Decentralized Validator Influence

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
ValidatorInfluenceAnalysis	ValidatorInfluenceQueryParams	ValidatorInfluenceData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.decentralized_validator_influence import (
    ValidatorInfluenceAnalysis,
    ValidatorInfluenceQueryParams,
    ValidatorInfluenceData,
)

---

Parameters

Name	Type	Description	Default	Optional
blockchain_name	str	Blockchain to analyze for validator influence (e.g., Ethereum, Polkadot).	None	False
influence_threshold	float	Minimum stake or voting power percentage to flag as influential.	5.0	True
include_historical	bool	Include historical validator influence trends.	True	True

---

Data

Name	Type	Description
blockchain_name	str	Name of the blockchain being analyzed.
validator_id	str	Unique identifier of the validator.
stake_percentage	float	Percentage of total network stake controlled by the validator.
influence_score	float	Influence score (0-100) for the validator.
timestamp	datetime	Timestamp of the analysis.

---

Key Features

• Stake-Based Influence Scoring: Evaluates validator influence using network stake percentage.

• Decentralization Metrics: Quantifies the distribution of validator power across the network.

• Historical Analysis: Tracks changes in validator influence over time to identify trends.