× 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 #1001 - 2018-10-23 08:03:31 to 08:03:38; Start Time 1540281811.2987447

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 13.604345694 () 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 191829 0x8bd64f231908648460bcfa69f81fc774550223885ee92a1afb6087fd071362ad
0.335 13.604345695 (7.350592394930706e-09) 0xF3A3fD06A875A09d7Cd5fd18FDBE22493fC86aBD/7934 412815 0x8147c13e57783b6fca91eee5f05a79dd7a12f5fd32b4bebcf10c00051ac7a832
0.426 13.604345696 (7.350592394390394e-09) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/13394 250000 0x70f7991c8bfabf6b2889bb47343a007cacce8e9257637229db49a520d54eceb3
0.467 15.372910634 (12.20657275388087) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x886a6acc8a12f2cc87ba34381618552c1d4b122d9872b64373c2ba36f380f5ac
0.980 8.000000001 (-63.089366558903116) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25457 359425 0x9bd33a54cb64d439761fb8b1bbe3b333bd0aa4b53a8e7ca978f45522f1d73c2a
2.287 17.371389016 (73.87367722532446) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x9183860b0be0c9844ba8a5c8b3e5edacf8f9833418313b52c09e7de8e2eb6c06
2.289 15.372910635 (-12.20657276106357) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25457 359425 0xa098e89df267287148de659e1f995fff594b8cebe389547dc9482ef4d0614c0a
2.497 19.629669588 (24.322543800373364) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x935956f37879880d2aa457537e93116919af5782d643fbe8ad766e7e655c17f1
2.514 17.678847230 (-10.45778564458397) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25457 359425 0x98c190e64901dcf228c54cccfda14aec6211389be9e3faba6ff6eabbb39d5e53
2.690 22.181526634 (22.59225876487128) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x5759063d35a61ba5e990d2527a557345035ac062b3be31534539f3bca4d2383b
2.862 20.330674314 (-8.707393542215904) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25457 359425 0xd3aa6d1a0729b1c41256cbb11ac4528b8e59b38181dffa5934099a981837c692
3.031 25.065125096 (20.858541290307457) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x177918c6f2e25749f400cb5a657e5a533ebf6e6f1df2d5bb97379a3f0ad476ee
3.107 25.000000000 (-0.2601615231166305) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x01c7bcdca93a40e646c007aab62721e606a5edc75cea5903aa8680535552a2ba
3.252 28.807500000 (14.152302188356641) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0xdeeeff86dc5cce66fdd556606248d7f68b4f81ff131b9776647e790783fd3c60
3.398 28.750000000 (-0.1998001998001998) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0xae6e1a9962761207ebb21327708b7aaf851aa0c341c15907fadf3e58cb98d0b5
3.405 26.887316780 (-6.695805361589906) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25457 359425 0x61dcbac33247f4f0f0e6de3caf8f9d8110aef0e4f6466a9959d30541643852fa
3.452 33.128625000 (20.798834559253333) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0xb3856611e41eba1f83c228a5feb5714515475654f6c0f0ccc8ac35a8ad1456af
3.491 23.380275461 (-34.50199688712007) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/25457 359425 0x2ec1f9e71d60ef83c1b6bd45329cd015e7be60c35cce6825b9103072668653b6
3.598 33.062500000 (34.30810926613657) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x03e2a3d701102d1a7f9b56256cde51bd681a022d437950ce391bed67d67b3a7b
3.649 38.097918750 (14.152302188356641) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x5b50866a066880a28741d051ecda88fbcee0d3bd90dbaeb27329880177228f32
3.815 38.021875000 (-0.1998001998001998) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x8bfb4a8de4026dcbd25770d4771916624ccd321f990085d0ae5300a8a3e48fb8
3.872 43.812606562 (14.152302187221133) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x1463ba481234c07171e05046cd5ec30f92a085d15909c1bab549022422bf7b32
3.930 43.725156250 (-0.19980019865897689) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x547df4555c886cce6b29c70590c6af1d1971a67026905c39dfb68ff43fa9375e
4.111 50.384497547 (14.15230218860349) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x857487f38f42acd849a454fdde9f496102780c89ab0877fa8c916b95c4b18078
4.165 50.283929688 (-0.19980019905393923) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x19065a47e3041d6a6789b3d4e2655dcf4fc08d51275e6c037ea6103477b36b00
4.400 57.826519142 (13.953488373469739) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x599a7f781e9ccdf22cba94ea7fb406d77c2730d4b5ef30008015ca4325c5d18a
4.438 57.942172180 (0.1998001993100564) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x29343cd51b22c60355b8cbca25435a2560494be9557a791460cf256021e083c1 6567500 6567500 / 0
4.634 66.633498008 (13.953488373586465) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x87736b743f8b9f9906cc38e8db57dacd7b38c627736fbfd50b75350ddcdfa60e
4.650 66.500497014 (-0.19980019975817895) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0xbdfab3cf8a801606167ab7a65cd16871715f7d084e9196a784230ae0a81e033b
4.840 76.628522710 (14.152302189353602) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0xacb498fc65b23eb0ecdd8a2a824d05d056e54e9c81156f977b8c335d3eeaf7b0
4.868 76.475571567 (-0.19980019962533035) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0xbb8c20587ec39691ad85e4d9630bc2e6f4e77e827a9c8f927826fccaf50ba8b3
5.041 88.122801117 (14.152302188747196) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x4a11428e57cae180f5e453e60c95e8733363641267c0c65428df0aec702312e5
5.202 87.946907303 (-0.19980019911252375) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x32837495cad59243c02d106d78da37c8b73fc7bbcc8f25fcc9d297c98cbff431
5.757 101.341221285 (14.15230218811423) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x9b259d0c509cb91b9ae9460c756449c00ab5d84cef09d7665823eac49db8ee70
5.970 134.023765151 (27.77179763302387) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x185a3d180845135f88a91f4e5b20f8529f888acf2863e8af91187c150cd12ba9
6.002 154.127329924 (13.953488372319004) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0xf099427c5f0360ce40bcd6e6b4408385071c752a3e67182e97304569910b1d85
6.280 116.542404478 (-27.7717976330362) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x89e3da036f60e4be98a348de25962d160c8a45cdebde1424df6996ca0564a9c0
6.480 177.246429413 (41.324936779266494) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x02ea623e179801991ff8101bf3f12e34b6355582ee798495e5b125a89391b68f
6.484 176.892644125 (-0.19980019965915338) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x2eaecdc414691faf105e99ea1e25f7032df3a9803dc9a32b42a5c4e7d7985c4b
6.602 101.138943399 (-54.49287356204508) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x950229cd5f0c072e1331acb800cd0fbf2d3dcc54c126048e50c37fec3ff75647
6.878 116.309784909 (13.953488372221361) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x837d74eb25cf0d06d01f5db499ac7a2ed7dcb5750839056e07b1f3ca9e091723
7.019 203.833393825 (54.67779089475554) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x977519a3739e342d2435793d464cf7940f42062f7f76d1545eebed73dcea318d
7.055 133.756252646 (-41.51616728270714) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x949bd00fcd3740f25d66f60693c81859468a4166a956244db5fb4575b93d8f90
7.147 234.408402899 (54.67779089440457) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0xdb8550827f2dc9b86d59d7f82e7c727a146bb692ffa70553ba27b169f720acac
7.206 269.569663335 (13.953488372517553) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/1239 227342 0x895f6814e5ec744fd0b126ac2153361a225cd64f5294fabdf625f6560bd84034
7.227 153.819690543 (-54.677790894739154) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0xf1341358044a25a14724693b84b3f3e3b6357bbf3339f24aef307f22c1d0c1f8
7.430 269.031600135 (54.49287356189414) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0xaa4166c07643c9925c8e3cee5ebe325f69baf22bead69af7d6bf80aee9ef5b6a
7.476 203.426540744 (-27.771797632248624) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x70de88041a7c2ae932308822619e3c06246cd9af3a9b61b9bb1edc9cb4f19ec8
7.546 233.940521856 (13.953488372263175) 0xb8D76f4BC2518F8eb508bf0Ccca76f8F9DD57a3f/1241 300000 0x52ef829dc1dc1989c629ffd6ecd69e6e954f7d47d869fda282a4b12352ff0a84
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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.