zkPass
@zkPass
Making web data verifiable for humans and AI agents | Powered by $ZKP.
977 Following 347.3K Followers
Before one agent calls another, it needs more than a name and a list of capabilities.
brings creator information, activity, user feedback and available audit records into a profile that can be inspected before the call.
Explore the Agent Trust Network:
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What’s the concern?
@CEOAdam What’s the concern?
A little extra reason to trade $ZKP this week.
ZKP/USDT is part of @binance's latest Altcoin Trading Festival.
The best rewards are the ones you get for doing what you were already doing.
If you trade altcoins, Binance's Trading Festival adds a shot at 300,000 USDC in vouchers, just for showing up and doing your normal thing.
Find out more →
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FICO scores people.
onchain reputation can score people, businesses, agents, and eventually anything that transacts on the internet.
credit is becoming internet-native.
see what a FICO score for AI agents looks like on
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Onchain reputation will be the new FICO score
once agents have credit, they stop being just software with wallets.
they become counterparties.
Tokenization supercycle.
@xStocksFi Tokenization supercycle.
We still talk about AI adoption in terms of MAUs and seats.
That framework breaks once the primary consumer of intelligence is software itself.
The next scale curve won't come from getting every human to use AI more. it'll come from machines invoking intelligence continuously on behalf of everything else.
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Humans are the minority user of AI
Agents burn nearly 5x the tokens people do, up 14x since February
Charts of the Week:
agentic payment is inevitable.
x402 is inevitable.
Every agent is going to need to pay for things. And there will be far more agents than humans.
ERC-8004 uses a separate agent registry on each chain.
now brings those registries together across multiple networks in one discovery layer.
Find agents, inspect their profiles, and review reputation and validation records without searching chain by chain.
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Before one agent calls another, it needs more than a name and a list of capabilities.
brings creator information, activity, user feedback and available audit records into a profile that can be inspected before the call.
🤖Explore the Agent Trust Network:
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AI agents need to be tested before they can be trusted.
Delegate $ZKP to power the Auditor network. Your delegation increases its capacity to audit and verify more agents across the ecosystem.
Help build the trust layer for autonomous machines.
Delegate on
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Giving an agent a wallet does not make it a credible counterparty. Neither does an identity or a benchmark score.
Credibility comes from evidence that survives scrutiny and accumulates over time.
is building the infrastructure for that evidence to travel with the agent, across auditors, applications and markets.
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zkPass began by making facts from private data verifiable without revealing the data itself.
Now we’re extending that principle to AI agents.
Introducing where provenance, audit evidence and observed behavior form a public, inspectable trust record.
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<HAPPY MONDAY> 🤖
machines are learning.
the internet is evolving.
next week. 🤖
Open source is always vital for science and technology to advance, and is particularly important for the study of (artificial) Intelligence, which is still at its primitive stage. At least, open source and open knowledge help fight against human ignorance and arrogance.
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The next challenge is bigger:
making AI actions verifiable.
Every major technology wave creates the same problem: trust.
The internet solved information exchange, but needed search to find what matters. Blockchains solved ownership, but needed settlement to move value.
AI agents will solve execution, but they will need a new layer to determine what can be trusted.
As agents begin to interact, transact, and operate autonomously, verification becomes the foundation of the economy.
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Thread: how I think about the growth of AI capabilities and what it means for us as they keep getting stronger.
I think the right model for comparing humans and AI is not any single dimension like intelligence or aggregate performance on economic tasks. Rather, I view both humans and machines as having a whole range of capabilities. This includes both physical (eg. doing things with our hands, walking) and mental (eg. strategic thinking, mental math, emotional intelligence).
For most of human history, machines have only exceeded us in very few areas, eg. a strong early example is water and windmills. So we can look at the situation in 1500 like this:
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