MCP For Claude Marketplace
Pricing Elasticity Analyzer

Pricing Elasticity Analyzer MCP Connector for Claude

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Calculate price elasticity of demand and identify optimal pricing strategies.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides advanced tools for analyzing how price changes affect consumer demand. Use calculate_elasticity_coefficient to determine if a product is elastic or inelastic, find_optimal_price to identify the revenue-maximizing price point, and project_revenue_impact to estimate financial outcomes. It also includes analyze_market_sensitivity to evaluate risks from competitive pricing and value perception.

pricingelasticityrevenuemarket-analysiseconomics

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

analyze_market_sensitivity

Evaluates how external market factors influence the stability of the current price

calculate_elasticity_coefficient

Determines the fundamental responsiveness of demand to price changes

find_optimal_price

Identifies the price point that maximizes revenue

project_revenue_impact

Estimates the financial gain or loss of a specific price change

See how to talk to your AI agent using Pricing Elasticity Analyzer.

Calculate the elasticity coefficient for a product where a 10% price increase led to a 20% volume decrease, with a current price of $50 and volume of 1000.

The elasticity coefficient is -2.0, indicating that the demand is elastic.

What would be the revenue impact if I raise my price from $10 to $12 for a product with a current volume of 500 and an elasticity coefficient of -1.5?

The new total revenue would be $540, resulting in a revenue change of -$10 compared to the original $500.

Find the optimal price for a product currently at $100 with 200 units sold, given price changes of [5, -5] and volume changes of [-10, 10], and a competitor price of $95.

The optimal price point is $98, which is expected to yield a higher revenue than the current price.

You can use the `find_optimal_price` tool. It analyzes historical price and volume changes to identify the price point that maximizes total revenue.

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