Nick Rotenberg

Cryptocurrency project researcher 💼 Your father and friend in crypto world 🌎

[Habibk.HK @habibk79]

A Correct Proof Can Still Start With False Data

A zero knowledge proof can verify a calculation, but what if the original data was never authentic?

This is the problem @primus_labs tackles with zkTLS. It verifies that information came from the claimed source through a genuine TLS session, without exposing private credentials.

That matters for Proof of Reserves, where a correct total means little unless the underlying balances can be trusted.

By connecting authentic Web2 data with onchain verification, @primus_labs helps build a stronger foundation for transparent financial applications.

As this approach expands toward centralized exchange reserves, @primus_labs is addressing a critical question for Web3.

Can users verify not just the math,
but where the data began?

[Nick Rotenberg @NickRotenberg]

@habibk79 @primus_labs excellent breakdown

[Nick Rotenberg @NickRotenberg]

@cangg_l @quipnetwork Good morning

[Kamrul🪑 @kamrulbroz]

Can we really trust what AI agents tell Us ?

imagine asking an AI agent to check $BTC market data before making a trade.

within seconds, it gives you the price, some analysis, and a suggestion on what to do next.

sounds pretty useful.

but what if the agent never actually checked the exchange it claims to have used?

that's a question that came to mind while i was exploring @primus_labs and its work around verifiable AI agents.

AI is already changing how we research tokens, track wallets, and understand the market. but when real money is involved, knowing where the information comes from matters just as much as getting an answer.

and this is where @primus_labs caught my attention.

its zkTLS technology helps verify information coming from websites and APIs through cryptographic proofs.

in simple terms, an AI agent could show evidence that certain data actually came from an exchange, rather than just claiming it did.

what made this even more interesting was something i found on their @github.

Primus has developed @binance Verifiable Skills and @okx OnchainOS Verifiable Skills.

these tools help developers connect exchange APIs with zkTLS verification.

the Binance examples cover services like Spot and Futures, while the OKX tools explore market data, token information, and other API interactions.

i like that there's actual developer work behind the idea, not just a discussion about what AI might do someday.

imagine a trading agent checking an exchange, getting the latest available market response, and attaching proof of where that information came from.

you could verify the source data without having to take the agent's word for it.

of course, there's one thing worth remembering.

real data doesn't always lead to the right decision.

even with verified information, an AI agent can still make mistakes or suggest a bad trade.

zkTLS helps with checking the data source, not guaranteeing the quality of an AI's decisions.

personally, i think that's an important distinction.

as AI agents become more involved in crypto, i'd like to see more tools that help people understand what happened behind the scenes.

not just faster answers, but better ways to check the information those answers are built on.

i also made a 30-second motion video to show how this works, from an AI agent requesting market data to Primus helping create a verifiable proof.

tried to keep it simple so anyone curious about the technology can follow along.

the more i explore @primus_labs the more i see why verifiable data could matter for the next generation of AI agents.

because at the end of the day, a confident AI answer is useful, but knowing where its information came from is even better.

-> explore primus: !!

[Nick Rotenberg @NickRotenberg]

@zippy257 The cascade effect on these flushes is always brutal

[Nick Rotenberg @NickRotenberg]

@Whitelist1Media @wirex_one 8% back in pure USD with zero lock-up is insane

[Nick Rotenberg @NickRotenberg]

@cangg_l @grvt_io Public buyback receipts actually prove the team's alignment with holders

[Nick Rotenberg @NickRotenberg]

@sallubroz @agenticscredit Raw PnL is a terrible metric for AI agents.

[Nick Rotenberg @NickRotenberg]

@kamrulbroz @primus_labs An AI hallucinating a price could completely wreck a portfolio

[Nick Rotenberg @NickRotenberg]

@Wartask1 The pressure is entirely on Inter here

[Nick Rotenberg @NickRotenberg]

@alver1301 @GenLayer Rank #24 on the GLP leaderboard is absolutely massive

[Nick Rotenberg @NickRotenberg]

@biziyou888 @protocol_fx Composability is the real alpha here

[Nick Rotenberg @NickRotenberg]

@promground121 Consistency is the ultimate edge in Web3

[Nick Rotenberg @NickRotenberg]

@dan912n Activity alone is just a metric; behavior is context

[Nick Rotenberg @NickRotenberg]

@Skybornfx Hiring former Pixar animators is a genius move

[Nick Rotenberg @NickRotenberg]

@mvanthof28 Judging intent over volume is where on-chain credit has to go

[Nick Rotenberg @NickRotenberg]

@serg71kz A privacy layer that breaks composability is just a vault

[Nick Rotenberg @NickRotenberg]

@dsnb0159 The biggest historical inaccuracy here is about Buddhism

[Nick Rotenberg @NickRotenberg]

@helpermc @Nogasonsui A $63k FDV is incredibly low for a presale these days

[Nick Rotenberg @NickRotenberg]

@gasparjayena @GenLayer Much better than the multi-year lockups we usually see