925c05a3199e10801f6513f0f0975de8a2c4e08487106da63efe06172
2.732 76.475571567 (-0.19980019962533035) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x7b3800b433db4006baf1b0744ff7ec3f4259023877107875ebcc035d00e2c48d
2.959 88.122801117 (14.152302188747196) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0x2c96d3ecc707aa993ebb87c547845dac863752f86c7e9999a85be92d9b90214c
3.032 87.946907303 (-0.19980019911252375) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x5c07c3d4e7c2a28b784ae8a1dbb2c51251485522d995462931a1dd8d1b5ef0c4
3.162 101.341221285 (14.15230218811423) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0x305d564810f6c72abad2253b5b5cb3ded8243970168cbb6041d744a29f79c880
3.249 101.138943399 (-0.1998001990127619) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0xf32b94cf5aa420c5dd548895334ec2717aa70cfc57d0ca4f984a5a8cc4b12a6b
3.381 116.542404478 (14.152302187786587) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xe52e0faa88a1f8abb63035c972c91861589a8869e0c457924686502572520abc
3.456 12.000000001 (-162.6582370241551) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/27432 359809 0x4110b9e7ad659c3db6f20c4e03032b7a935d9e6e9b73cb9f459af49072018ffe
3.470 116.309784909 (162.59053817472414) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x3feef3fa2da09ae5c850770ca6d5cd5f83310f99d9cc83e90d83a1716cbd09e6
3.578 13.800000001 (-157.57429001809268) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/27432 22000 0x6c37411b2b25b581936cd1cc77fcc957f65c620d8b8fad7d14e503aad24e6a22
3.593 134.023765151 (162.6582370248515) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0x9026dba75decbcfc6240272bf94a3cb81bc7a8520150c52c30d920871daafb54
3.676 133.756252646 (-0.1998001995823282) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0xfe502b194ea328046812916976ce5fd5e20849d4ff1f1dec123aedc0fed44d98
3.747 154.127329924 (14.152302188365809) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1339 227342 0xd9f55e99d3c0eb024fea333649dec23940eb5425d627f6d8a80a3f0581f7c74d
3.944 12.000000001 (-171.10650004086014) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/9170 359745 0xaaafd63c2afaa36843da0f8191e912ed208157ca76a5f0aec4af6408eeb792b3
4.041 153.819690543 (171.05289495684877) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0xc0af0e4aadbbea2028847ddff7edb0047f3e6c61963806603c3f6a23e8b1df4c
4.169 176.892644125 (13.953488372402434) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1385 230900 0x1634cfb0ffb8587e8f9002752e2dbbc202b0cc1fa44b4854ff71d77e6a36db3e
4.611 13.800000001 (-171.05289495722414) 0x5a289646BFb958c3158A33b1e4b8a8c254B3B5AA/9170 22000 0xa8113bfa392182926269ec17c8a2f5f611e1bbe0907f6bf2edf856e6586fe043
4.616 12.000000001 (-13.953488371011357) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/20947 359617 0x88eaa94d1b8edaf4cd2fd95fc4fee87ef31274820d2971539798fb5ca367d03a
4.681 13.800000001 (13.953488371011357) 0xC533a4e3350deecaA0bf0fcba92D4a6138013b18/20947 22000 0x45a8d47eab9c4f703a150fa33193bfcf46474beb67ff21e69e931804216e9591
4.692 12.000000001 (-13.953488371011357) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/18656 359617 0x0a0bf86e1392fc650307de9861bdb323e7e9d2deea03d0a7ca26c3499e22f21e
5.409 13.800000001 (13.953488371011357) 0xC9D81352fBdb0294b091e51d774A0652ef776D99/18656 22000 0x04337859d7ddcdfbc1e05e6c676e10e212d51a8bd0717f82422749e23cdccad5
5.425 13.800000001 (0.0) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/8435 22000 0xcc82551f8a55ec145ca9fea61eac3327621942a86eac1ddd5f8df8ae7a0c1870
5.584 12.000000001 (-13.953488371011357) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/8435 359745 0x01096c254c9316296105a2f4f14fc3883a272507532f9d4642fcd9d6ce275057
5.774 24.458666666 (68.34406084453313) 0x682Af04763857057C1dC962711d5Cc06085CE06d/10077 90000 0xbd7d983f6dfa4a0e15508beaa41166f843fb94575fe3e06bbe8b4ba358b8191f
15.090 15.870000001 (-42.593357900562104) 0xA045E11fB1551D7196B5B0526431688EfD49CFEA/8435 22000 0x082755d9e7e075c84627f086f89fb9af7bec9ecb83e78b3370ebc7d5acb8af9f
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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.