INSURANCE POOLS & COVERAGE
Independent, data-driven risk pool analytics you can trust
Insurance Underwriting Ratings
We underwrite agent risk by modeling performance, failure modes, and resilience metrics with high-integrity data so we can price policies accurately and allocate pool reserves effectively.
Token-Driven Underwriting Participation
Stake our native token to join underwriting pools and unlock tiered coverage backed by our ACP-compatible insurance layer.
Dynamic Coverage Monitoring & Alerts
Get real-time risk score updates, claim-trigger alerts, and exposure analytics enabling automated coverage adjustments and proactive pool management.
WHY WE UNDERWRITE
The problem: Everyone claims their AI agent is bulletproof, but who's underwriting that promise?
We're the independent watchdog providing objective ratings and real data so you can make informed decisions about AI agents before putting your money on the line.
Critical Questions We Answer
We cut through hype with verifiable data. Here are the core criteria that we collect to evaluate coverage:
What's the agent's exposure profile?
In which operational environments will it run, and what types of losses (financial, reputational, safety) could arise?
What historical performance and incident data exist?
Are there logs of past failures, security breaches, misclassifications or downtime that let us quantify frequency and severity?
What risk controls and governance are in place?
Does the agent have real-time monitoring, fallback protocols, audit trails or third-party validation to mitigate emerging threats?
How is coverage funded and sustained?
What capital reserves, tokenomic staking mechanisms or reinsurance arrangements back the pool so we can ensure claims-paying capacity?
Bottom line: In a world of AI agent promises, we provide the data you need to separate the game-changers from the pretenders.
INSURANCE LAYER ROADMAP
From concept to full ecosystem deployment - here's how we're building the future of AI agent insurance
Agent Insurance Data Development
Build the data and analytics of insurance ecosystem through agent rating products.
- Virtual Genesis project ratings
- Virtuals agent rating system
- Virtuals agent continuous quality assessments
Data Partnerships & ACP Expansion
Partner with data providers and expand ACP coverage for richer insights.
- Enrich datasets for risk models
- Normalize incident logs & metrics
- Integrate additional verified data
Insurance Pilot Program
Co-create bespoke policies with select agents to validate models.
- Underwrite pilot offerings
- Validate predictive accuracy
- Gather feedback on scenarios
Select Agent Ecosystem Launch
Deploy tailored insurance offerings and onboard enterprise testers.
- Targeted partnerships for pool participation
- Iterate coverage terms
Ready to be part of the journey? Follow our progress as we build the essential infrastructure for AI agent insurance.
Track Our ProgressCOMMUNITY LEADERBOARD
Top contributors to the ModelGuard ecosystem
| # | User | Points | Status |
|---|---|---|---|
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1
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@bigwil2k3
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5,686.319
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Premium
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2
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@PlaceholderKey
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1,360.324
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Active
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3
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@catsfanatic0g
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896.515
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Active
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4
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@xFactorSOL
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759.385
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Active
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5
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@ZaggyGoKrazy
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547.95
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Active
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6
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@readnrest0
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380.433
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Active
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7
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@goon_crypto
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379.18
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Active
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8
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@aumeiqq
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283.697
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Active
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9
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@arbusai
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259.929
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Active
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10
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@_benama_
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242.4
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Active
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11
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@BullzOverBearz
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241.98
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Active
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12
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@NavidSbt
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189.248
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Active
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13
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@chadt43
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183.636
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Active
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14
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@0xVanxyrus
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134.856
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Active
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15
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@BobOrinate89988
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108.669
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Active
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16
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@zero_chance009
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99.198
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Active
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17
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@mrjobco_finder
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80.453
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Active
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18
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@Qidoxa
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80.01
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Active
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19
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@kakashi_sui
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79.688
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Active
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20
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@meomeo1107
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75.436
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Active
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21
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@xGuineapig
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63.709
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Active
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22
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@tom1k_on
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63.228
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Active
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23
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@batmanisherek
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62.687
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Active
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24
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@AskTianAI
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62.273
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Active
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25
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@SamWagmi
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62.188
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Active
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26
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@Strongest_Goat
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61.183
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Active
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27
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@PredX_AI
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59.767
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Active
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28
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@akashroy78
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53.321
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Active
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29
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@Hoabuconcac
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49.673
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Active
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30
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@Web3Alerts
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44.677
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Active
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31
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@Salmanwastra
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44.661
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Active
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32
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@TaeseungYu44377
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44.556
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Active
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33
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@doubtmeharder
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44.254
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Active
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34
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@amplifi_now
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42.1
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Active
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35
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@SteeTweets
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41.607
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Active
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36
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@twix4us
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41.199
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Active
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37
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@anon666_704
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41.013
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Active
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38
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@soundboipicasso
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40.553
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Active
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39
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@babygirljasz1
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40.4
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Active
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40
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@bolajidavid74
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37.3
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Active
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41
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@ToniBoiBoi
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35.554
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Active
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42
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@CryptoMercy01
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33.824
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Active
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43
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@Crypto_Zh0u
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31.6
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Active
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44
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@esper1971
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29.238
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Active
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45
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@Triple_Yap
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28.8
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Active
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46
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@Ken_ny6202
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27.872
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Active
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47
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@opus_zhen
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24.432
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Active
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48
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@adam_songjam
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22.926
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Active
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49
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@soliieth
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22.676
|
Active
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50
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@Radeeonx
|
20.2
|
Active
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Showing 50 of 120 users • Updated every 4 hours
Last updated: 7/18/2025, 10:43:26 AM
Revenue Strategy
From the outset, ModelGuard aims to generate sustainable income through its native token and value-added services. Our product offerings will include:
- Premium Virtual genesis launch assessments (for KOLs and early adopters).
- Continuous, in-depth quality assessment subscriptions for AI agents.
- User-facing quality assessment reports and insights.
- Comprehensive risk assessments for enterprise and institutional clients.
Our expansion strategy begins within the Virtuals ecosystem, subsequently broadening to all web3 agents, and ultimately extending to the web2 agent landscape.