# genpark-autonomous-price-elasticity-optimizer-skill

> genpark-autonomous-price-elasticity-optimizer-skill — alphaparkinc-genpark-autonomous-price-elasticity-optimizer-skill. Use this tool when you need to optimize product pricing by calculating dynamic price elasticity of demand, deriving marginal revenue maxima to inform data-driven pricing decisions. It solves problems of revenue maximization, demand forecasting, and price sensitivity analysis, providing outputs such as optimal price points and revenue projections. Inputting demand and revenue data, users can leverage this skill to streamline pricing strategies and improve profitability.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-autonomous-price-elasticity-optimizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-autonomous-price-elasticity-optimizer-skill

## Description

Dynamic price elasticity of demand calculator deriving marginal revenue maxima

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-autonomous-price-elasticity-optimizer-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-autonomous-price-elasticity-optimizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-autonomous-price-elasticity-optimizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-autonomous-price-elasticity-optimizer-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
