Canada Large Fires by Year (NFDB)
cwfis/large-fires-by-year
Returns the largest wildfires of one year from the National Fire Database large-fire points of the Canadian Wildland Fire Information System (fires over 200 hectares, 1970 to 2024), largest first. Each feature is a point (longitude, latitude) with properties including NFDBFIREID, SRC_AGENCY, FIRE_ID, FIRENAME, YEAR, MONTH, DAY, REP_DATE (report date), OUT_DATE, SIZE_HA (final size in hectares), CAUSE (H human, N natural, U unknown), FIRE_TYPE and RESPONSE. Returns up to `count` features (1 to 25, default 10) as a GeoJSON FeatureCollection with numberMatched; a year with no records returns an empty `features` array.
Price
$0.0026 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 $0.50.
Data source
Contains information licensed under the Open Government Licence - Canada. Data from the Canadian Wildland Fire Information System, Natural Resources Canada (https://cwfis.cfs.nrcan.gc.ca/), passed through unmodified. Served by Eden Engine; not an official Natural Resources Canada product.
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.
// 1. search: find the tool
omnial_search({ query: "what you need" })
// 2. inspect: price and input schema
omnial_inspect({ tool: "cwfis/large-fires-by-year" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "cwfis/large-fires-by-year" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "cwfis/large-fires-by-year", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "cwfis/large-fires-by-year", input: { /* ... */ } })
// 5. settle: the call is charged when it finishes, nothing to doNot 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.
| Charge | Price |
|---|---|
Per call | $0.0026 |
- Updated
- Oct 25, 2026
Input and output schemas
Input schema
{
"type": "object",
"required": [
"year"
],
"properties": {
"year": {
"type": "integer",
"maximum": 2024,
"minimum": 1970,
"description": "Fire year, 1970 to 2024."
},
"count": {
"type": "integer",
"default": 10,
"maximum": 25,
"minimum": 1,
"description": "Maximum features to return, 1 to 25. Defaults to 10."
}
},
"additionalProperties": false
}Output schema
{
"type": "object",
"required": [
"features"
],
"properties": {
"type": {
"type": "string",
"description": "Always FeatureCollection."
},
"features": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Feature id in the layer."
},
"type": {
"type": "string",
"description": "Always Feature."
},
"geometry": {
"type": "object",
"description": "Point geometry: coordinates are [longitude, latitude] in WGS84 (a third value, when present, is zero).",
"additionalProperties": true
},
"properties": {
"type": "object",
"description": "NFDBFIREID, SRC_AGENCY, FIRE_ID, FIRENAME, LATITUDE, LONGITUDE, YEAR, MONTH, DAY, REP_DATE, OUT_DATE, SIZE_HA, CAUSE, FIRE_TYPE, RESPONSE, PROTZONE, MORE_INFO, as sent by the service.",
"additionalProperties": true
}
},
"additionalProperties": true
},
"description": "Large fires of the year, largest first. Empty when the year holds none."
},
"numberMatched": {
"type": "integer",
"description": "Number of features that match the filter."
},
"totalFeatures": {
"type": "integer",
"description": "Number of features in the layer that match, ignoring `count`."
},
"numberReturned": {
"type": "integer",
"description": "Number of features in this answer."
}
},
"description": "A GeoJSON FeatureCollection as sent by the service.",
"additionalProperties": true
}