ModelGuard ($GUARD)
Recent developments:
15% of the initial token allocation is held by the creator.
Creator token stats last updated: Jun 26, 2025 00:59
The following is generated by an LLM:
Summary
AI agent insurance infrastructure with risk assessment and data-driven underwriting
Analysis
ModelGuard ($GUARD) presents a specialized solution for AI agent insurance infrastructure - a novel concept that fills a gap in decentralized ecosystems. The team shows relevant experience with Lucas' security/AI background and DeFiSafety's technical partnership. Founders hold 15% (150M tokens), aligning incentives without excessive control. Tokenomics include reasonable allocations: 20% community incentives, 10% early investors, 5% growth initiatives, with detailed vesting schedules (1-2 years linear unlocks). The project's success heavily depends on data accuracy and ecosystem adoption - their phased approach (from ratings to full insurance products) shows logical progression but carries execution risk. While the token is needed for governance/insurance pool mechanics, reliance on partnerships and AI adoption creates market dependency. Security focus is strong, but prototype-stage status and unproven revenue models make this speculative.
Rating: 7
Generated with LLM: deepseek/deepseek-r1
LLM responses last updated: Jun 26, 2025 01:00
Original investment data:
# ModelGuard ($GUARD)
URL on launchpad: https://app.virtuals.io/geneses/6179
Launched at: Thu, 26 Jun 2025 00:29:34 GMT
Launched through the launchpad: Virtuals Protocol
Launch status: GENESIS
## Token details and tokenomics
Token symbol: $GUARD
Token supply: 1 billion
Creator initial number of tokens: Creator initial number of tokens: 150,000,000 (15% of token supply)
## Creator info
Creator address: 0x2F05B70D0F866db16F5aaE79428f793467F7be64
Creator on basescan.org: https://basescan.org/address/0x2F05B70D0F866db16F5aaE79428f793467F7be64#asset-tokens
Creator on virtuals.io: https://app.virtuals.io/profile/0x2F05B70D0F866db16F5aaE79428f793467F7be64
Creator on zerion.io: https://app.zerion.io/0x2F05B70D0F866db16F5aaE79428f793467F7be64/overview
Creator on debank.com: https://debank.com/profile/0x2F05B70D0F866db16F5aaE79428f793467F7be64
## Description at launch
ModelGuard is building the data infrastructure that will power insurance in the agentic ecosystem. This includes everything from policy structures and risk pool mechanics to real-time monitoring of covered events. Our AI agent will automate insurance offerings by ingesting and scoring large volumes of data from diverse providers. While doing this, it will generate revenue and build a robust data pool, backed by a decade of experience evaluating DeFi projects through DeFiSafety.
## Overview
# ModelGuard
ModelGuard is laying the foundation for insuring AI agents. Before offering full coverage, we’re answering essential questions: What can go wrong with agents? What are the impacts of those failures? How do we price risk with confidence?
The answers are grounded in hard data, not speculation. Without this base layer of trusted, structured information, there’s no path to credible insurance. That’s what ModelGuard is here to fix.
We’re also addressing a second problem: how do you know if an agent is genuinely reliable? Can it be manipulated by third parties? Can it withstand hostile actors?
These questions are critical to both users and developers—but you can’t rely on the companies deploying agents to give you unbiased answers. That’s why ModelGuard exists. We provide the third-party intelligence layer that the agent economy is missing.
## **What Does This Agent Do?**
The ModelGuard agent continuously collects, rates, and monitors the performance and behavior of AI agents. It:
* Aggregates data from multiple public and private sources
* Assesses agent reliability, consistency, and performance history
* Detects anomalies and adversarial behavior in real time
* Scores each agent using transparent, repeatable criteria
* Updates scores dynamically as new data comes in
* Publishes assessments that inform users, stakers, and insurers
* Supports pricing models for community-driven insurance pools
This creates a feedback loop: the better the data, the more accurate the risk models. And the more accurate the models, the stronger the foundation for sustainable, decentralized insurance.
## **Phases**
**Phase 1**
Launch a fully autonomous agent rating and monitoring system within the Virtuals ecosystem. Ratings will update in real time.
**Phase 2**
Partner and integrate with as many different defi agents as possible.
**Phase 3**
Use our growing dataset to offer pilot insurance policies to select AI agent partners.
**Phase 4**
Launch full-scale insurance products through ecosystem partnerships.
## **Team**
**Lucas**
Founder with over 5 years in AI and security. Previously built automated security tools at DeFiSafety and Secret. Founder of three startups.
**DeFiSafety**
Acting as consultants and contractors. This expert team will help design the logic behind our agents and contribute to key technical decisions.
**Lena**
UX Designer
**Max**
CEO of a large webdev firm, 7+ years in crypto
## Additional information extracted from relevant pages
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Investment info last updated: Jun 26, 2025 01:00