Skip to content
Eden Engine

NWS Grid Point (Forecast Office and Grid Cell for a U.S. Coordinate)

nws/grid-point

Resolves a United States latitude and longitude to its National Weather Service forecast office and forecast grid cell (office id, gridX, gridY), plus the point's time zone, county, forecast zone, nearest radar station and nearest town. Feed the office id and grid cell into NWS Grid Forecast to get the forecast. US only: coordinates outside the United States and its territories return a clear error. National Weather Service data as served by Omnial, not an official NWS product.

activeper callv1

Price

$0.00273 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.

Data source

National Weather Service

Data from the U.S. National Weather Service (NOAA), public domain per weather.gov/disclaimer. Served by Omnial; not an official NWS product and not endorsed by NOAA or NWS.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

Connect once and your AI can find and run this tool, and any other it needs.

agent
// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "nws/grid-point" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "nws/grid-point" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "nws/grid-point", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "nws/grid-point", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

ChargePrice
Per call
$0.00273
Updated
Oct 18, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "latitude",
    "longitude"
  ],
  "properties": {
    "latitude": {
      "type": "number",
      "maximum": 90,
      "minimum": -90,
      "description": "Latitude in decimal degrees, north positive (Washington DC is 38.8894)."
    },
    "longitude": {
      "type": "number",
      "maximum": 180,
      "minimum": -180,
      "description": "Longitude in decimal degrees, west negative (Washington DC is -77.0352)."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "required": [
    "gridId",
    "gridX",
    "gridY",
    "timeZone"
  ],
  "properties": {
    "gridX": {
      "type": "integer",
      "description": "Forecast grid column within the office's grid."
    },
    "gridY": {
      "type": "integer",
      "description": "Forecast grid row within the office's grid."
    },
    "county": {
      "type": "string",
      "description": "NWS URL of the point's county zone."
    },
    "gridId": {
      "type": "string",
      "description": "Three-letter NWS forecast office id, for example LWX."
    },
    "forecast": {
      "type": "string",
      "description": "NWS URL of this point's twelve-hour forecast."
    },
    "timeZone": {
      "type": "string",
      "description": "IANA time zone of the point."
    },
    "forecastZone": {
      "type": "string",
      "description": "NWS URL of the point's public forecast zone."
    },
    "radarStation": {
      "type": "string",
      "description": "Nearest NWS radar station id."
    },
    "forecastHourly": {
      "type": "string",
      "description": "NWS URL of this point's hourly forecast."
    },
    "relativeLocation": {
      "type": "object",
      "description": "Nearest town, with city, state and distance."
    }
  },
  "description": "The NWS point record for the coordinate.",
  "additionalProperties": true
}