action graphhopper_get_isochrone {
  label: "Isochrone Endpoint"
  description: "### Example\nYou can get an example response via:\n\n```\ncurl \"https://graphhopper.com/api/1/isochrone?point=51.131108,12.414551&key=[YOUR_KEY]\"\n```\n\nDon't forget to replace the placeholder with your own key.\n\n### Introduction\n![Isochrone screenshot](./img/isochrone-example.png)\n\nAn isochrone of a location is ''a line connecting points at which a vehicle arrives at the same time'', see Wikipedia.\nWith the same API you can also calculate isodistances, just use the parameter distance_limit instead of time_limit`.\n\n### Use Cases\nSome possible areas in which this API may be useful to you:\n\n- real estate analysis\n- realtors\n- vehicle scheduling\n- geomarketing\n- reach of electric vehicles\n- transport planning\n- logistics (distribution and retail network planning)\n\n### API Clients and Examples\nSee the [clients](#section/API-Clients) section in the main documentation, and [live examples](https://graphhopper.com/api/1/examples/#isochrone).\n"
  provider: graphhopper
  method: GET
  path: "/isochrone"
  encoding: json
  input: {
    type: "object"
    properties: {
      buckets: {
        type: "integer"
        format: "int32"
      }
      distance_limit: {
        type: "integer"
        format: "int32"
      }
      point: {
        type: "string"
      }
      reverse_flow: {
        type: "boolean"
      }
      time_limit: {
        type: "integer"
        format: "int32"
      }
      vehicle: {
        type: "string"
        enum: ["car", "bike", "foot", "hike", "mtb", "racingbike", "scooter", "truck", "small_truck"]
      }
      weighting: {
        type: "string"
        enum: ["fastest", "shortest"]
      }
    }
    required: ["point"]
    additionalProperties: false
  }
  output: {
    type: "object"
    properties: {
      copyrights: {
        type: "array"
        items: {
          type: "string"
        }
      }
      polygons: {
        type: "array"
        description: "The list of polygons in GeoJson format. It can be used e.g. in the Leaflet framework:\n\n```\nL.geoJson(json.polygons).addTo(map)\n```\n\nThe number of polygon is identical to the specified buckets in the query. Every polygon contains the bucket number in the properties section of the GeoJson.\n"
        items: {
          type: "object"
          description: "A found path"
          properties: {
            geometry: {
              type: "object"
              properties: {
                coordinates: {
                  type: "array"
                  items: {
                    type: "array"
                    items: {
                      type: "array"
                      items: {
                        type: "number"
                      }
                    }
                  }
                }
                type: {
                  type: "string"
                }
              }
            }
            properties: {
              type: "object"
              properties: {
                bucket: {
                  type: "integer"
                  format: "int32"
                }
              }
            }
            type: {
              type: "string"
            }
          }
        }
      }
    }
  }
}