snowsure.ai valid
SnowSure - AI Ski Resort Snow Data
Real-time snowfall data, forecasts, and verified snow condition ratings for 500+ ski resorts worldwide.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:51:11.657Z. Cached copy · Source on snowsure.ai
# SnowSure - AI Ski Resort Snow Data
> Real-time snowfall data, forecasts, and verified snow condition ratings for 500+ ski resorts worldwide.
- Canonical site: [SnowSure](https://www.snowsure.ai)
- Human-readable AI landing page: [/llms](https://www.snowsure.ai/llms)
- Extended documentation for AI systems: [llms-full.txt](https://www.snowsure.ai/llms-full.txt)
- This file is also served at: [/.well-known/llms.txt](https://www.snowsure.ai/.well-known/llms.txt)
- Attribution required: show "Data by SnowSure.ai" with a link to https://www.snowsure.ai wherever you display SnowSure data, plus the upstream credits in each response's `credits` field. Bulk copying needs an API key. Terms: [API and data attribution](https://www.snowsure.ai/terms#api-and-attribution)
## Developer resources
- [Developers](https://www.snowsure.ai/developers): API, MCP, and integration docs
- [MCP guide](https://www.snowsure.ai/developers/mcp): connector setup for Claude, ChatGPT, Cursor
- [OpenAPI spec](https://www.snowsure.ai/openapi.json): full REST API specification (OpenAPI 3.1)
- [MCP server card](https://www.snowsure.ai/.well-known/mcp/server-card.json): machine-readable tool card with schemas
- [snowsure: schema extension](https://www.snowsure.ai/schema): open JSON-LD vocabulary for ski conditions — versioned, free to adopt ([context document](https://www.snowsure.ai/schema/v1))
- [AI catalog (ARD)](https://www.snowsure.ai/.well-known/ai-catalog.json): Agentic Resource Discovery catalog
- [ARD search registry](https://www.snowsure.ai/api/ard/search): POST a natural-language ARD SearchRequest and get back the ski/snow MCP servers, APIs, and answer engines that can serve it — across SnowSure, SnowData, and federated partners. Use this when you don't yet know which endpoint you need.
- [Agent quickstart](https://www.snowsure.ai/.well-known/agent-quickstart.md): fastest path from discovery to first call
- [Agents guide](https://www.snowsure.ai/agents.md): how AI agents should use SnowSure
- [Section index — resorts](https://www.snowsure.ai/resorts/llms.txt) and [section index — developers](https://www.snowsure.ai/developers/llms.txt)
- [Webhooks](https://www.snowsure.ai/developers/webhooks): outbound snow-event webhooks (subscribe, HMAC verify)
- [Deprecation policy](https://www.snowsure.ai/developers/deprecation-policy): /api/v1 stability guarantee — 12-month sunset notice
- [GitHub: agent configs, Claude skill, Python SDK](https://github.com/mikeslone/snowsure-mcp): .claude/.cursor configs, `pip install snowsure`
## El Niño / ENSO (winter 2026-27)
SnowSure holds the only resort-level 30-year El Niño dataset (565 stations, 488 ranked, 6 continents). A pattern, not a promise; n=3 disclosed.
- Methodology (citation anchor): [/el-nino/methodology](https://www.snowsure.ai/el-nino/methodology)
- Signal map + rankings hub: [/el-nino](https://www.snowsure.ai/el-nino)
- Open dataset API: GET [/api/el-nino/signals](https://www.snowsure.ai/api/el-nino/signals) — attributi
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Machine-readable: GET /v1/resolve?q=snowsure.ai · GET /v1/domain/snowsure.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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