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EVAGE: Autonomous MEV Generation and Adaptation via Multi-Agent Harness — arXiv:2609.27424

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.27424
License (as archived): CC0-1.0
Archived: 2026-10-08T10:13:13.330Z
SHA-256 of the archived text: 4eb56068ba29ee02315bdcb121793d6a107594ac5a9490eb6f363f703376afc2
Stable URL of this page: https://metraipolis.com/documento/dc_13fda2c0bdfd

How to cite

EVAGE: Autonomous MEV Generation and Adaptation via Multi-Agent Harness — arXiv:2609.27424 — arXiv (en), https://arxiv.org/abs/2609.27424 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_13fda2c0bdfd (Metraipolis archive dc_13fda2c0bdfd, sha256 4eb56068ba29ee02315bdcb121793d6a107594ac5a9490eb6f363f703376afc2)

BibTeX

@misc{dc13fda2c0bdfd,
  title = {EVAGE: Autonomous MEV Generation and Adaptation via Multi-Agent Harness — arXiv:2609.27424},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.27424},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_13fda2c0bdfd; sha256 4eb56068ba29ee02315bdcb121793d6a107594ac5a9490eb6f363f703376afc2},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.27424. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Maximal Extractable Value (MEV) has evolved into a major economic force in blockchain ecosystems, yet its capture is dominated by experienced teams, and both strategy design and implementation rely on manual expert work that scales poorly across heterogeneous protocols and chains. We present EVAGE, the first fully autonomous multi-agent framework for end-to-end MEV strategy generation and adaptation. Equipped with three specialized operation modes, it automatically discovers novel MEV variants, adapts execution logic across disparate protocols, and ports strategies between chains, including Layer-1 and Layer-2 networks. To avoid inference latency on the critical MEV execution path, EVAGE generates and refines MEV bot code offline rather than making real-time decisions directly. Under the coordination of an orchestrator agent, three specialized subagents collectively implement and repair the full MEV bot workflow via closed-loop diagnostics, eliminating human intervention while producing validated and deterministic Proof-of-Concept implementations. We evaluate EVAGE on over 1.5M blocks from each of Ethereum, Base, and BNB Smart Chain (BSC). On Ethereum, EVAGE uncovers five novel MEV strategy variants, yielding a profit increase of 1.02$\times$ to 15.97$\times$. It also successfully adapts 11 MEV strategies from CPMM to both CLMM and Balancer V2 and ports strategies from Ethereum to Base and BSC, all with less than 60 dollars in LLM token costs.

Tema degli esploratori: fiducia digitale e crittografia (retro-catalogo arXiv: annunci del 2026-09-24 in cs.CR).
Categorie arXiv: Cryptography and Security (cs.CR).
Pagina del lavoro: https://arxiv.org/abs/2609.27424 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-08T09:26:35.698Z dalla pagina https://arxiv.org/catchup/cs.CR/2026-09-24?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).