Tools (3)

search_environmental_data
list_environmental_sources
report_feedback

search_environmental_data

Search environmental data for a location across weather, alerts, earthquakes, and emissions.

Geocodes the location, then queries four sources in parallel:
- Open-Meteo — current weather conditions and air quality
- NOAA NWS — active weather alerts (US locations)
- USGS — recent earthquakes within 500km
- Climate TRACE — country-level greenhouse gas emissions

Examples:
search_environmental_data(location="Oslo")
search_environmental_data(location="San Francisco", limit=5)
search_environmental_data(location="Tokyo")

Parameter	Type	Required	Description
`location`	`string`	required	Location name — city, region, or country (e.g. 'Oslo', 'Tokyo', 'California').
`limit`	`integer`	optional	Max results per source. (default: 10)

Request Body

{
  "location": "NO"
}

list_environmental_sources

List all environmental monitoring data sources, their coverage, and data types.

Shows which weather services, alert systems, seismic networks, and emissions
databases are queried during an environmental monitoring search.

Examples:
list_environmental_sources()

Request Body

{
  "query": "example"
}

report_feedback

Report a bug, feature request, or general feedback for this data source.

Use this when something doesn't work as expected, when you'd like
a new feature, or when you have suggestions for improvement.

Args:
feedback: Describe the issue or suggestion.
feedback_type: One of 'bug', 'feature_request', or 'general'.

Parameter	Type	Required	Description
`feedback`	`string`	required
`feedback_type`	`string`	optional	(default: "general")

Request Body

{
  "feedback": "example"
}

Quick Start

Shell

curl -X POST "https://context.gnist.ai/rest/environmental-monitoring/search_environmental_data" \
  -H "Content-Type: application/json" \
  -H "Gnist-API-Key: YOUR_API_KEY" \
  -d '{"location": "example"}'

Python

import httpx

resp = httpx.post(
    "https://context.gnist.ai/rest/environmental-monitoring/search_environmental_data",
    headers={"Gnist-API-Key": "YOUR_API_KEY"},
    json={
  "location": "example"
},
)
print(resp.json())