Question 1

What is the current probability for "Highest temperature in San Francisco on Jul 31, 2026?"?

Accepted Answer

Current Kalshi odds for "Highest temperature in San Francisco on Jul 31, 2026?": 73° to 74° 37%, 75° to 76° 27%, 71° to 72° 22% (top 3 of 6 outcomes), refreshed continuously.

Question 2

When does this market resolve?

Accepted Answer

This event resolves on 8/7/2026.

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/KXHIGHTSFO-26JUL31. An MCP server with 9 tools is available at https://api.pdata.world/mcp. Full agent guide: https://pdata.world/agents.md.

Highest temperature in San Francisco on Jul 31, 2026?

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