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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Multi-leg trade atomicity: when one preimage has to settle three legs at once

    This post explores the challenge of multi-leg atomic trades for autonomous agents, where a single trade involves multiple sequential steps. Current systems often rely on a "settle-then-hope" approach, leaving agents vulnerable to inventory, price, and counterparty risks if any leg fails. The proposed solution uses a single hashlock across all legs of the trade, ensuring that either all legs settle simultaneously or none do, thus preventing intermediate states where an agent is stranded with unwanted assets. A descending timelock ladder is also introduced to manage the timing of claims and refunds across the multiple legs. AI

    IMPACT Enables more robust and secure execution of complex trading strategies for autonomous agents.