× 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 #1578 - 2018-11-26 08:17:31 to 08:17:35; Start Time 1543220251.776981

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 134.000000000 () 0xd6cB6744B7f2Da784c5aFd6B023D957188522198/37852 121000 0x68443358529aea6defb1f87aee12a618e9e438f56532141d7d3020b980c1ebc6
0.854 11.000000000 (-169.6551724137931) 0xC81064916D8c164BDC747C06b47Bc8D3Bd133152/265 500000 0x67f316ac59029cbcca7788cb5654b0e2bf4cbbc57d26908eacf686262e34450f
1.293 12.429999999 (12.206572761937966) 0x2152d20E8E66E65aaF336B7b53E04433F0967939/361 500000 0xeb744b812ce85d09cef0a20f5b3411bb35f9ba3f11216279f1f2c83bc1e8981c
1.350 10.000000000 (-21.66740971117554) 0x8bC3da587DeF887B5C822105729ee1D6aF05A5ca/221635 104866 0x3329680bd545fd2bfdc3259c8e62f43ba413f3fb66ac746e5476935663f15b6e
1.597 38.139974464 (116.90897129595952) 0xC81064916D8c164BDC747C06b47Bc8D3Bd133152/265 500000 0xdc4493c1231ff33d89578016235f3da45d93e2276d30c77824b78a288ada838b
1.879 12.429999999 (-101.68078880012466) 0xC81064916D8c164BDC747C06b47Bc8D3Bd133152/265 500000 0xa1b2640a4db2b789c02a8bab3018eb2156f34a000251707d8838aecf0ac49802
1.917 38.139974464 (101.68078880012466) 0x2152d20E8E66E65aaF336B7b53E04433F0967939/361 500000 0x1df85dccfa8dce77ef2de833ddcad90a85cd6ac80b76cea37da5f9e83577ff7c
1.990 11.000000000 (-110.45986392965173) 0x2152d20E8E66E65aaF336B7b53E04433F0967939/361 500000 0x5c5528364c4b2791baa2982460ad9adededcade159615b1da981b8c84ca5fde0
2.592 11.000000000 (0.0) 0xEcC996953e976A305ee585A9C7BBbcc85D1C467b/6416 150000 0x635331dd5679e118e67497703d6d885b05e901e30bdfc977f38424327e761fb6
2.963 43.098171144 (118.66638174721362) 0xC81064916D8c164BDC747C06b47Bc8D3Bd133152/265 500000 0x90934bd03ba0b6b34e13cc92f9d4d9dbb4abd52aba2ca5c29f68e714478e2266
3.225 48.700933392 (12.206572768480148) 0xC81064916D8c164BDC747C06b47Bc8D3Bd133152/265 42000 0xcaebcbb4392bdd845b545376628fba0d11d408dc6c8f4286d4d6570b8363cf09
3.324 43.098171144 (-12.206572768480148) 0x2152d20E8E66E65aaF336B7b53E04433F0967939/361 500000 0x45a5e7b8689bd6c0550392186acbd13f015ef51bf7350f07ff16911d3a0bdf77
3.352 48.700933392 (12.206572768480148) 0x2152d20E8E66E65aaF336B7b53E04433F0967939/361 42000 0xb11f34c04cdf56c532dd5290a28ad6aa5a7501418fb9d0e06792498b96305de4
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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.