| name | upstream-alert |
| description | Supply chain risk monitoring — check CPI, commodity prices, freight rates, trade data, and global news to assess risk for any commodity. Uses Yahoo Finance, FRED, Commodities-API, UN Comtrade, World Bank, NewsData, and Gemini AI. Covers 20 items across 8 categories (construction, energy, food, electronics, packaging, chemicals, textiles, electrical). Bring your own API keys (free tiers available). Trigger keywords: supply chain, risk, CPI, freight, import, export, trade, commodity, price trend, supply disruption, shipping cost, inflation, PMI, economic indicator.
|
| homepage | https://github.com/ImL1s/upstream-alert |
| metadata | {"openclaw":{"emoji":"🔍","primaryEnv":"GEMINI_API_KEY","requires":{"bins":["python3"],"env":["GEMINI_API_KEY"]},"install":[{"id":"upstream-alert-pip","kind":"pip","package":"upstream-alert","bins":["upstream-alert"],"label":"Install upstream-alert (pip)"}]}} |
upstream-alert — Supply Chain Risk Monitor
Supply chain risk monitoring engine for AI agents. Queries 7+ data sources to produce a risk score (0-100) with AI-generated analysis.
Prerequisites
- Python 3.10+
pip install upstream-alert- Set API keys as environment variables (see below)
Environment Variables
| Source | Env Var | Free Tier |
|---|
| Gemini AI (Analysis) | GEMINI_API_KEY | 15 RPM free |
| FRED (CPI/PPI/Commodity) | FRED_API_KEY | 120 req/min |
| Commodities-API (Realtime) | COMMODITIES_API_KEY | 100 req/month |
| UN Comtrade (Trade) | COMTRADE_API_KEY | 500 req/day |
| NewsData.io (News) | NEWSDATA_API_KEY | 200 req/day |
| Freightos FBX (Freight) | FBX_API_KEY | Paid ($119/mo) |
| Yahoo Finance (Futures) | None needed | Unlimited (daily: copper, aluminum, soybean, cotton, coffee) |
| World Bank (Indicators) | None needed | Unlimited |
💡 Start with just GEMINI_API_KEY. World Bank works without any key.
Supported Item Categories (20 items)
| Category | Examples |
|---|
| 建材 (Construction) | 鋼筋, 合板, 水泥 |
| 機電 (Electrical) | 電線電纜 |
| 能源 (Energy) | 柴油, 汽油, 天然氣 |
| 食品原料 (Food) | 黃豆, 麵粉, 棕櫚油, 砂糖, 咖啡豆 |
| 電子零件 (Electronics) | 晶片 MCU, 被動元件 |
| 包材 (Packaging) | 瓦楞紙箱, PE 膜 |
| 化工 (Chemicals) | 塑膠粒, 工業酒精 |
| 紡織 (Textiles) | 棉紗, 滌綸纖維 |
Usage
Quick risk check (CLI)
upstream-alert check "咖啡豆" --country TW
JSON output
upstream-alert check "semiconductor" --country US -j
Market pulse
upstream-alert pulse --country JP
Show configured sources
upstream-alert sources
Python API
from upstream_alert import check_risk
result = check_risk("coffee", country="US")
print(result.score, result.level, result.ai_summary)
OpenClaw script
python3 {baseDir}/scripts/check_risk.py "咖啡豆" TW
Script Protocol
Scripts in {baseDir}/scripts/ output JSON to stdout with exit code 0 on success, 1 on error.
{baseDir}/scripts/check_risk.py
Input: python3 {baseDir}/scripts/check_risk.py <item> [country_code]
Output: JSON with status, score, level, ai_summary, market_pulse, sources_used
When to Use This Skill
Use when the user asks about:
- Supply chain risks for a product or commodity
- Real-time commodity prices (metals, energy, food, textiles)
- Price trends (CPI, PPI, inflation)
- Shipping / freight cost trends
- Trade data for imports/exports
- Economic indicators for a country
- News analysis for supply chain disruptions
Trigger Keywords
supply chain, risk, CPI, freight, import, export, trade, commodity, price trend,
supply disruption, shipping cost, inflation, PMI, economic indicator, 供應鏈, 風險, commodity price
