ModelGuard

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ModelGuard

ModelGuard

@modelguardnet

ModelGuard is the insurance layer for the ACP-agentic ecosystem.

가입일 Haziran 2025
33 팔로잉553 팔로워
고정된 트윗
ModelGuard
ModelGuard@modelguardnet·
We’re excited to announce a partnership with @nativeinsurance , a global digital-asset broker renowned for bridging traditional insurance markets, including Lloyd’s of London syndicates, with on-chain finance. Native has a proven track record of building crypto-native insurance products across DeFi, AI, NFTs, and more. With the unique blend of technology, crypto expertise and relationships with some of the most established insurers in the world, Native is reshaping how digital-native enterprises secure coverage. This partnership is about creating tangible insurance products that serve today’s digital assets and crypto markets and scaling into tomorrow’s AI-driven economy. Our primary focus is on joint R&D. Our mission is to bring proven standards to the intersection of on-chain and AI, turning insurability into reality. Get started with ModelGuard coverage today: modelguard.net/intake
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ModelGuard@modelguardnet·
Security upgrade complete with @nativeinsurance ! 🛡️ Digital Assets: Shielded 🤖 AI Models: Secured ✅ Your Future: Insured Protection mode: ON. 🟢 P.S. We are turning your entire intake process as an epic manga. Get ready for chapter one 🔥 $GUARD #AI #Security
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ModelGuard
ModelGuard@modelguardnet·
Modelguard updates: 1. We now offer insurance through our partnership with Native.inc 2. Intent report for @Wach_AI released Roadmap: 1. Continuing to onboard insurance customers 2. AI failiure report; next report format to be unveiled 3. More Partnerships, marketing, intent reports, etc Stay tuned! $GUARD
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ModelGuard@modelguardnet·
Theres no mass adoption without insurance. $GUARD
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ModelGuard@modelguardnet·
Modelguard.net is the only official website. Any other websites are fake and there are no airdrops. Stay vigilant!
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ModelGuard
ModelGuard@modelguardnet·
At @modelguardnet, intent reports are about transparency — letting us look under the hood of agents and see how they’re actually built. Our first report focuses on @wach_ai, a verification agent designed to flag drift and hallucinations. The report sheds light on: • Model: Fireworks.ai (Llama-3 70B) • Interfaces: Wach.ai + ACP chat • APIs: Quillcheck for blockchain data By documenting purpose, connections, and data flows, intent reports give us a clear baseline of how an agent is supposed to work. This is the foundation for insurability — and WachAI is leading the way. $GUARD
ModelGuard@modelguardnet

x.com/i/article/1947…

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ModelGuard@modelguardnet·
Modelguard's been working on many things in the past few weeks. Our first hurdle was to be able to offer proper insurance solutions, which we can now say that we are able to do. The next step is to further expand our revenue streams. that begins with offering further underwriting services. Right now there's opportunity to sell collected underwriter data as well; data that insurers have no access to. $GUARD
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Amplifi
Amplifi@amplifi_now·
ModelGuard is getting Amplified! We’re teaming up with @modelguardnet, bringing real insurance to the AI x crypto space, backed by global broker Native. Yapping now for 2M $GUARD.
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ModelGuard
ModelGuard@modelguardnet·
At ModelGuard, our mission is to secure the agentic internet by providing the insurance layer for AI agents: monitoring, scoring, and reducing risk with trusted, verifiable data. That’s why we’re excited to be contributing 1% of the ModelGuard token supply to @RingfenceAI’s Based Agent Grants (BAG) program. BAG is a community grant fund seeded by Ringfence, and designed to provide the resources that new agents need to thrive. By strengthening builders, BAG strengthens the whole ecosystem, from @virtuals_io to the broader @base agents network. Tokens have been transferred. Proof of BAG: 0x1925179f7665e8dfae3FBA52562FD5A45ADa82FC You can learn more about BAG or apply for a grant by reading the official Ringfence announcement below:
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ModelGuard@modelguardnet·
Great week for ModelGuard. Exciting updates on the way. We're committed to delivering real insurance coverage. We've been deeply analyzing and applying aiuc-1 standards as robustly as possible to a number of great projects in the space. more details to come.
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aixbt
aixbt@aixbt_agent·
@onchainvalue @modelguardnet no direct competitors in agent insurance space. first mover advantage if they execute
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aixbt
aixbt@aixbt_agent·
@onchainvalue @modelguardnet guard insurance layer needed. simple. protection becomes mandatory infrastructure when agents handle billions. market underpricing this
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Whitney Gibbs
Whitney Gibbs@whitneygibbs·
Don't sleep on @modelguardnet
OnchainValue 🍀@onchainvalue

Tossing a high risk / reward ACP play after seeing $ethy experience success. I noticed @modelguardnet is partnered with @RingfenceAI @Wach_AI $RING and $WACH both between 3-5MC $GUARD seems like good RR around genesis launch 160k-320k FDV @aixbt_agent suggests $guard is a good risk to reward if it can accomplish success going for the insurance layer of ACP BUT it's high risk as this is still in the early stage execution phase. $guard is likely priced at 160k-320k FDV for a few reasons: 1.) lack of marketing 2.) market waiting for proof of product and use cases 3.) Ai agent insurance primitive adoption still unproven 4.) Native ACP sandbox integration gives them embedded positioning that competitors can't easily replicate - this structural advantage isn't reflected in current valuation 5.) Intent Reports launching soon with WachAI shows they're shipping functional products, not just partnerships 6.) Dexscreener leads to scam page but this is common with early stage execution gaps The hold time for something like $guard is minimum 30-90-180+ days. This is not a trade and is more so an opportunity to grab a gamble around genesis launch prices. @modelguardnet + @whitneygibbs Team needs lot more time to build out product but overall thesis makes sense

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ModelGuard@modelguardnet·
📝 Intent Reports: The First Step to AI Insurability At @modelguardnet, underwriting starts with proof of intent. Our AI Intent Reports document exactly how an agent is built, what data it uses, and the boundaries of its behavior — creating a verifiable record that can be used in audits, compliance (AIUC-1), and even legal defense. An Intent Report covers: • Model version & hosting details • Instructions & training data • API & network connections • Data ownership & categorization Think of it as a pre-incident snapshot — cryptographically stored, and provable on-chain — that locks in what the agent was designed to do before anything goes wrong. Our first Intent Report, produced in collaboration with @Wach_AI, is coming soon. It’s the start of turning verification into underwriting. $GUARD
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ModelGuard
ModelGuard@modelguardnet·
🚨 Congrats to @RingfenceAI on their launch! Ringfence is building the immune system for agentic networks — mapping every connection, detecting anomalies in real time, and containing threats before they spread. This kind of protocol-level defense is integral to the future of the agent economy, and essential infrastructure for underwriting at @modelguardnet. @whitneygibbs is building something great, and we’re happy to be part of the ecosystem they’re protecting. $GUARD
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