Question 1

What is the current probability for "Lowest temperature in San Francisco on Jun 17, 2026?"?

Accepted Answer

Current Kalshi odds for "Lowest temperature in San Francisco on Jun 17, 2026?": 58° to 59° 53%, 56° to 57° 38%, 54° to 55° 5% (top 3 of 6 outcomes), refreshed continuously.

Question 2

When does this market resolve?

Accepted Answer

This event resolves on 6/24/2026.

Question 3

How is the probability calculated?

Accepted Answer

pdata reads the latest market prices directly from kalshi's public API and normalizes them to a 0-100 probability scale. See https://pdata.world/methodology for details on per-platform conventions.

Question 4

Where can I get this data programmatically?

Accepted Answer

The JSON endpoint is https://api.pdata.world/api/v1/events/kalshi/KXLOWTSFO-26JUN17. An MCP server with 9 tools is available at https://api.pdata.world/mcp. Full agent guide: https://pdata.world/agents.md.

Lowest temperature in San Francisco on Jun 17, 2026?

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