# SnowSure - AI Ski Resort Snow Data
# https://www.snowsure.ai

## About SnowSure
SnowSure provides real-time snowfall data, forecasts, and AI-powered snow condition ratings for 500+ ski resorts worldwide. Our SnowSure Score uses machine learning to rate skiing conditions on a 0-100 scale, analyzing 7 weather models and 30 years of historical data.

## Quick Access for AI Assistants

### Primary API Endpoint (JSON)
GET https://www.snowsure.ai/api/v1/resorts
- Returns all resorts with current conditions and SnowSure scores
- Supports: ?limit=100&region=europe&sort=score

### Snow Report API
GET https://www.snowsure.ai/api/v1/snow-report
- Returns ranked resorts by snow conditions
- Sort options: snowsure, forecast, recent, depth

### Individual Resort
GET https://www.snowsure.ai/api/v1/resorts/{slug}
- Returns detailed resort info including multi-model forecasts
- Example: /api/v1/resorts/niseko-hanazono-resort

### AI-Optimized Data (Alternative)
GET https://www.snowsure.ai/api/snow-data
- Simplified format designed for AI consumption
- Includes natural language summary

### Text Format (AI-Readable)
GET https://www.snowsure.ai/api/snow-data?format=text
- Returns plain text summary, ideal for AI consumption

### Regional Data
GET https://www.snowsure.ai/api/v1/resorts?region=europe
GET https://www.snowsure.ai/api/v1/resorts?region=north-america
GET https://www.snowsure.ai/api/v1/resorts?region=asia
GET https://www.snowsure.ai/api/v1/resorts?region=oceania
GET https://www.snowsure.ai/api/v1/resorts?region=south-america

## 2026 Winter Olympics

SnowSure provides real-time snow conditions for all Milano Cortina 2026 Winter Olympics ski venues:

### Olympic Venues Page
https://www.snowsure.ai/olympics
- Live conditions for all 3 mountain venues
- Countdown to Opening Ceremony (February 6, 2026)
- Event schedule and venue information

### Olympic Ski Venues
1. **Cortina d'Ampezzo** - Alpine skiing (speed events), Curling
   - https://www.snowsure.ai/resorts/cortina-dampezzo
   - "Queen of the Dolomites" - hosted 1956 Olympics
   - Elevation: 1,224m - 2,930m

2. **Bormio** - Alpine skiing (downhill, combined), Para Alpine
   - https://www.snowsure.ai/resorts/bormio
   - Home to legendary Stelvio downhill course
   - Elevation: 1,225m - 3,012m (highest venue)

3. **Livigno** - Freestyle skiing, Snowboarding, Cross-Country
   - https://www.snowsure.ai/resorts/livigno
   - "Little Tibet" - snow-sure high altitude
   - Elevation: 1,816m - 2,797m

### Olympics API
GET https://www.snowsure.ai/api/v1/resorts?country=Italy
- Filter for Olympic venues: cortina-dampezzo, bormio, livigno

## Key URLs

### Interactive Snow Maps
- Global: https://www.snowsure.ai/map
- Alps: https://www.snowsure.ai/map/alps
- North America: https://www.snowsure.ai/map/north-america
- Japan: https://www.snowsure.ai/map/japan
- Scandinavia: https://www.snowsure.ai/map/scandinavia
- Rockies: https://www.snowsure.ai/map/rockies

### Main Pages
- Snow Report: https://www.snowsure.ai/snow-report
- All Resorts: https://www.snowsure.ai/resorts
- Journal/News: https://www.snowsure.ai/journal

## SnowSure Score Ratings
- 60-100: Outstanding - Exceptional powder conditions
- 50-59: Excellent - Great skiing conditions
- 40-49: Good - Good conditions, solid coverage
- 30-39: Solid - Decent conditions, reasonable coverage
- 20-29: Fair - Below average conditions
- 0-19: Limited - Minimal snow coverage

## Data Freshness
- Weather data: Updated every 5 minutes
- Snow forecasts: 7 weather models (ECMWF, GFS, GEM, JMA, ICON, Météo-France, Met Norway)
- SnowSure Scores: Recalculated hourly using AI

## Coverage
- 500+ ski resorts worldwide
- Regions: North America, Europe, Asia, Oceania, South America
- Countries: 40+ including USA, Canada, Japan, Switzerland, France, Austria, Italy, New Zealand, Chile, Argentina, Norway, Sweden

## MCP Server for AI Agents
For direct integration with AI assistants:
- NPM: npx snowsure-mcp-server
- GitHub: github.com/mikeslone/snowsure-web/tree/main/mcp-server

## OpenAPI Specification
Full API documentation: https://www.snowsure.ai/openapi.json

## Structured Data
All pages include JSON-LD structured data with:
- SkiResort schema
- DataFeed schema for snow reports
- Article schema for journal posts
- BreadcrumbList for navigation

## Example Queries for AI Assistants

When users ask about ski conditions, here are optimal API calls:

### "Where has the best snow right now?"
GET https://www.snowsure.ai/api/v1/snow-report?sort=snowsure&limit=10
→ Returns top 10 resorts by SnowSure Score

### "Which resorts got the most snow recently?"
GET https://www.snowsure.ai/api/v1/snow-report?sort=recent&limit=10
→ Returns resorts ranked by 24h/7d snowfall

### "What's the forecast for [resort name]?"
GET https://www.snowsure.ai/api/v1/resorts/{slug}
→ Returns 14-day multi-model forecast with AM/PM/Night breakdown

### "Best skiing in Japan/Europe/Colorado?"
GET https://www.snowsure.ai/api/v1/resorts?region=asia&sort=score
GET https://www.snowsure.ai/api/v1/resorts?region=europe&sort=score
GET https://www.snowsure.ai/api/v1/resorts?country=USA&sort=score

### "Compare [Resort A] vs [Resort B]"
Fetch both: /api/v1/resorts/{slug-a} and /api/v1/resorts/{slug-b}
Compare: snowSureScore, forecast.total14d, conditions.snowDepth

## Data Fields Explained

### SnowSure Score (0-100)
AI-calculated rating based on:
- Current snow depth (weighted by elevation)
- Recent snowfall (24h, 7d)
- 14-day forecast from 7 models
- 30-year historical averages
- Temperature and conditions

### Forecast Models
We aggregate 7 weather models for accuracy:
- ECMWF (European Centre) - Most accurate globally
- GFS (US Global Forecast System)
- GEM (Canadian)
- JMA (Japanese Meteorological Agency)
- ICON (German)
- Météo-France
- Met Norway (best for Scandinavia)

### Hourly Forecast Data
Each day includes real AM/PM/Night breakdown:
- AM: 6:00-11:59
- PM: 12:00-17:59  
- Night: 18:00-05:59

With actual hourly data (not estimated):
- Temperature high/low/average
- Feels-like temperature
- Wind speed and gusts
- Snowfall totals
- Humidity, cloud cover
- Freezing level

## Response Format Tips

For conversational AI responses, use:
- SnowSure rating names: Outstanding, Excellent, Good, Solid, Fair, Limited
- Always mention the forecast period (14 days)
- Include both metric (cm) and imperial (inches) when relevant
- Cite the number of weather models for credibility

## Contact
Website: https://www.snowsure.ai
Support: support@snowsure.ai
API Issues: developers@snowsure.ai