kalshi_weather_index_calibrations
Pack: kalshi · Endpoint: https://gateway.pipeworx.io/kalshi/mcp
Station weights, offsets and every recalibration behind a Kalshi city temperature index.
Tool description as the model sees it
How a Kalshi city temperature index is COMPUTED, and every time that changed — GET /live_data/weather/{city}/calibrations. Returns the launch configuration plus each weekly offset calibration and methodology update in ascending effective order: per-station weights, per-station offsets in Celsius, the city reference, the config version string, the calibration window and Kalshi’s stated reason for the change. This is the audit trail behind kalshi_weather_index: it is what lets you reproduce an index value from raw station data, and what tells you whether a settlement dispute falls before or after a methodology change. Same thirteen city ids as kalshi_weather_index.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
city | string | yes | Index city id — miami, dfw, houston, phl-delaware-valley, puget-sound, sf-bay, greater-boston, southeast-michigan, kansas-city, minneapolis-st-paul, nyc, chicago, la-coastal. |
Example call
Arguments
{
"city": "nyc"
}
curl
curl -X POST https://gateway.pipeworx.io/kalshi/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"kalshi_weather_index_calibrations","arguments":{"city":"nyc"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('kalshi_weather_index_calibrations', {
"city": "nyc"
});
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"kalshi": {
"url": "https://gateway.pipeworx.io/kalshi/mcp"
}
}
}
See Getting Started for client-specific install steps.