Weather Forecast API: Coordinates to forecast in one call, with high, low, peak precipitation — NWS
Coordinates to forecast in one call, with high, low, peak precipitation probability and wet-period count computed across the window. Free, no key.
Free — no key, no signup, rate-limited to 60 calls per minute per client.
How do you call it?
GET /v1/weather/forecast — product id
weather_forecast. Over MCP, call answerpool_get with
product_id=weather_forecast.
curl "https://answerpool.io/v1/weather/forecast?latitude=38.8894&longitude=-77.0352"
Live call: https://answerpool.io/v1/weather/forecast?latitude=38.8894&longitude=-77.0352 · JSON sample: /v1/samples/weather_forecast
What does the answer look like?
A representative response, the same static sample served at /v1/samples/weather_forecast.
as_of | 2026-09-03T16:00:00Z |
|---|---|
grid | LWX/97,71 |
city | Washington |
state | DC |
periods_returned | 2 |
high_f | 88.0 |
low_f | 71.0 |
max_precip_probability_pct | 60.0 |
periods_with_precip_50pct_plus | 1 |
note | Highs, lows and precipitation aggregates are computed by AnswerPool across the returned periods; the per-period values are as issued by the forecast office. |
source | NOAA National Weather Service (api.weather.gov) |
refresh_after | 2026-09-17T11:15:00.000Z |
periods
| name | start | is_daytime | temperature_f | wind | precipitation_probability_pct | short_forecast |
|---|---|---|---|---|---|---|
| Today | 2026-09-03T12:00:00-04:00 | true | 88.0 | 5 to 10 mph SW | 60.0 | Chance Showers And Thunderstorms |
The same sample as raw JSON
{
"as_of": "2026-09-03T16:00:00Z",
"grid": "LWX/97,71",
"city": "Washington",
"state": "DC",
"periods_returned": 2,
"high_f": 88.0,
"low_f": 71.0,
"max_precip_probability_pct": 60.0,
"periods_with_precip_50pct_plus": 1,
"periods": [
{
"name": "Today",
"start": "2026-09-03T12:00:00-04:00",
"is_daytime": true,
"temperature_f": 88.0,
"wind": "5 to 10 mph SW",
"precipitation_probability_pct": 60.0,
"short_forecast": "Chance Showers And Thunderstorms"
}
],
"note": "Highs, lows and precipitation aggregates are computed by AnswerPool across the returned periods; the per-period values are as issued by the forecast office.",
"source": "NOAA National Weather Service (api.weather.gov)",
"refresh_after": "2026-09-17T11:15:00.000Z"
}How fresh is it, and where does the data come from?
The fastest source behind this answer can change every 15 minutes, so every response carries a refresh_after timestamp — right now it would be 2026-09-17T11:15:00.000Z. Schedule the next call on that value rather than on a guess.
- NOAA National Weather Service (US federal public domain) — upstream:
https://api.weather.gov
Method version 0.1.0 ·
serving cache 1 day ·
every response carries a result_id you can resolve at
/v1/provenance.
When should you use it?
You need a point forecast plus its summary numbers.
What you skip building
- the NWS points-then-gridpoints two-step
- min/max passes over forecast periods
When should you not use it?
Active warnings — /v1/weather/alerts.
Where else can you find this?
- Catalog entry (JSON, free)
- OpenAPI schema — input and output types, prices, the 402 flow
- llms.txt — every product in one plain-text document