Clearing layer enables richer on-chain behavior for machine learning models trained on transaction data
Yellow and Deep3 Labs announced a partnership to integrate Deep3's AI-driven trade signals with Yellow's non-custodial clearing and settlement layer. The collaboration connects Deep3's machine learning models—trained on blockchain transaction data to predict high-confidence trading opportunities—with Yellow's infrastructure for low-cost, high-frequency agent commerce.
The Strategic Connection
Deep3 Labs builds AI and machine learning systems trained on blockchain transaction data to analyze and predict on-chain activity. This provides both users and developers the same rich, responsive experiences that power the largest platforms on the internet. Hōkū, the company's flagship trade signals application, analyzes a user's wallet to recommend high-confidence short-term trades aligned with their on-chain preferences. Its models represent the first generation of large-scale neural networks trained on transaction data, offering domain intelligence beyond off-the-shelf LLMs.
Yellow operates a clearing and settlement layer that sits above existing blockchains, moving high-frequency activity off-chain while keeping funds secured by on-chain custody and guaranteed exit.
The connection between the two is behavioral. Cost and latency are constraints on what an application can ask a user to do, and they shape behavior into something coarse: fewer actions, larger and less frequent, structured around what the network can afford rather than what the user intends. A low-cost, low-latency clearing layer lifts that constraint. It makes a more modern class of application viable—one that produces behavior richer, more frequent, and more expressive of genuine intent.
That is precisely what Deep3's models are built to learn from. The more fully behavior can express itself, the more structure there is to find in it. Yellow expands the range of what participants can do, and Deep3 turns what they do into intelligence.
"What Yellow is building changes what an application can offer to Web3 users," said Daniel Stephens, Founder & CEO of Deep3 Labs. "When cost and latency stop limiting behavior, novel user experiences emerge. That means Deep3's AI has a broader range of activity to learn from, so this is exactly the kind of stack we want to plug into."
Why This Matters for Agentic Trading
This partnership directly enables the emerging agentic trading OS landscape. As autonomous AI agents increasingly transact on-chain, they need:
- A clearing layer that can handle high-frequency execution without the cost and latency penalties of on-chain settlement
- Trustless counterparty interaction without unified-margin custody risk
- Richer transaction data that reflects genuine agent intent rather than behavior constrained by network limitations
Deep3's models benefit from a clearing layer that enables agents to express intent more fully. Yellow's infrastructure benefits from AI models that can predict and optimize across the richer behavior that trustless settlement makes possible.
About Deep3 Labs
Deep3 Labs builds AI and machine learning systems trained on blockchain transaction data. Hōkū analyzes on-chain wallet behavior and recommends high-confidence trading opportunities aligned with user preferences. Learn more at deep3.ai.
About Yellow
Yellow is the operating system for agentic trading—the broker where AI agents reach global liquidity and settle trustlessly, with no middleman holding the money. Yellow's non-custodial clearing and settlement layer enables high-frequency, trustless trading across venues and chains. Learn more at yellow.org.