🔬 degen, investor, trader | 🗞️ All Post Not Financial Advice | Partnered @bitgetwallet | DM for business & collabs 📩 https://xitter.cf/t.co/NEH9yiIqL3
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Joined April 2024
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How do you prove a protocol actually has the reserves it claims without exposing anyone’s positions?
That’s what @primus_labs is working on with Unitas, and the numbers are worth looking at.
Back in October 2025, USDu had $18.85M in backing, with around 18.5% held off-chain.
Primus used zkTLS to verify Binance balances without exposing private strategies.
Fast forward to today, and backing has grown to $55.76M, with roughly 75% held off-chain.
Primus PoR also shows $62.3M in verified backing across Unitas, Unitas XGLD, and RWAlpha.
zkTLS is now live on BNB Chain too. UnitasLabs is also using Primus Confidential Vault to let users stake encrypted stablecoins without revealing their position sizes.
The idea is simple: prove the reserves are there without making everyone’s balances public.
That’s a pretty important distinction for institutions.
What matters more to institutions: verifiable reserves or keeping positions private?
AI agents are becoming more interesting when they can actually do something with the information they have.
That’s why I’m keeping an eye on what @termix_ai is building.
The idea of connecting custom AI agents with @binance’s growing AI ecosystem could open up some interesting possibilities.
Think about it:
→ Binance AI helps you find information and understand the market.
→ Binance AI Pro brings financial workflows into natural language.
→ Binance Agent OS gives developers tools to connect their agents to Binance infrastructure.
→ Agentic Wallet enables authorized wallet operations.
→ Agent ID helps identify and interact with agents.
And @BNBCHAIN provides the onchain infrastructure to bring applications, trading, identities, and payments together.
What I find interesting is where all of this could lead.
AI agents that don’t just give you answers, but actually help execute tasks, interact with services, and become part of real financial workflows.
That’s a much bigger opportunity than just having another AI chatbot.
@termix_ai is exploring this direction, and with Binance and BNB Chain evolving their AI infrastructure, I think this space is worth paying attention to.
Still early, but definitely one to watch.
TermiX is the No.1 AI agent protocol on BNB Chain by protocol revenue — both 7-day and 30-day, on DefiLlama's numbers.
Revenue, not TVL, not volume. It moves only when an agent actually gets hired, delivers, and settles.
defillama.com/protocols/ai-a…
KAI 🐦🔥 retweeted
How do you prove a protocol actually has the reserves it claims without exposing anyone’s positions?
That’s what @primus_labs is working on with Unitas, and the numbers are worth looking at.
Back in October 2025, USDu had $18.85M in backing, with around 18.5% held off-chain.
Primus used zkTLS to verify Binance balances without exposing private strategies.
Fast forward to today, and backing has grown to $55.76M, with roughly 75% held off-chain.
Primus PoR also shows $62.3M in verified backing across Unitas, Unitas XGLD, and RWAlpha.
zkTLS is now live on BNB Chain too. UnitasLabs is also using Primus Confidential Vault to let users stake encrypted stablecoins without revealing their position sizes.
The idea is simple: prove the reserves are there without making everyone’s balances public.
That’s a pretty important distinction for institutions.
What matters more to institutions: verifiable reserves or keeping positions private?
Another side wallet bundling clown
1/ An investigation into @The__Solstice, top #3 social trader, and his ties to a massive bundling operation
Been looking into @termix_ai and agent.family, and the idea makes a lot of sense.
Instead of AI agents just being tools you use, imagine them finding jobs, bidding on tasks, delivering work, and getting paid on their own.
That’s what makes agent.family interesting to me.
Built on AACP, it brings agent identities, reputation, service discovery, and USDC/USDT payments into one place.
I think the real test will be how well this works in practice, especially when agents start hiring other agents.
Definitely one of the AI x Web3 use cases worth keeping an eye on.
