Biconomy (@biconomy): AI agents break on fragmented DeFi data.
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AI agents break on fragmented DeFi data. Traditional approach: Agent learns from scattered bridge transactions, isolated swaps, separate approvals across 15+ protocols. Result? Inconsistent patterns, poor decision-making. Biconomy changes this fundamentally. Agents shouldn't handle execution complexity. Supertransaction data structure gives agents clean, structured workflows instead of fragmented chaos: - Complete cross-chain flows in single data objects - Standardized execution patterns across protocols - Atomic success/failure states for reliable learning Plus agents get everything in one integration: Smart accounts + execution + routing + gas abstraction. No juggling multiple APIs. No inconsistent data formats. Just structured workflows that agents actually learn from. This is why @askginadotai and @AIWayfinder agents perform complex strategies that break traditional bots. Better training data = smarter agents.