Valuation frameworks for crypto assets

RENDER Valuation

Render inherits the Oracles, Data & Infrastructure model set.

Static methodology preview. Live data pipeline planned. Not investment advice.

RENDER Data Infrastructure Static methodology preview

Render

Market cap: data pipeline not connected

Composite model-implied value

$58.1B Valuation gap 14%

Model Cards

The asset page uses the model set assigned to its asset class.

Security demand

Secured Value Multiple

Relates token value to economic value secured or serviced by the network.

Model-implied value method Applies a secured-value multiple to verified secured value.

Core inputs

secured valueservice tierintegration quality

Secured value should not be treated as revenue.

Usage demand

Request / Usage Multiple

Capitalizes requests, jobs, or usage units where they are economically meaningful.

Model-implied value method Applies a usage multiple to monetizable demand.

Core inputs

requestsusage unitsmonetization rate

Usage must be filtered for incentives and non-economic calls.

Revenue

Revenue Multiple

Applies a revenue multiple to network or protocol revenue.

Model-implied value method Capitalizes annualized revenue with scenario multiples.

Core inputs

annualized revenuemultiple rangemargin quality

Revenue comparability varies materially by asset class.

Network breadth

Integration Network Score

Scores integrations, distribution, and service criticality.

Model-implied value method Uses an integration score as a confidence modifier.

Core inputs

integrationscriticalityretentionswitching cost

Integration count alone can overstate network value.

Security collateral

Staking / Security Collateral

Evaluates staking collateral and its role in service assurance.

Model-implied value method Adjusts model ranges for collateral depth and security requirements.

Core inputs

staked valueservice riskslashing design

Collateral depth is only useful if tied to real service demand.

Fundamentals Panel

Current fundamental fields are static methodology categories, not live data.

Data completeness 65/100

Method confidence 50/100

Tokenholder capture Partial

Fundamental evidence score 64/100

secured valueusageintegrationscollateral

Method Rating Panel

Confidence scores are class-level method ratings, not asset guidance.

Medium confidence

59/100

Usage and integration evidence

Integrations matter most when they show recurring economic demand.

Low confidence

52/100

Security collateral evidence

Collateral and staking are useful only when linked to service assurance.

Scenario Simulator

A local assumption shell for scenario sensitivity.

Scenario sensitivity

Infrastructure scenario

Model-implied FDV $16.0B

secured value bn 80 usage revenue bn 0.6 integration score 68 revenue multiple x 16

Static methodology preview. Changes here recompute a local scenario number only.

Source Trail

Planned data sources for the valuation architecture.

CoinGecko

price, market cap, FDV, supply, and volume

Source

DefiLlama

TVL, fees, revenue, and DeFi volumes

Source

Coin Metrics

BTC-style realized cap, MVRV, and network metrics

Source

Dune or manual source trails

custom on-chain datasets and methodology notes

Source

Static methodology preview. Live data pipeline planned. Not investment advice. The displayed model-implied value is an architecture test for assumption-led valuation.