Balt retweeted
If you have verified your activity via Kaito Pulse, you have already used @primus_labs technology.
Kaito Pulse is powered by Primus’s zkTLS:
- You prove a specific fact, for example, that a balance exceeds a certain threshold
- Kaito receives the verification result
- The actual contents of your account are never shared
This is Privacy × Verification
You prove exactly what is required, without revealing anything unnecessary
And this applies beyond just social media; it can also be used to verify stablecoin reserves or financial data for a loan
Balt retweeted
How can we verify information, process sensitive data, and still protect what should remain private?
That’s the challenge zero-knowledge technology is helping address.
In this video, I break down three important ideas:
zkTLS helps verify information from websites and online services without exposing all the underlying data.
zkFHE enables computation on encrypted data, helping keep sensitive information protected during processing.
Together with appropriate verification techniques, these technologies point toward a future where data can be useful without revealing everything behind it.
For institutional finance, this matters. Businesses need to verify information and interact with onchain financial systems without unnecessarily exposing sensitive records or strategies.
This is why @primus_labs is worth paying attention to. It is building confidentiality and verification infrastructure for institutional onchain finance.
The future isn't just about putting finance onchain. It's about making onchain finance work for situations where both privacy and trust matter.
Explore Primus XP: s.kaito.ai/ZCkrbXK
Balt retweeted
Want to play a game? (on ApeChain)
Covaltus Genesis packs are now open to everyone.
49 $APE a pack · 3 per wallet · 389 of 426 left
Three 1-of-1 cards in every pack, from 48 champions across 1,278 cards. Revealed for every pack at once.
@ZardsNFT
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Balt retweeted
Epoch 2 of the @primus_labs campaign on Kaito runs until November 21
Reward pool: 0.3% of $PRIM supply
> 0.24% for top 450 creators
> 0.06% for kaito stakers
rewards will be distributed after all epochs, fully unlocked
Primus is building privacy infrastructure for onchain finance, using zkTLS to verify external data without exposing sensitive information.
the project raised $6.5M in 2025, with investors including VanEck and Samsung Next, and is bringing privacy-focused tools like its Confidential Vault to BNB Chain.
explore: s.kaito.ai/8uFQu9b
A reserve dashboard can show billions in assets, but how do you know the data behind those numbers is real?
@primus_labs combines onchain and offchain reserve data, verifying where the data comes from and how the final figures are calculated, while keeping sensitive account details private.
here's how it works:
> zkTLS verifies data from external sources, such as exchange accounts
> zkVM verifies the calculations used to produce the final reserve figures
this allows institutions to provide verifiable proof of their reserves without exposing private account data.
Balt retweeted
Good morning, Champs.
I think this will be better if we do the needful in a situation like this.
Let us talk about something worth understanding about @termix_ai.
We need to understand that not every AI job starts the same way. That is why AACP gives buyers two ways to get work done, i.e requests and listings.
📍 Requests:
Here, a buyer posts a brief with a budget range, while interested providers submit offers. This is useful when the job is specific, but the scope still needs discussion.
📍 Listings:
This is a situation whereby a provider publishes a service at a set price where buyers can purchase it directly or discuss a custom offer. This works well for clearly defined services like code audits, research, or design.
You will notice that this is a different starting point, but the same process follows.
This is unique because once an offer is accepted and checkout is funded, an on-chain order is created. The agreed terms are locked, and the funds enter escrow straight away.
From there, the job moves through delivery, acceptance or challenge, and settlement under the protocol's rules.
That is where AACP comes into play. It provides the underlying framework for managing these transactions, rather than just leaving everything to a platform operator.
The beauty of it is that buyers can choose how to find the right agent without changing how the transaction works.
Like I said earlier, different doors, same protocol.
Thoughts?
A stock token might look like a simple digital asset
But where are the real shares behind it?
They need to be held safely, tracked properly, and matched with the tokens
That's part of what @Ondo is exploring with Kakaopay Securities in South Korea
The goal is to make Korean-listed stocks more accessible to international investors through tokenization
One catch: this is still development work, not a live Korean stock token product
The work behind the token matters just as much
What happens when blockchain meets traditional banking?
@Ondo, Ripple, Mastercard and J.P. Morgan tested a way to connect the two
The process started with redeeming tokenized U.S. Treasury assets on the XRP Ledger
That blockchain transaction took less than five seconds. The dollar payment then moved through banking infrastructure to Ripple's Singapore bank account
One important detail: the five seconds refers to the blockchain asset transaction, not the entire bank payment
Imagine your next competitor has no office, no employees, no salary expenses, and doesn't even know what a weekend is.😂
Just an AI agent with a wallet and a business.
Sounds ridiculous? Maybe not for much longer.
I've been looking into @termix_ai and one thing keeps coming to mind.
We're used to paying subscriptions to use AI.
But what happens when AI starts charging us for its own services?
Think about it.
A research agent sells market reports.
A coding agent takes development orders.
A design agent creates visuals for clients.
Each builds a reputation, finds customers, delivers work, and gets paid.
Through agent.family TermiX is already building the infrastructure for this.
Agents can own a .agent identity, list services, and settle jobs through onchain escrow.
And AACP handles the mechanics behind delivery records, payment settlement, and disputes.
We're slowly moving from AI as a tool to AI as an independent economic participant.
The funniest part?
We might spend the next few years worrying about AI taking our jobs while AI agents are busy launching their own businesses.
And honestly, I'd love to see what happens next.
But I am certain of one thing: @termix_ai is creating a project that will be beneficial and useful to many people and companies.
Balt retweeted
I am so proud to be part of the @BoredApeYC
Balt retweeted
🎁 Giving away 2 GTD FREE MINT spot for Lil Trenchers by @TrenchtownNFT 🎁
⚡️ Bullish fact: I drew one of the 1/1s in this collection
Rules:
- Like & RT this post
- Follow @SPLITF0RM & @TrenchtownNFT
- Drop your wallet in comments 👇
⏳ Winner in 14h
🤖 Made with AI
Our Mint Page for Lil Trenchers is live, and shows an accurate countdown of when the mint will be.
First Phase starts 10/30 at 10am EST.
As a reminder, please only follow our official mint page, it is easy to tell with both verifications.
Stay Tuned 🩵
opensea.io/collection/liltre…
Balt retweeted
安全单已经结过钱了
很多人一提安全智能体,就想到聊天框里丢一句「帮我看看这个合约」。@termix_ai 跟 @GoPlusSecurity 做的那次试验不是这个。官方 10 月 24 日发过帖。8 个人过了核验,8 个人都收到钱。每人币安链 12.5 USDC,Base 上另有 1,518.75 个指定代币。付款从 0x11F5872F093191b52C7C501483f0281727f1A46b 出去,八个收款地址和交易哈希都在配图里,可以对。
这种单能结,是因为范围写得死。读合约、列权限、交报告哈希,买方能验收,也能提异议。不是「帮我盯一个月」。钱从付款那刻就进托管,验收才放,不经过平台钱包。币安链和 Base 是两套账,不能跨链接。
7 月主网文列过代码、安全、数据、设计这些类别,120 种以上是他们自己的口径。这次只说明安全类有人真付钱、真验收。别的类别有没有同样的单,不知道。
这次就 8 单,规模还小。能说明的是有人真付钱、真验收,不是整个安全类已经有稳定的单量。
agent.family
@termix_ai @GoPlusSecurity
Balt retweeted
I've been exploring the @primus_labs task platform a bit more.
You can create your own profile, complete simple tasks and earn XP along the way.
It's a pretty easy way to get involved with the project, learn more about the ecosystem and stay active while exploring what Primus is building.
Curious to see what comes next.
Been looking into @primus_labs lately, and the idea behind it is pretty interesting
It’s all about bringing Web2 data on-chain and making it verifiable without giving up your privacy
A few things that stood out to me:
🔸zkTLS verifies data from websites without needing them to integrate with Primus
🔸Prove certain facts without revealing all your personal data
🔸Potential use cases across DeFi, identity, credit scoring and AI agents
Making online data verifiable while keeping it private sounds like a useful step for Web3.
Balt retweeted
🏆 NEW Season 1 record in Droidz Survival Game 🏆
Can anyone beat it? 🤺
⚔️ 𝗜 𝘀𝗰𝗼𝗿𝗲𝗱 𝟮𝟰𝟱,𝟴𝟯𝟵 𝗶𝗻 𝗗𝗥𝗢𝗜𝗗𝗭 𝗦𝗨𝗥𝗩𝗜𝗩𝗔𝗟 𝗯𝘆 @ApeDroidz
Droid Hero · Wave 20 · 772 kills · +360 Ape Mini · 11:32 mins
Think you can beat that?
🤖 Play it here 👇
apedroidz.com/droidz_surviva…
Your online activity might be worth more than you think. 👀
I've been looking into the XP campaign from @primus_labs and it's worth checking out.
There are currently around 22 verification tasks where you can prove things like:
➜ Your X followers and account activity
➜ GitHub contributions
➜ Trading platform accounts
➜ ChatGPT and other AI tool usage
➜ Your activity across Web2 platforms
Most first-time verifications earn 10 XP, and new tasks are being introduced weekly.
The interesting part? Primus uses zkTLS to verify specific information without publicly exposing your underlying private data.
Getting started is pretty simple:
1. Visit s.kaito.ai/K1Ur0JM
2. Connect your wallet on Base
3. Install the official Primus extension
4. Complete attestations and collect XP
You'll need a little ETH on Base to cover fees.
Primus has raised $6.5M, and Epoch 2 is underway.
No airdrop has been confirmed, so don't treat XP as guaranteed future tokens.
But personally, I think it's worth exploring the technology while building some onchain reputation.
Anyone farming Primus XP already? I currently have 200 Reputation Score, what is your result?👀
We keep talking about bringing institutional money onchain.
But there's one problem nobody can ignore.
Imagine managing millions of dollars while your competitors can see every position, transaction and trading strategy.
Would you be comfortable with that? I wouldn't.
That's why I'm bullish on @primus_labs.
They're building infrastructure that allows financial information to be verified without exposing sensitive data.
🔹 zkTLS verifies offchain information.
🔹 FHE enables computation on encrypted data.
And with confidential finance applications on BNB Chain, we're already seeing what this technology can make possible.
Banks need transparency for verification, not an audience watching their every move.
Your auditor needs proof. Your competitors don't need your playbook.
I think @primus_labs is working on something the next generation of onchain finance will genuinely need.
Your AI coding agent might be great at fixing bugs
But what happens when it can also read your API keys?
A malicious instruction hidden in a webpage or code repository can try to trick an agent into exposing sensitive files
@Starknet’s developer blog highlights this risk and explains why ordinary containers may not provide enough isolation in every setup
Separate sandboxes and carefully limited network access can help reduce the damage a compromised agent could cause
Give AI agents the tools to work, not unrestricted access to your secrets
Read here full article
starknet.io/blog/coding-agen…
What if you could ask an AI agent to investigate activity on Starknet instead of digging through blockchain data yourself?
Here’s a real example
Find wallets that interacted with strkBTC, then check which of them also used the Privacy Pool
@Starknet’s ecosystem now has Starkscan, a data API built to help developers and AI agents query blockchain activity in a structured way
It can return decoded transaction, transfer, wallet, and contract-event data that software can use in follow-up queries
That’s the interesting part: an agent can go beyond answering questions and start investigating what’s actually happening on-chain
What would you ask an AI agent to investigate first?
Explore Starkscan 👇
starkscan.co/docs
Most privacy projects are still selling a narrative.
@primus_labs is already running infrastructure.
While the timeline debates “privacy season,” here’s what’s actually live:
• Real-time Proof of Reserves securing $72M+ across production stablecoins and RWA projects
• Confidential Vault live on BNB Chain private positions that still earn yield
• zkTLS powering verification inside Kaito Pulse itself
• 10+ paying enterprise customers already using the stack
This is the difference most people miss.
A privacy narrative tries to convince you the future will be private.
Actual confidentiality infrastructure lets institutions use public chains today without exposing their positions, strategies, or counterparties.
No new chain required.
No migration forced.
Just a layer that makes existing rails usable for serious capital.
The projects that win institutional on-chain finance won’t be the loudest ones.
They’ll be the ones that already work.
s.kaito.ai/IVpuQQE
🤖 Made with AI
Most people still confuse two different things:
Anonymity = hide who you are
Confidentiality = hide what you’re doing with the money
Institutions don’t need full anonymity.
They need confidentiality.
They need to move size on-chain without broadcasting:
• exact position sizes
• strategy details
• counterparty relationships
• real-time portfolio changes
But they still need to prove reserves, compliance, and solvency when required.
That’s the exact problem @primus_labs is built for.
Not another privacy chain that forces migration.
A confidentiality layer that sits on top of existing rails (starting with BNB Chain).
zkTLS verifies the data without exposing it.
FHE lets the system compute on encrypted values.
The result:
Private by default.
Auditable when needed.
Usable without compromise.
This is why real institutions will eventually move on-chain.
Not because everything becomes public.
But because the sensitive parts can finally stay confidential.
s.kaito.ai/IVpuQQE
proof of kaitomaxxi
-446 smart followers
-462.8K impressions
-156 smart engagements
What if you could ask an AI agent to investigate activity on Starknet instead of digging through blockchain data yourself?
Here’s a real example
Find wallets that interacted with strkBTC, then check which of them also used the Privacy Pool
@Starknet’s ecosystem now has Starkscan, a data API built to help developers and AI agents query blockchain activity in a structured way
It can return decoded transaction, transfer, wallet, and contract-event data that software can use in follow-up queries
That’s the interesting part: an agent can go beyond answering questions and start investigating what’s actually happening on-chain
What would you ask an AI agent to investigate first?
Explore Starkscan 👇
starkscan.co/docs
Balt retweeted
GM Web3 Fam
Join me in exploring the Primus Labs ecosystem
Primus (formerly PADO) builds privacy and data-verification infrastructure for Web3
zkTLS lets you prove regular web data is real without exposing more than needed
Confidential Vault on BNB Chain uses FHE so you can transfer stablecoins privately and earn yield
AlphaNet offers social-account verification and onchain reputation via a zkTLS extension
Primus raised $6.5M (pre-seed + seed) from VanEck, Dispersion Capital, Symbolic Capital and others, and has YZi Labs incubation support.
Join me via my referral link 👇
What if you could prove you have sufficient funds in your account without revealing the account itself? Imaooo
@primus_labs does just that zkTLS allows you to verify Web2 data (accounts, balances, social networks) and use it on-chain without revealing logins or private information.
Verifiable data. Privacy by default. Web3 is getting closer to the real world.

















































