XRAY is a purpose-built data analytics platform for institutional cryptocurrency investors that transforms raw blockchain data into actionable insights. The platform addresses the critical challenge of inefficient data collection by providing standardized metrics, relative valuation capabilities, and cross-blockchain analysis tools, enabling analysts to focus on analysis rather than data gathering. It features comprehensive business performance interpretation, custom dashboard building, and quality-assured data accuracy across multiple blockchain networks.

XRAY Overview

XRAY's Advanced Digital Asset Analytics Platform

XRAY stands out as a sophisticated data interpretation layer specifically engineered for institutional cryptocurrency investors. The platform addresses a critical market need, as research shows analysts typically spend 72% of their time collecting data rather than performing actual analysis.

Comprehensive Data Integration and Standardization

XRAY's approach to data management goes beyond simple aggregation. The platform implements standardized frameworks and consistent metric definitions across multiple blockchain networks, ensuring that analysts can rely on accurate, comparable data points for their research. This standardization is particularly valuable for institutional investors who need to maintain consistent analysis methodologies across diverse digital assets.

Business Performance Interpretation Tools

One of XRAY's key differentiators is its ability to translate complex blockchain data into meaningful business performance metrics. The platform provides:

  • Relative valuation frameworks for comparing digital assets
  • Standardized business performance indicators
  • Cross-chain analysis capabilities
  • Custom dashboard creation tools

Institutional-Grade Analysis Framework

The platform's architecture is specifically designed for professional analysts and institutional investors, featuring:

  • Quality-assured data accuracy
  • Multiple blockchain network support
  • Customizable metric definitions
  • Advanced dashboard building capabilities

Professional Team Background

XRAY's development is backed by a team with extensive experience from leading financial and technology companies including:

  • Paytm
  • Barclays
  • Coinswitch
  • Unocoin
  • Ola Electric

This diverse expertise combines traditional financial knowledge with blockchain technology understanding, ensuring the platform meets institutional standards.

Data Quality and Accuracy Focus

XRAY prioritizes data quality over quantity, addressing common industry challenges such as:

  • Inconsistent data definitions
  • Reliance on directional metrics
  • Quality issues from multiple sources
  • Lack of standardized frameworks

Integration and Implementation

The platform offers seamless integration capabilities for institutional workflows:

  • Custom dashboard creation
  • Flexible data visualization tools
  • Cross-platform compatibility
  • Secure API access

XRAY for Professional Analysis

The platform empowers analysts with:

  • Time-saving data collection automation
  • Standardized analysis frameworks
  • Cross-chain comparative analysis
  • Custom reporting capabilities

XRAY Pricing

Enterprise

--

/ custom

Features:

  • Access to all blockchain networks and protocols
  • Custom dashboard creation and management
  • Advanced data interpretation and analytics tools
  • Cross-chain analysis capabilities
  • Relative valuation frameworks
  • Business performance metrics
  • Standardized metric definitions
  • Real-time data updates
  • Custom metric creation
  • API access for data integration
  • Dedicated account management
  • Priority technical support
  • Custom implementation assistance
  • Data quality assurance
  • Security compliance features

Limits:

  • Custom pricing based on organization size and needs
  • Usage limits determined by contract
  • API rate limits based on service level
  • Data retention period as per agreement
  • Number of user seats based on contract
  • Custom SLA terms
  • Implementation timeline varies by requirements

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