Season leaderboard by place

Rank resorts by how a season actually went, scoped to a place. This is the tool for "which <place> resort had the most <metric> last season" — the single most c

liveunknown~5s typical

mcpsnowsure—snow

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-snowsure-snow /get_season_leaderboard for me.

Input

Field	Type	Description
metric	string (snow_days \| total_cm \| powder_days \| bluebird_days \| max_storm \| peak_depth)	What to rank by. max_storm = biggest single 24-hour snowfall of the season.
season	string	Season to rank. Accepts a year (2025), a label ("2025-26"), the ending year (2026), or "la
hemisphere	string (nh \| sh)	Northern (nh, default) or southern (sh) hemisphere season.
state	string	State, province or equivalent: Maine, Montana, British Columbia, Hokkaido, Valais, Tyrol.
country	string	Country name, e.g. Switzerland or Japan.
region	string	north-america, europe, asia, oceania, south-america, or a colloquial range: alps, andes, r
limit	number	How many resorts to return (default 10, max 50).

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-snowsure-snow","endpoint":"/get_season_leaderboard","input":{}}'

cli

npx cracked-ai run -p mcp-ai-snowsure-snow -e /get_season_leaderboard -i '{}'

mcp

run_tool({ provider: "mcp-ai-snowsure-snow", endpoint: "/get_season_leaderboard", input: {} })

Try it

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