Genpark Dynamic Repricing Skill
БесплатноНе проверенDynamic pricing and competitive repricer agent skill to monitor competitor prices, evaluate inventory velocity, and output Shopify price adjustments.
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
Install dependencies:
pip install -r requirements.txtConfiguration: 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"
- PowerShell:
💻 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-skillFAQ
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.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
MCP Servers Rating and User Reviews
Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent)
mkinf
An Open Source registry of hosted MCP Servers to accelerate AI agent workflows.
Compare Genpark Dynamic Repricing Skill with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
