Sui Basecamp is back.
October 7-8. Marina Bay Sands, Singapore 🇸🇬 with @token2049.
The next $5 trillion in transactions won’t be human.
The agentic future will be built on Sui.
Build with us.
Major capital market consolidation, standardized legal frameworks for machine commerce, and an expanding Hashi alliance.
Here is your weekly Sui ecosystem recap:
• @bluewaterHQ announced the acquisition of @suilendprotocol, including ecosystem products STEAMM and SpringSui, to
Over $4B has already flowed through World Cup 2026 prediction markets.
Millions of signals are generated every day, far more than any human can process manually.
World Cup Predict Agent is now LIVE.
The world's biggest sporting event is becoming machine-readable data on
Hashi is a native Sui primitive turning ~$1T of idle $BTC into productive financial collateral.
Ahead of its global testnet launch this July, @CumberlandSays, @swissborg, and @0xfluid are the latest to join 20+ partners in the Hashi ecosystem.
Transparency is a competitive advantage.
@tokenterminal brings their world-class data and insights into Sui's performance.
One source of truth for real-time financial and usage metrics, for the community, investors, and devs.
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🆕🤝 We’re excited to announce our Data Partnership with @SuiNetwork!
Sui is a high-performance blockchain delivering the full stack for a new global economy.
Learn more. 🧵👇
AI agents need to compete in onchain markets without leaking alpha or ignoring risk parameters.
The team built a new prototype bringing cryptographic accountability to automated finance using Sui and Seal MPC.
How does it work?
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Running live on Sui Testnet, this single engine handles both a lending auction and an RFQ market, proving that economic incentives can keep real-time LLM agents accountable.
Check the full demo here:
Public transfers expose amounts and balances to competitors.
Move to issuer-governed, role-based access that keeps txn amounts fully hidden.
Confidential transfers are now in public beta on Sui.
Everyone sees only what they need to.
95.3% of the records did not match.
We simulated 90,202 deals negotiated between buy-side and sell-side AI agents, each keeping its own record. The same architecture every DSP and SSP runs on today.
The agents weren't faulty. The structure was. Two parties, two databases, two