Weather Alert Summary API: Active NWS alerts by state or nationwide with counts by event type
Active NWS alerts by state or nationwide with counts by event type, severity and urgency plus a Severe/Extreme total. Replaces paging GeoJSON and tallying. Free.
Free — no key, no signup, rate-limited to 60 calls per minute per client.
How do you call it?
GET /v1/weather/alerts — product id
weather_alerts. Over MCP, call answerpool_get with
product_id=weather_alerts.
curl "https://answerpool.io/v1/weather/alerts?area=CA"
Live call: https://answerpool.io/v1/weather/alerts?area=CA · JSON sample: /v1/samples/weather_alerts
What does the answer look like?
A representative response, the same static sample served at /v1/samples/weather_alerts.
as_of | 2026-09-03T16:00:00Z |
|---|---|
area | CA |
active_alerts | 4 |
severe_or_extreme | 0 |
note | Counts are computed over the active-alert set at retrieval time. One weather system produces many alerts across zones, so counts measure alert volume, not stor… |
source | NOAA National Weather Service (api.weather.gov) |
refresh_after | 2026-09-17T11:15:00.000Z |
by_event
| key | count |
|---|---|
| Wind Advisory | 3 |
| Heat Advisory | 1 |
The same sample as raw JSON
{
"as_of": "2026-09-03T16:00:00Z",
"area": "CA",
"active_alerts": 4,
"by_event": [
{
"key": "Wind Advisory",
"count": 3
},
{
"key": "Heat Advisory",
"count": 1
}
],
"by_severity": [
{
"key": "Moderate",
"count": 4
}
],
"by_urgency": [
{
"key": "Expected",
"count": 4
}
],
"severe_or_extreme": 0,
"alerts": [
{
"event": "Wind Advisory",
"severity": "Moderate",
"urgency": "Expected",
"certainty": "Likely",
"area": "Santa Barbara County Southwestern Coast",
"onset": "2026-09-03T11:00:00-07:00",
"ends": "2026-09-03T20:00:00-07:00",
"sender": "NWS Los Angeles CA"
}
],
"note": "Counts are computed over the active-alert set at retrieval time. One weather system produces many alerts across zones, so counts measure alert volume, not storm count.",
"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 what is active now and how it breaks down by type or severity.
What you skip building
- paging alert GeoJSON
- hand-tallying event types
- missing the severity split
When should you not use it?
A point forecast — /v1/weather/forecast.
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