× 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 #651 - 2018-09-24 00:10:42 to 00:10:47; Start Time 1537747842.7496648

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 5.339646983 () 0x3F2a954e94f4FC65c9f71c049aA5d63eBb7b19b7/5860 800000 0xb27bed9e512c77c2d49dcaa21f54dd5570a537949a1a45817ed8879f1b9e42c2
2.924 6.900229999 (25.49997877094677) 0x55aE3f67039c332F55bE00c1d33D989d2DA108C5/17001 22000 0x7472ed443f823d0d9e6f1b2af51560a88efe12b7d9b92467dbbbe0614406db73
3.395 6.000200000 (-13.953488357671292) 0xfF7Baf00edF054E249e9f498aa51d1934B8d3526/3152 600000 0x9b65ca98167e405272c2bde77de96c051b8958757409de712ac218c3e9c775a7 6387635 6387635 / 45
4.614 200.000000000 (188.3491375251092) 0xe7EcA2a94E9D59848f3c1E1fFaACD881D4C3A4F2/5924 296184 0xe993f70df7ac3d6ac0852cbb0d3a139fd962d028d47a7ea036b6a62e80a48c11
4.731 6.407576380 (-187.58267212400472) 0x3F2a954e94f4FC65c9f71c049aA5d63eBb7b19b7/5860 800000 0x8d1aa38f6d3fb196fe37aded670ff875a9c8f8aae5249874720643b30b2344c9
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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.