Question 1

What is the current probability for "How many consecutive days will the average temperature in San Diego be above 90°F for the week of Aug 17, 2026?"?

Accepted Answer

Current Kalshi odds for "How many consecutive days will the average temperature in San Diego be above 90°F for the week of Aug 17, 2026?": 2+ consecutive days 2%, 5+ consecutive days 1%, 6+ consecutive days 1% (top 3 of 5 outcomes), refreshed continuously.

Question 2

When does this market resolve?

Accepted Answer

This event resolves on 8/26/2026.

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/KXAVGTKSAN-26AUG23. An MCP server with 9 tools is available at https://api.pdata.world/mcp. Full agent guide: https://pdata.world/agents.md.

How many consecutive days will the average temperature in San Diego be above 90°F for the week of Aug 17, 2026?

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