Blockchain Reputation Scoring

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
BlockchainReputationScoring	BlockchainReputationQueryParams	BlockchainReputationData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.blockchain_reputation_scoring import (
    BlockchainReputationScoring,
    BlockchainReputationQueryParams,
    BlockchainReputationData,
)

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Parameters

Name	Type	Description	Default	Optional
blockchain_name	Union[str, List[str]]	Blockchain(s) to evaluate for reputation scoring.	None	False
scoring_criteria	List[str]	Criteria for scoring (e.g., "Transaction Throughput," "Security Events").	None	True
time_horizon	int	Time window (in days) for analyzing reputation metrics.	30	True

---

Data

Name	Type	Description
blockchain_name	str	Name of the blockchain analyzed.
reputation_score	float	Overall reputation score (0-100).
scoring_breakdown	dict	Breakdown of scores by criteria (e.g., decentralization, security incidents).
flagged_events	List[str]	Significant events that negatively impacted reputation.
timestamp	datetime	Timestamp of the analysis.

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Key Features

• Multi-Criteria Scoring: Evaluates blockchains across multiple dimensions such as decentralization, security, and performance.

• Event-Based Reputation Impact: Highlights how specific events (e.g., downtime, hacks) affect reputation.

• Trend Monitoring: Tracks reputation changes over time to identify improvement or decline.