Research mode

Missing data is shown explicitly. Forecasts and promotional claims stay separated from verified facts.

Viewer mode
Admin login

Token profile

Virtuals Protocol (VIRTUAL)

An AI-narrative token where measurable adoption, real revenue, and supply discipline must separate signal from beta.

Needs deeper validation

Overview

Virtuals Protocol · Base · AI and AI agents. Websites and governance links are included for direct source review.

MetricValueEvidence
Market capitalization
$650,000,000neutral
Illustrative seed
Open source
example-seed
Confidence: medium

Illustrative seed example. Not live market data; verify against current sources before acting.

Overall score

25.7

/ 100

Needs deeper validation

Confidence

97%

Missing-data penalty

-0.0

Data-age penalty

-3.0

Penalties

1

Revenue and revenue growth

Rewards durable fee generation, growth, and quality while discounting incentive-dependent revenue.

6.5 / 15

Token-holder value capture

Measures whether protocol success translates into token demand, buybacks, burns, or revenue sharing.

3.0 / 15

Net buyback yield

Separates gross buyback narratives from net sellable supply after emissions, unlocks, and incentives.

7.6 / 15

User and volume growth

Rewards adoption, transaction activity, and share gains rather than isolated token marketing.

1.9 / 10

Utility

Measures whether the token is genuinely required for access, collateral, governance, or economic participation.

4.9 / 10

Supply quality

Rewards healthier float and lockups while penalizing aggressive unlocks and concentration.

4.1 / 10

Relative valuation

Compares valuation against peers on revenue, fees, TVL, and user monetization.

4.0 / 10

Liquidity and exitability

A high score requires enough volume and depth to enter or exit size without severe slippage.

6.6 / 10

Competitive moat

Captures network effects, switching costs, distribution, and structural advantages.

2.2 / 5

Applied penalties

  • Buybacks smaller than emissions: -12 points. Gross token demand is offset by larger new sellable supply.

Four-quadrant tokenomics

Utility, locking, buybacks, and burns all require evidence, not just charts.

Utility: 4.9 / 10

Utility may exist, but the current proof level is limited.

Demand should be measured, not assumed from narrative momentum.

Locking and loyalty: 3.7 / 10

Loyalty is less proven than attention.

The research team should track retention over hype.

Buybacks: 2.2 / 10

Buybacks are not the core part of the current thesis.

The token case needs more than social traction.

Burns and scarcity: 2.9 / 10

Scarcity without demand is not enough.

Scarcity scores stay low until demand is real.

Net token flow

Gross demand and sellable supply remain separated across low, base, and high cases.

ScenarioGross buying pressureNew sellable supplyNet token flowNet buyback yield
low$2,400,000.00$21,600,000.00-$19,200,000.00-2.95%
base$3,000,000.00$18,000,000.00-$15,000,000.00-2.31%
high$3,600,000.00$14,400,000.00-$10,800,000.00-1.66%

Protocol fundamentals

Measures whether the underlying protocol is succeeding.

MetricValueEvidence
Narrative strength
Highpositive
Seed research
Open source
example-seed
Confidence: medium

Illustrative seed example. Not live market data; verify against current sources before acting.

Token fundamentals

Measures whether protocol success benefits the token itself.

MetricValueEvidence
Required token demand
Needs stronger proofcaution
Seed research
Open source
example-seed
Confidence: medium

Illustrative seed example. Not live market data; verify against current sources before acting.

Supply analysis

Float, unlocks, concentration, and future sell pressure matter directly to token quality.

MetricValueEvidence
Supply quality
Mixedcaution
Seed research
Open source
example-seed
Confidence: medium

Illustrative seed example. Not live market data; verify against current sources before acting.

Value capture, liquidity, and valuation

Direct cash-flow alignment is weighed against exitability and price paid.

MetricValueEvidence
Value capture
Early and not fully verifiedcaution
Seed research
Open source
example-seed
Confidence: medium

Illustrative seed example. Not live market data; verify against current sources before acting.

MetricValueEvidence
Exitability rating
5.4 / 10caution
Internal model
Open source
example-seed
Confidence: medium

Illustrative seed example. Not live market data; verify against current sources before acting.

MetricValueEvidence
Relative valuation
Narrative premiumnegative
Internal model
Open source
example-seed
Confidence: medium

Illustrative seed example. Not live market data; verify against current sources before acting.

Score history

Historical scores help show whether the thesis is strengthening or weakening.

Revenue versus price

Price and protocol usage should be inspected together.

Buybacks versus emissions

Gross positives can be cancelled by larger supply expansion.

Catalysts

Potential demand or thesis-improvement events.

CatalystDateToneWhy it matters
Agent product release cadence2026-08-12positiveNeeds to translate into measurable adoption, not just social attention.

Risks

High-conviction research includes explicit invalidation and structural risk handling.

RiskSeveritySummary
Narrative riskhighAI narratives can outrun durable fundamentals quickly.

Claims and evidence

Claims remain separate from verified data until independently confirmed.

No special seeded claims for this token yet.

Research conclusion
Bull case: The project proves real usage and monetization while the market still treats it as a speculative narrative. Base case: A promising narrative with incomplete proof of durable token-holder value capture. Bear case: Attention fades faster than fundamentals mature. Invalidation: No durable usage, revenue, or token-demand evidence emerges. Required evidence: Verified users, revenue quality, emissions path, and liquidity through volatility.