MCP For Claude Marketplace
PE AI Data Assets Valuation

PE AI Data Assets Valuation MCP Connector for Claude

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Estimate the economic and strategic worth of proprietary AI datasets.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for valuing proprietary data assets within AI organizations. It calculates the monetary worth of datasets by analyzing volume, uniqueness, quality, and commercial potential. Use calculate_asset_valuation to determine the base value and strategic contribution, analyze_lifecycle_decay to track value loss over time, assess_regulatory_impact to quantify legal risks in specific jurisdictions, and get_asset_tier_summary to categorize assets into strategic tiers like Core Strategic or Commodity.

data-valuationai-economicsasset-managementdata-lifecycleregulatory-compliance

4 tools expose this connector's capabilities to your AI agent.

analyze_lifecycle_decay

Determines how much value is lost over a specific period

assess_regulatory_impact

Quantifies the reduction in asset value caused by legal and compliance restrictions

calculate_asset_valuation

Provides the primary monetary estimate of a specific data asset

get_asset_tier_summary

Categorizes an asset into a strategic tier for portfolio management

See how to talk to your AI agent using PE AI Data Assets Valuation.

What is the estimated value of a 50TB dataset with a uniqueness score of 0.8, quality of 0.9, commercial potential of 0.7, moat strength of 0.8, and regulatory risk of 0.2?

The estimated asset value is €450,000 with a strategic value contribution of €120,000 and a depreciation rate of 15% per year.

How much value will a €1,000,000 dataset lose after 3 years if it has a 10% annual depreciation rate?

After 3 years, the current value is €729,000, resulting in a total loss of €271,000.

What tier does a dataset worth €500,000 with a moat strength of 0.9 fall into?

This dataset is classified as a Core Strategic asset.

The value is determined using `calculate_asset_valuation`, which processes data volume, uniqueness, quality, commercialization potential, moat strength, and regulatory risk.

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