Week 36 alone saw $62M extracted through rug pulls.
That pushed ChainAware’s running total past $900M.
Then Week 37 came in differently:
$36.2M extracted, down 42%.
But rug-pull events were up 12%.
The headline number changed. The underlying activity didn’t disappear.
ChainAware tracks this every week, not just the headline number. Check any token free before you're in next week's count.
👉 chainaware.ai/blog/rug-pull-…
A token can pass its honeypot check and still have something worth investigating.
We audited a token with chainAware Token Audit.
Honeypot Detection: PASS.
Buy and sell both pass.
Supply & Mint: PASS.
Ownership & Access: PASS.
But Liquidity & Pools: FAIL.
0% of the LP was locked, with the locker listed as unknown.
Try it out 👉 chainaware.ai/token-audit
GM builders!
The wallet connecting to your DApp isn’t just another address.
It has a history.
It may have interacted with mixers, phishing addresses, sanctioned addresses, or other risky activity. It may also have very little meaningful history at all.
ChainAware brings those signals together through wallet screening and behavioral fraud detection.
So DApps can make decisions with more context before a transaction takes place.
👉 chainaware.ai/blog/web3-frau…
GM Founders!
Two wallets can connect to the same DApp and tell completely different stories.
One is an experienced DeFi user.
Another is making their first swap.
The address is just an address.
ChainAware Web3 Personas looks at the behavior behind it, turning on-chain activity into a behavioral profile that DApps and AI agents can actually use.
Because treating every wallet like the same user means leaving useful context on the table.
👉 chainaware.ai/blog/what-are-…
“It’s a top 10,000 token. It’s probably safe.”
We tested that assumption. 12,998 contract audits across the top 10,000 CoinGecko tokens by market cap.
55.2% were classified High Risk.
131 were confirmed honeypots and 59 of those were on Ethereum.
Market cap rank tells you how big a token is. It doesn’t tell you whether its contract is safe.
Check any contract free, results in under 60 seconds.
👉 chainaware.ai/blog/token-aud…
An AI agent shows up with a wallet, a job to do, and details you have no reason to trust yet.
Before you interact with it, one thing matters. Is the wallet actually legitimate, and what history can you verify behind it?
ChainAware Agent Trust Score gives you that context.
We checked tambui.agent.
953/1000. Trusted. Wallet ownership verified.
Free to check any registered agent.
👉 chainaware.ai/agent-trust-sc…
Google Analytics can tell you a wallet showed up, clicked around, and left.
It can’t tell you whether that wallet was ever likely to transact in the first place.
That’s the gap Dapp teams can miss.
Traffic looks healthy. Wallet connections are up. Then the campaign fails to convert, and you start asking why.
ChainAware Behavioral Analytics looks at the wallet itself: experience, risk willingness, intent, and fraud probability.
Free starter plan. No code. Minutes to set up.
Web3 analytics needs to understand the wallet, not just the click.
👉 chainaware.ai/blog/chainawar…
What does an "experienced" wallet actually look like on-chain?
We ran one through ChainAware Reputation Score. 575 out of 1000. Perfect 100 on experience. Expert label. 21 protocols across 7 DeFi categories.
The score gives you the headline. The breakdown shows you why.
👉 chainaware.ai/reputation-sco…
GM Builders!
A wallet can look completely fine when it first connects to your Dapp.
That doesn’t mean it stays that way.
Wallet behavior changes. Risk changes. The signals around an address can change.
That’s why checking a wallet once isn’t the same as monitoring it.
ChainAware Transaction Monitoring continuously re-screens connected wallets and can alert your team when risk changes.
Security shouldn’t stop at the first connection.
👉 chainaware.ai/blog/chainawar…
AI agents can execute tasks.
But what happens when they need to make decisions about a wallet?
Should they trust it? Investigate it? Engage it? Retain it?
That requires more than an address and a transaction history.
ChainAware’s 32 Claude sub-agents give AI agents specialized ways to work with on-chain behavioral intelligence across Fraud Tech and Growth Tech.
Different agents. Different jobs. One goal: better decisions.
👉chainaware.ai/blog/chainawar…
GM Degens!
If your crypto wallet had a reputation score, would you want to see it?
Check yours with ChainAware Reputation Score
👉chainaware.ai/reputation-sco…
GM Degens!
If someone asked you to prove your wallet is trustworthy, what would you show them?
Your balance? Wallet age? Transaction history?
Useful signals, sure. But none of them tells the whole story.
ChainAware Reputation Score brings those signals together into a 0–1000 rating based on on-chain experience, risk capability, and trust.
One number. A clearer picture of the wallet.
Free to check 👉 chainaware.ai/reputation-sco…
You probably know your wallet balance.
You probably know your biggest bags.
But do you know your wallet’s Reputation Score?
ChainAware just launched it: a 0 to 1000 rating based on your on-chain experience, risk capability, and trust, with the reasoning behind your score.
Free to check 💯
Go see where you land.
👉 chainaware.ai/reputation-sco…
GM Degens!
Would your wallet score Trusted or High Risk?
Most people have no idea.
ChainAware Reputation Score gives any wallet a 0–1000 rating based on On-chain Experience, Risk Capability, and Trust.
Five tiers, from High Risk to Trusted.
Paste any address and see where it lands.
Check yours free.
👉 chainaware.ai/reputation-sco…
Every wallet looks the same until you actually score it.
ChainAware Reputation Score combines on-chain experience, risk capability, and trust into a single 0 to 1000 score, with five tiers from High Risk to Trusted.
Free to check. Live now.
Know who you’re dealing with before it matters.
👉 chainaware.ai/reputation-sco…