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Eden Engine

Temperature, Humidity and Pressure by Country from Citizen Sensors (Sensor.Community)

sensorcommunityluftdaten/weather-by-country

A worldwide snapshot of temperature, relative humidity and sea-level pressure from the Sensor.Community citizen sensor network, reduced to one row per country: the number of outdoor sensors and the median temperature in degrees Celsius, median humidity in percent and median sea-level pressure in hectopascals, most sensors first, with the timestamp of the newest reading (UTC). Built from the network's temperature feed, which holds each sensor's average over the last 5 minutes; indoor sensors and implausible readings are left out. Takes no input. These are low-cost citizen sensors, not weather-service stations. Served by Eden Engine; not an official Sensor.Community product.

activeper callv1

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

Sensor.Community

Citizen-science air and weather measurements from the Sensor.Community network (sensor.community, formerly Luftdaten.info), made available under the Open Database License (ODbL) and Database Contents License (DbCL), which require crediting the source; summarised per country by Eden Engine. Served by Eden Engine; not an official Sensor.Community 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.

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

// 2. inspect: price and input schema
omnial_inspect({ tool: "sensorcommunityluftdaten/weather-by-country" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "sensorcommunityluftdaten/weather-by-country" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "sensorcommunityluftdaten/weather-by-country", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "sensorcommunityluftdaten/weather-by-country", 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
$0.0026
Updated
Oct 21, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "required": [
    "newest_reading_utc",
    "sensors",
    "countries"
  ],
  "properties": {
    "sensors": {
      "type": "integer",
      "description": "Number of sensors used worldwide."
    },
    "countries": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "country",
          "sensors"
        ],
        "properties": {
          "country": {
            "type": "string",
            "description": "ISO 3166-1 alpha-2 country code of the sensors, for example DE."
          },
          "sensors": {
            "type": "integer",
            "description": "Number of outdoor sensors in the country that gave at least one valid reading in the feed."
          },
          "median_temperature_c": {
            "type": "number",
            "description": "Median temperature in degrees Celsius. Absent when no sensor in the country reported a plausible value."
          },
          "median_humidity_percent": {
            "type": "number",
            "description": "Median relative humidity in percent."
          },
          "median_sea_level_pressure_hpa": {
            "type": "number",
            "description": "Median pressure reduced to sea level, in hectopascals."
          }
        },
        "additionalProperties": false
      },
      "description": "One row per country with at least one qualifying outdoor sensor, most sensors first."
    },
    "newest_reading_utc": {
      "type": "string",
      "description": "Timestamp of the newest reading used, UTC, as YYYY-MM-DD HH:MM:SS."
    }
  },
  "description": "Per-country medians over the temperature feed.",
  "additionalProperties": false
}