× 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 #81 - 2018-07-14 03:47:13 to 03:47:18; Start Time 1531540033.0915174

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 62.400000000 () 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240536 0xc4af6519a17855a667b84bafc6a680b227cc235c3a53b7ef85cddc7f1e8ccc5d
0.005 62.400000000 (0.0) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10832 225851 0x3387361bcf077a035fac63e54bd1e78c4fb1833fb7926a1178b34e1c26732d1a
0.014 21.840000001 (-96.296296292779) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11451 387425 0xc28054cc5ba74577c95eeb6ab35cb9c92dfcddbc2bd1daf5bc64dff1cb260250
0.091 21.840000000 (-4.578754578649754e-09) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240536 0x392326150ed329d2a8faf19ad547680591b059ea235926d7a901911e1467789c
0.602 180.336000000 (156.79012345679013) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240609 0xb5172a166c38440747ff80ada8bf75be07ee6429f269560a04bef7026e48248a
0.634 107.615399999 (-50.50894005117013) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10832 225837 0x31cc90032a3d0e5e31aa60013fc1eec86192be170e6c012d6390b85ee0490cab
0.877 21.840000000 (-132.51729939371023) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10832 225851 0x31c2a73db3fdcfc0d371d175b4d867d331512c0941642c4b88e713684cf78b4d
1.597 106.080000000 (131.70731707317074) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240609 0x1dfd53b6d61dce6418d2b17004c0e179405607c64b71d97e7c9d5912077aa0ad
2.407 204.230520000 (63.25955046577215) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240609 0xe6cc50e27bbf0094e8b4f1c41cd3c65427dcd6527f7e78125fa817d20ca008da
2.614 199.469600002 (-2.3586418542438947) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11451 387425 0xa712a4c14769dc753c440dad36ec1cc698bb46eab4661b9400e34c26e9d0e86f
2.796 123.757709998 (-46.84745852941696) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10832 225837 0x1d4de7ad8f6e786e73b45312cc4b50ce0e60f1884c324ced3b46eaaf8384826e 5960562 5960562 / 4
2.965 231.291063900 (60.57384889485221) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240609 0xd8fdf4199a86cdb24d30b47ef312fdb083b90bbef8b7197cd2606f6c019c0e22
4.206 263.798545999 (13.13195892179262) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11451 387425 0x48065f53437884b588a9a40538f6a7ee2ec3c9e170941425c79a1dc41fcf0640
4.220 261.937129866 (-0.708118630122404) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240609 0x9cd4d0b59adb51ab2a523985f9ca87dd5cd99ed8d9c567a447cf3ec85a34f6be
4.358 21.840000000 (-169.21527818635295) 0xbB3a8c227bFBcB0fF70802Dee83246B507C57DcB/10832 225837 0x050c04a5ce3b52bdd361fc6ef9aaee92f144ec7a091d07dac521d1ba77aeac67
5.421 296.643799573 (172.57003335267729) 0xDd5e4dbcff073A5f12ADb90e156db5Ea96557982/1414 240609 0x9baa930c4cc9b5f1f4237f2ec88c42c6e2427b0b0b64a3a684f153d3509bd65e 5960562 5960562 / 0
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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.