× 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 #1037 - 2018-10-26 12:49:34 to 12:49:41; Start Time 1540558174.4848602

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 102.826781611 () 0x0000bAA8F700aF2476492b19e378d61b90454982/271 198892 0x1f4ccd1a24e102b9529de28036a9e7d3d25a162288a2781023e068c6c0ac6b43
0.235 106.939852876 (3.921568627974438) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0x1c8532f429dfc5281d8d9d2419ec695dc5aec7c90442336c8e0000b7e918c633
0.490 106.939852876 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0xb2443cb4ff02b802bbffce6985927ac00a2c8d7b76d82dbec69bb31f0fd67d9d
0.545 117.222531036 (9.174311925623254) 0x0000bAA8F700aF2476492b19e378d61b90454982/271 234055 0x9ab7e35721e6a1a2d6a914f5d23f7c9e30d1b51d6a7bd05aa5c38c60e172ba82
0.623 181.797749889 (43.191196699595565) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0xd1bf6f802d1f40327fe0be3aa959fa21400c9d0f7ef7b6797ba761be359517b2
0.798 182.161345387 (0.199800198824143) 0x0000bAA8F700aF2476492b19e378d61b90454982/271 234055 0x89d87a6acf49b5caf253003a868df8015ddfeb0c58eecfeb16b61a4cd7b1e3e6
0.938 309.056174811 (51.66543301340361) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0x4cb108354aaea9ed1e22eee2f584a74295345a12f426df2e0c783aae203bde54
0.966 309.674287157 (0.19980019863058496) 0x0000bAA8F700aF2476492b19e378d61b90454982/271 234055 0xb7ddc13fd81a56129645710f174f69e6fd32a17f8eb4490442011747d9a1ea97
1.098 181.797749887 (-52.03817415091374) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240401 0xc94beb62baa79cbc458a175cd19543a476dcfeaf5c63abb58c12f68c7b60e44f
1.102 309.056174811 (51.85185185278749) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0x2405252739a44dc6d0ec4e528a72596746949ec5b8743c620f7b7ff950d101c1
1.128 526.446288173 (52.03817415105886) 0x0000bAA8F700aF2476492b19e378d61b90454982/271 234055 0x5c3d50bd2ac45b3f3afd764fac888fb6655b4596f6d793e16dd0c3e97f4b1cd4
1.149 525.395497178 (-0.19980019992252934) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0x8821a1e538a8e024e5bb5fba711e4cae75c8567fa195a1f4cd984c95e41ea3ef
1.165 309.056174807 (-51.851851852934836) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240401 0x072d85bb3bc8d322a572c78ab4ea660d9f7b76c9b27cc484f60fbb0821c20764
1.184 525.395497178 (51.851851852934836) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0x78c7936d1c07927501b3a28c5dc0dd058aa5cdecfb68c40e362afe9747a1e05d
1.242 893.172345202 (51.851851851789185) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0xb52aee8589a3d64b538c4ba2b93e83dd9486ca8fd8001140c805bcd7209656cb
1.305 893.172345190 (-1.3435256996640095e-09) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240401 0xfb3a373bcb2d17599bff12c41386df8934f1224b7c6f8272351ef1b9d798295c
1.359 893.172345202 (1.3435256996640095e-09) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0xbfa48ea21e7d2b2b6015b1163e7fa8a66d09f45982bfa39b4ed62464b4fff739
1.456 525.395497171 (-51.851851853031974) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240401 0xd44ab81b6d394bc469e0c1f36c0fcff2f323710693566b7639b1d2ffaec82efd
1.873 1011.517680941 (63.25955046688716) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0x43225eb6abe89bd434ee77fcee4a2c5859d1a970955652647f74d2bb1097b078
1.875 181.797749889 (-139.0612925326702) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240795 0x4e51ebc81ea55e35b8af84369e18540ddf6f2b073d8af7eb71e0f3af6f68cda1
1.917 1011.517680941 (139.0612925326702) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0x1086347d711c1c7e666a57956ef00c42fc8b343755e4b13bb28b0e79d618ca49
2.001 181.797749889 (-139.0612925326702) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0xe04660bd0542ca839c8b4caa6f15b3c3de415be42aecdd410f62a649ffc88618
2.245 1145.543773665 (145.21447670762814) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0x72903d79ac7c83332f507dee0d80eab85c343ec9b936875991143efdeb14833d
2.330 1145.543773665 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0xc8ef4e5f7af1626b998dd671f3840b0dbb1bf4edb3234ebc3176766b9d161f8a
2.644 1297.328323675 (12.42672919104324) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240680 0x7c3b39d699c8aeecc443481df98e4c0c4800d627b17ec69fd81a79c5608b9f2c 6587055 6587055 / 125
2.660 1297.328323675 (0.0) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240777 0xe0fe84b108b2775ab7712e0c0477eff5b70af35dec939bed437708304a8fbddd
6.049 1145.543773665 (-12.42672919104324) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240795 0xdccf84ed1804f3589d77888ed8e7ed618e867cc78fd01b9da52c0036180d8c0a
6.652 309.056174811 (-115.01273593889468) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4920 240795 0x2c615c800541efc78ec1b8766c8ca5a3ca8ceade9496d3a91ec0e5387b6faffd
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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.