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curl "https://api.atmy.ai/v1/air-quality/history?city=germany/berlin&days=30"

const response = await fetch("https://api.atmy.ai/v1/air-quality/history?city=germany/berlin&days=30");
const data = await response.json();

import requests

data = requests.get("https://api.atmy.ai/v1/air-quality/history?city=germany/berlin&days=30").json()

{
  "city": {
    "id": 50037,
    "slug": "germany/berlin",
    "name": "Berlin",
    "country": "Germany",
    "timezone": "Europe/Berlin",
    "center": {
      "lat": 52.5073,
      "lon": 13.3979
    },
    "page": "https://atmy.ai/air-quality/germany/berlin/"
  },
  "unit": "ug/m3",
  "method": "datahub_daily",
  "period_timezone": "UTC",
  "category_scale": "US_EPA_2024",
  "from": "2026-10-24",
  "to": "2026-10-26",
  "available_since": "2017-01-01",
  "days": [
    {
      "date": "2026-10-24",
      "pm25": 3.4,
      "sensors": 172,
      "level": "good",
      "weather": {
        "temperature_c": 10.1,
        "temperature_min_c": 6.7,
        "temperature_max_c": 14.7,
        "humidity_percent": 71,
        "pressure_hpa": 1010,
        "wind_m_s": 4.3,
        "wind_gust_max_m_s": 12.7,
        "clouds_percent": 83,
        "observations": 7
      }
    },
    {
      "date": "2026-10-25",
      "pm25": 3.9,
      "sensors": 174,
      "level": "good",
      "weather": {
        "temperature_c": 9.8,
        "temperature_min_c": 7.2,
        "temperature_max_c": 14.6,
        "humidity_percent": 72,
        "pressure_hpa": 1002,
        "wind_m_s": 5,
        "wind_gust_max_m_s": 14.7,
        "clouds_percent": 86,
        "observations": 7
      }
    },
    {
      "date": "2026-10-26",
      "pm25": 4.6,
      "sensors": 176,
      "level": "good",
      "weather": {
        "temperature_c": 9,
        "temperature_min_c": 7.2,
        "temperature_max_c": 13.4,
        "humidity_percent": 73,
        "pressure_hpa": 1014,
        "wind_m_s": 3.2,
        "wind_gust_max_m_s": 11.2,
        "clouds_percent": 44,
        "observations": 7
      }
    }
  ],
  "weather_since": "2026-01-19",
  "weather_notes": "weather: means of the readings Atmy stored for the city on the UTC day (observations: how many); temperature_min_c and temperature_max_c are the lowest and highest the provider reported for the day; wind_gust_max_m_s the strongest gust. No precipitation sum: the readings are instants.",
  "weather_attribution": "Weather: OpenWeatherMap (to 2026-07-08, CC BY-SA 4.0) and Open-Meteo.com (from 2026-07-09, CC BY 4.0), collected by Atmy."
}

curl "https://api.atmy.ai/v1/air-quality/history/monthly?city=germany/berlin"

const response = await fetch("https://api.atmy.ai/v1/air-quality/history/monthly?city=germany/berlin");
const data = await response.json();

import requests

data = requests.get("https://api.atmy.ai/v1/air-quality/history/monthly?city=germany/berlin").json()

{
  "city": {
    "id": 50037,
    "slug": "germany/berlin",
    "name": "Berlin",
    "country": "Germany",
    "timezone": "Europe/Berlin",
    "center": {
      "lat": 52.5073,
      "lon": 13.3979
    },
    "page": "https://atmy.ai/air-quality/germany/berlin/"
  },
  "unit": "ug/m3",
  "method": "datahub_monthly",
  "period_timezone": "UTC",
  "notes": "A month is the mean of its sensors; a sensor is the mean of its quality-checked days. Yearly means use months with data on at least half of their days; only complete years (12 months) compare as a whole. The number of sensors grew over the years, so comparisons are approximate. source_daily_days / source_daily_sensors: values that include the daily means of the sensor network itself where no hourly readings were kept. weather: means of the readings Atmy stored for the city in the month, its lowest and highest temperature.",
  "since": "2025-01",
  "months": [
    {
      "month": "2025-01",
      "pm25": 8.1,
      "sensors": 174,
      "days_with_data": 30,
      "days": 31
    },
    {
      "month": "2025-02",
      "pm25": 14.5,
      "sensors": 175,
      "days_with_data": 28,
      "days": 28
    }
  ],
  "years": [
    {
      "year": "2025",
      "pm25": 9,
      "months": 12,
      "complete": true
    },
    {
      "year": "2026",
      "pm25": 8.7,
      "months": 10,
      "complete": false
    }
  ],
  "dirtiest_months": [
    {
      "month": "2026-01",
      "pm25": 18.3,
      "sensors": 191,
      "days_with_data": 31,
      "days": 31
    },
    {
      "month": "2026-02",
      "pm25": 15.8,
      "sensors": 193,
      "days_with_data": 28,
      "days": 28
    }
  ],
  "cleanest_months": [
    {
      "month": "2026-09",
      "pm25": 4.5,
      "sensors": 205,
      "days_with_data": 30,
      "days": 30
    },
    {
      "month": "2026-06",
      "pm25": 5.1,
      "sensors": 195,
      "days_with_data": 30,
      "days": 30
    }
  ],
  "dirtiest_days": [
    {
      "date": "2026-01-23",
      "pm25": 40.3,
      "sensors": 183
    },
    {
      "date": "2025-02-13",
      "pm25": 35.5,
      "sensors": 162
    }
  ],
  "cleanest_days": [
    {
      "date": "2025-04-06",
      "pm25": 1.7,
      "sensors": 173
    },
    {
      "date": "2025-04-07",
      "pm25": 1.7,
      "sensors": 170
    }
  ],
  "weather_since": "2026-01-19",
  "weather_attribution": "Weather: OpenWeatherMap (to 2026-07-08, CC BY-SA 4.0) and Open-Meteo.com (from 2026-07-09, CC BY 4.0), collected by Atmy."
}