On-Chain Governance Metrics

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
GovernanceMetrics	GovernanceQueryParams	GovernanceData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.on_chain_governance_metrics import (
    GovernanceMetrics,
    GovernanceQueryParams,
    GovernanceData,
)

---

Parameters

Name	Type	Description	Default	Optional
protocol_name	str	Name of the protocol being analyzed (e.g., MakerDAO, Aave).	None	False
voting_activity	bool	Whether to include detailed voting activity data.	False	True
voter_class	str	Class of voters to track (e.g., "Whales," "DAOs").	None	True

---

Data

Name	Type	Description
protocol_name	str	Name of the protocol being analyzed.
active_proposals	int	Number of governance proposals currently open.
voter_distribution	dict	Breakdown of voting power across voter classes.
proposal_success_rate	float	Percentage of successful governance proposals historically.
timestamp	datetime	Timestamp of the governance analysis.

---

Key Features

• Voter Influence Mapping: Visualize how voting power is distributed among whales, DAOs, and other participants.

• Proposal Success Analytics: Track success rates and common traits of passed proposals.

• Governance Centralization Detection: Highlight protocols with governance dominated by a few entities.