Valuation frameworks for crypto assets
Toncoin inherits the Smart Contract Platforms / L1s & L2s model set.
Market cap: data pipeline not connected
Composite model-implied value
$46.6B Valuation gap -3%The asset page uses the model set assigned to its asset class.
Capitalizes fee generation using explicit multiple assumptions.
Core inputs
Fees and tokenholder capture are separate questions.
Frames fees relative to network value as a yield-like metric.
Core inputs
Yield language can overstate cash-flow similarity.
Compares network value with capital held in protocols or applications.
Core inputs
TVL is not revenue and may move quickly across chains.
Uses stablecoin supply and transfer activity as a settlement demand proxy.
Core inputs
Stablecoin activity can be application-specific and low margin.
Maps the capital and fees of major applications back to the base network.
Core inputs
Attribution between apps and base network is subjective.
Links active users, developers, and capital depth to network value.
Core inputs
Adoption quality matters more than raw activity counts.
Adjusts model value for staking participation and effective float.
Core inputs
Staked supply can re-enter markets under stress.
Evaluates the asset as a settlement and collateral layer for ecosystem activity.
Core inputs
Requires distinguishing economic settlement from mechanical transfers.
Current fundamental fields are static methodology categories, not live data.
Confidence scores are class-level method ratings, not asset guidance.
A local assumption shell for scenario sensitivity.
Scenario sensitivity
Static methodology preview. Changes here recompute a local scenario number only.
Planned data sources for the valuation architecture.
Static methodology preview. Live data pipeline planned. Not investment advice. The displayed model-implied value is an architecture test for assumption-led valuation.