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6,000+ protocols. Only 12 growing TVL and revenue in Q2. That's 0.2%.

Same KOLs. Same airdrops. Same generic onboarding. Same outcome.

Same marketing + different expectations = still 0.2%.

Want a different outcome? Try Growth Agents.

πŸ‘‰ https://x.com/ChainAware/status/2070860490406814043
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GM Degens!

Before you ape into your next token, one question.

What if you could see exactly who was holding it before you bought?

Not how many wallets. Who.

Their experience level. Their risk profile. Whether they hold through volatility or dump the second things go red.

That’s what ChainAware TokenRank shows you. Free.

πŸ‘‰ chainaware.ai/tokenrank

https://x.com/ChainAware/status/2071759960392835111
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Most people think fraud prevention and growth are opposite problems.

They’re not. They’re the same question asked twice.

Can we trust this wallet? Now that we can, how do we convert it?

ChainAware built 32 agents to answer both. 17 Fraud Tech. 15 Growth Tech. One behavioral intelligence layer underneath all of them.

πŸ‘‰ chainaware.ai/blog/chainaware-32-claude-sub-agents-fraud-tech-growth-tech-agentic-economy

https://x.com/ChainAware/status/2072138989381800435
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GM Builders!

Why does your AI agent send the same onboarding flow to every wallet that connects?

Because it has no way to know the difference between a first-time user and someone with 3,000 transactions across six years of DeFi.

ChainAware Prediction MCP gives it that difference in under 200ms.

πŸ‘‰https://
github.com/ChainAware/beh
avioral-prediction-mcp

https://x.com/ChainAware/status/2073171698896064924?s=20

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$822,350,515.

That’s how much has been extracted from retail investors through rug pulls on PancakeSwap and Uniswap in 25 weeks.

Week 25 alone: $64,404,228. 10,274 confirmed events. Creators added $139.9M as bait. They removed $204.3M on the way out.

This is only the first half of 2026.

Check any pool before you invest with ChainAware Rug pull Detector. Free. 90.1% accuracy.

πŸ‘‰ https://chainaware.ai/blog/topics/news

https://x.com/chainaware/status/2073511996213936391
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$822,350,515.

That’s how much has been extracted from retail investors through rug pulls on PancakeSwap and Uniswap in 25 weeks.

Week 25 alone: $64,404,228. 10,274 confirmed events. Creators added $139.9M as bait. They removed $204.3M on the way out.

This is only the first half of 2026.

Check any pool before you invest with ChainAware Rug pull Detector. Free. 90.1% accuracy.

πŸ‘‰ https://chainaware.ai/blog/topics/news

https://x.com/chainaware/status/2073511996213936391
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How long does it take your AI agent to know who it’s talking to?

With ChainAware Prediction MCP, under 200ms.

Without it, never. It responds to a wallet address with no behavioral context, no fraud check, no experience level, no predicted intentions. Just text going into a void.

πŸ‘‰ github.com/ChainAware/behavioral-prediction-mcp

https://x.com/ChainAware/status/2074581072168247574
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Web3 lost $4B to fraud and hacks in 2025.

57.8% of those losses weren’t caused by smart contract vulnerabilities.

They came from the wallets and systems operating around the contracts.

Most DApps never screened the wallet connecting to them.

ChainAware answers the question most DApps never ask:

Who just connected?

πŸ‘‰ https://chainaware.ai/blog/web3-fraud-detection-for-dapps

https://x.com/ChainAware/status/2075044726277918859
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Raw blockchain data tells your agent what a wallet address did on-chain.

It cannot tell your agent whether that wallet is about to commit fraud.

It cannot tell your agent what kind of DeFi user they are.

It cannot tell your agent what they will do next.

ChainAware answers all three before your agent says a word.

πŸ‘‰ chainaware.ai/blog/blockchain-data-providers-ai-agents-wallet-data-2026

https://x.com/ChainAware/status/2076148682148184412
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GM Founders!

Every wallet that connects to your DeFi protocol sees the same interface.

The whale lender. The first-time swapper. The aggressive leverage trader. The conservative stablecoin holder.

Same TVL leaderboard. Same featured pools. Same generic APY table.

ChainAware Prediction MCP returns each wallet’s full behavioral profile the moment it connects. Your protocol personalizes the experience before they’ve even scrolled.

73% of consumers expect personalized experiences. In DeFi, almost nobody delivers them.

πŸ‘‰ chainaware.ai/blog/top-5-ways-prediction-mcp-will-turbocharge-your-defi-platform

https://x.com/ChainAware/status/2076814479837348295
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238,255 AI agents are registered on-chain right now.

More than 36,000 of them carry a High Risk flag.

Nobody was checking. Until now.

Something new is coming to ChainAware πŸ‘€

πŸ‘‰https://x.com/ChainAware/status/2077027083067195432
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πŸ₯°44πŸ”₯40πŸ’―36πŸ‘32πŸŽ‰27
🚨 We just launched something the agentic economy has been missing.


Agent Trust Score is live πŸ”₯

238,255 ERC-8004 AI agents are registered on-chain right now. Most protocols interacting with them have no idea who controls them, who funded them, or what they’ve done before.

Agent Trust Score fixes that.
Every AI agent gets a score from 0 to 1000 built from three trust signals no other platform evaluates together:

πŸ”Ή The owner wallet. Who actually controls the agent, not just who registered it.
πŸ”Ή The feeder address. Who funded the owner. A fraud operator can create a clean wallet overnight. They cannot create a clean funding history.
πŸ”Ή The criminal record. One confirmed rug pull or honeypot in the owner’s history caps the score permanently.

238,255 agents already indexed across 8 chains. 36,409 flagged High Risk before a single protocol asked.

The agentic economy is moving faster than its trust infrastructure.

Today, Agent Trust Score closes that gap.
πŸ‘‰ chainaware.ai/agent-trust-score
πŸ‘32πŸŽ‰31❀30πŸ‘27πŸ”₯27
Verified doesn't always mean trustworthy.

We ran Ave.ai Trading Agent on BNB Chain through ChainAware's Agent Trust Score.

Here's what the registry shows:
βœ… Verified wallet
βœ… Active agent
βœ… ERC-8004 registered

Here's what the on-chain data shows:
β€’ Agent Trust Score: 277/1000 (Elevated Risk)
β€’ On-chain experience: 0/100
β€’ Risk capability: 22.22/100
β€’ Fraud probability: 51.41%

At first glance, everything looks fine.

But the on-chain history tells a different story.

That's the difference between checking a registry and understanding the risk before you interact with an agent.

πŸ‘‰ https://chainaware.ai/agent-trust-score

https://x.com/ChainAware/status/2077782994203357621
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Every AI agent looks the same when all you see is a wallet address.

What you can’t see is:
β€’ Who controls it
β€’ Who funded it
β€’ Whether it’s linked to rug pulls or honeypots

That’s what Agent Trust Score checks before a single transaction executes.

It evaluates:
β€’ Owner behavior
β€’ Feeder address
β€’ Criminal history

So access decisions can be based on on-chain evidence, not assumptions.
πŸ‘‰ chainaware.ai/blog/agent-trust-score-agentic-commerce

https://x.com/ChainAware/status/2078163183869600032
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GM Founders πŸ‘‹

Would you let a stranger interact with your protocol without knowing who controls them, who funded them, or what they’ve done before?

Yet that’s the decision many protocols make when an AI agent shows up with nothing more than a wallet address.

Agent Trust Score gives you more context before you decide.

One score. One clear trust tier.

πŸ‘‰ https://chainaware.ai/agent-trust-score

https://x.com/ChainAware/status/2078977722202640769
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