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Genpark Dynamic Repricing Skill

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Dynamic pricing and competitive repricer agent skill to monitor competitor prices, evaluate inventory velocity, and output Shopify price adjustments.

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Описание

Dynamic pricing and competitive repricer agent skill to monitor competitor prices, evaluate inventory velocity, and output Shopify price adjustments.

README

GenPark AI Agent Skill -- # Dynamic Pricing & Competitive Repricer Skill

This repository contains the Dynamic Pricing & Competitive Repricer Skill — a developer Python SDK client (repricer.py), an agent skill configuration interface (skill.json), and executable validation examples designed to monitor competitor product prices, evaluate inventory velocity, and output price adjustments to Shopify/Amazon APIs.


🚀 Capabilities

  • Active Competitor Monitoring: Detects in-stock competitors and triggers undercutting logic ($0.10 decrement) down to safety price floors.
  • Stockout Bidding Optimization: Identifies when competitors are out of stock and automatically increments pricing (+15%) to capture premium margins.
  • Inventory Run-Rate Pricing: Calculates when current sales velocity threatens early stockouts and lifts pricing (+10%) to optimize returns.

🛠️ Setup & Installation

  1. Install dependencies:

    pip install -r requirements.txt
    
  2. Configuration: Set your API environment variables if executing requests against the live production server (otherwise, client executes in mock mode):

    • PowerShell:
      $env:REPRICER_API_KEY="your_api_key"
      
    • bash:
      export REPRICER_API_KEY="your_api_key"
      

💻 SDK Usage Reference

from repricer import DynamicRepricerClient

# Initialize Client (mock mode by default)
client = DynamicRepricerClient()

# Recommend price based on active competitor and inventory parameters
repricing = client.calculate_new_price(
    current_price=45.00,
    min_floor=35.00,
    max_ceiling=65.00,
    competitor_prices=[{"price": 42.50, "in_stock": True}],
    inventory={"stock_level": 120, "daily_sales_velocity": 8.5}
)
print(f"New Price Recommendation: ${repricing['recommended_price']:.2f}")
print(f"Reasoning: {repricing['repricing_reason']}")

# Build Shopify update body payload draft
shopify_payload = client.build_shopify_payload("gid://shopify/ProductVariant/7492", repricing['recommended_price'])

📜 License

This project is licensed under the MIT License.

from github.com/alphaparkinc/genpark-dynamic-repricing-skill

Установка Genpark Dynamic Repricing Skill

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/alphaparkinc/genpark-dynamic-repricing-skill

FAQ

Genpark Dynamic Repricing Skill MCP бесплатный?

Да, Genpark Dynamic Repricing Skill MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Genpark Dynamic Repricing Skill?

Нет, Genpark Dynamic Repricing Skill работает без API-ключей и переменных окружения.

Genpark Dynamic Repricing Skill — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Genpark Dynamic Repricing Skill в Claude Desktop, Claude Code или Cursor?

Открой Genpark Dynamic Repricing Skill на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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