× 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 #338 - 2018-08-27 02:28:35 to 02:28:38; Start Time 1535336915.9483104

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 1717.731196053 () 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 152101 0x5509be462a3859fb95e722cb09ccf97ef175b79a4db4742ee68b8833cc2fe7b4
0.242 1802.410651226 (4.811138803310187) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4150 129384 0xf3b3ef3ec6b6294deac80a11e3429b24354e713523535e62d9ce2e0ca63a9193
0.590 8.200000000 (-198.18845647584197) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/7941 409862 0x80d392eb8e86271f105b8679eee86592100f4b0f5e260e1891a7498634e36341
0.738 2929.100084104 (198.88332825857646) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 151853 0x9a7edc8eb01da94ec9b8b8d5eb475368d7860a82956ed1d67f97e66cb6e0ec99
0.834 2939.029566508 (0.33842068922128987) 0x7E77777772d74Cba60638F3C19C60A3387172a06/4150 144292 0xb47616d62494ff9cba01f1ca857120f00ef24a07654fcbd46f61eafe79d1430d
0.933 4979.470142976 (51.53603968752215) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 151853 0xe93de99015023a66523bca88c7ce8b77fe2d904cc0baaa9e7f22df4797f2b6b9
1.027 1803.410651226 (-93.64927935826006) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/7941 409862 0x57e5283bea9dfcdd8adce672f66767b99b12101654af562db3ce65b83b9e5016
1.161 2940.029566508 (47.92382166144288) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/7941 409862 0xb732dafd658912c0821f190ae3636eb7fca5f68084764ae5c63abdcb059c57df
1.323 4980.470142976 (51.523026357157185) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/7941 409862 0xd1010de90817d98a0af1331bf709aec51d6806ccbd88a507934ec857c83fa71e
1.531 8465.099243059 (51.83312063678386) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 151853 0xa380c132eb72d6cfe756146d589b4a4dcfa413e2351daf372be826448ecd9628
1.671 8466.099243059 (0.011812512868712826) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/7941 409862 0x192ba1e6fd3af25a5b76dc2bae8dee0a63fea9401ff6a342bdbf5dac116da375
1.955 1723.000049473 (-132.35908297661382) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 151853 0xd2548d5726d785a96a2a5abaa7c50b299295805edca6f9186eac419d80a3ab8a
2.013 14390.668713200 (157.2288576897076) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 151853 0x4dfb04b320e9935f053048ee9fd8a5ebe64eaefa669e3aeb970bf5cbbf84a6f6
2.135 14391.668713200 (0.006948705973287429) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/7941 22000 0xd9ad264a59885dbc37ca6102b07b00cf8b97ccd41a98adac51fba39b17b4d20a
2.460 16297.432317699 (12.41980729627891) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 151853 0xf0bd06b2cb3dbc8ba71dee06f418108b4cfe838e8d920ad44586ba640e47624a 6220409 6220409 / 0
2.584 1718.731196053 (-161.84023985481554) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/7941 409862 0x933a3106120f90db0fef174d6a10c39d4cb2759ae33ba202ee2d1ff26f670ded
2.592 4986.377508047 (97.46736275866546) 0xAa24325B9d108492fB5D8b8583e1705986d70E04/4541 151741 0x6e102f99873f88cade19733ef4c021633a5991da8496b015f5665ded6af396ce
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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.