× 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 #19 - 2018-07-01 11:57:07 to 11:57:10; Start Time 1530446227.9608474

Seconds Elapsed Gas Price (gwei) Bidder (Sender Address/Nonce) Gas Limit Transaction Hash Gas Paid Block/Index Mined
0.000 60.511085806 () 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 186282 0xe8ccd82efb946b78621e01babd3c61712b55ecc5936d7760bd368140c55b54c4
0.136 146.292000000 (82.95902728885801) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0x49a3e2b57130654b043870661c4a31fa9542e8f409518f1616896d57ea34cc8c
0.163 60.511085807 (-82.95902728748976) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0x1af1e44b92fe059e670d8c69ff492dbae61196bbf36fadba0c681b7363f529df
0.342 168.235800000 (94.18682471934528) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0x2046265367dd2421982661c9bb801a789d663004a6730d2e872a078033d54178
0.448 160.921200002 (-4.444444443202214) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0x7851ac80fd90f489efe561cc236e1c67ad610d35c2cb15b4add6578ae7a70f86
0.462 194.714652004 (19.004524887681946) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0x5705489eb958cf85fad31ba78fca2a5eebe694f335ac39b07bd205f31352b6d3
0.464 195.104081308 (0.19980019979609942) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0x11f760264d0e3a2e0bf2507402ec2bbf45e91e971fce61467927d28ac809aa99
0.620 235.604728926 (18.806509946242514) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0x6b568d7a7476ca111f45a2465724c052e5dbcd1b5ab33b2bab1bbf36f4b0b4a1
0.629 236.075938383 (0.19980019943929933) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0xbe9274e8cadbc24b4877d06a07c0d28341d8855e13f50be81771469c1196f4a1
0.741 285.081722001 (18.806509946295908) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0xa68fab13b640903651f3eb70af21cfa6ac80aca45056750e337e666237fffd98
0.750 285.651885445 (0.19980019979949967) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0x1154b46943e24336009210ceb12ac1b3b82ec9ec04ebf89a8f2e6d0c0af4bd35
0.963 345.638781390 (19.004524887322223) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0xfd37b7d6ed07f81690ad2ea5e45f151a79444fac3702a438734bbfab6151335f
0.969 344.948883623 (-0.1998001997290273) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0xcf7161fdad6ea2e726c4ba42b29e225e1e094b10147115157c440893b1c13c91
1.083 417.388149185 (19.00452488715561) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0xa9cccfad9913237893495e1c416e525f47858081e3ac5eec35c2c8c505fc5ea6
1.088 418.222925483 (0.19980019971173033) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0xf6f533dc6d1cf1ebd05681d2efa03b2b4f0c2df2feea21053aba2ceef7b13c89
1.238 505.039660515 (18.806509946063834) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0x118262a00f94d1f8d7800ff67f1d401bf7491e8b16c0c50f2b9226c7f664289f
1.244 506.049739836 (0.19980019979427155) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0xa2824239d482b917e9a0e02b45fac669534e1f4fd4ce5f2a066c29e956d47a85
1.361 611.097989224 (18.80650994589419) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0xce8141fc79c15a3e9ae77629a896bb55a7ce8d6182142b34210623e7e609661a
1.375 612.320185202 (0.19980019972703553) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0x630040a4b294e03716e673570ba91a1c6f192074da5b2bc47e871f176dc56a73
1.494 672.207788147 (9.324452902160168) 0x67d1f31eeEF182cFB40c0719A8c0000fA7DDCAA9/11317 377773 0x7466bfc2a9446eb56f2a8c9c6b8778f1b7866d54b0714231e068df4f61357900
1.498 691.921809278 (2.890344314530406) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0x9f0d22c1866a5091f0fe2bd79a3864fc08a43365961faa44c02540e7af452ccb
1.816 781.871644484 (12.206572769935214) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0x798a007367bd2fb7a4fb875f19913ebb45ca9fd435815ff9b01382f7c57e06ce
2.049 883.514958266 (12.20657276984931) 0x6BEcAb24Ed88Ec13D0A18f20e7dC5E4d5b146542/509 216676 0xf87785b9f29ae561c42a103008cc29a2b19d392890ea668ceb3d5baa2589e9c0 5886377 5886377 / 1
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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.