Request

Response

    Fetch Specific Properties
    POST

    {urn}/metadata/{modelGuid}/properties:query

    Queries the objects in the Model View (Viewable) specified by the modelGuid URI parameter and returns the specified properties in a paginated list. You can limit the number of objects to be queried by specifying a filter using the query attribute in the request body.

    Note: A design file must be translated to SVF or SVF2 before you can query object properties.

    Before you call this operation:

    • Use the List Model Views operation to obtain the list of Model Views in the source design.
    • Pick the ID of the Model View you want to query and specify that ID as the value for the modelGuid URI parameter.

    Resource Information

    Method and URI
    POST
    https://developer.api.autodesk.com/modelderivative/v2/designdata/{urn}/metadata/{modelGuid}/properties:query
    Method and URI (EMEA)
    POST
    https://developer.api.autodesk.com/modelderivative/v2/regions/eu/designdata/{urn}/metadata/{modelGuid}/properties:query
    Authentication Context
    user context optional.
    Required OAuth Scopes
    data:read
    Data Format
    JSON
    Rate Limit
    300 calls per minute for requests that trigger metadata extraction. Does not apply to requests querying models whose metadata extraction is complete or in progress.

    Request

    Headers

    Authorization*
    string
    Must be Bearer <token>, where <token> is obtained by means of POST /authentication/v2/token.
    Accept-Encoding
    string
    A comma separated list of the algorithms you want the response to be encoded in, specified in the order of preference.

    If you specify gzip or *, content is compressed and returned in gzip format.

    Content-Type*
    string
    Must be application/json.
    region
    enum: string
    Specifies the data center where the manifest and derivative of the specified source design are stored in. Possible values are:
    • US : (Default) Data center for the US region.
    • EMEA : Data center for the European Union, Middle East, and Africa regions.
    • AUS : (Beta) Data centre for the Australia region.

    Note:

    • Beta features are subject to change. Please avoid using them in production environments.
    • The Model Derivative service ignores this parameter if you use the EMEA URI for this operation.
    x-ads-derivative-format
    enum:string
    Specifies what type of Object IDs to return, if the design has legacy SVF derivatives generated by the BIM Docs service. Possible values are:
    • latest - (Default) Return SVF2 Object IDs.
    • fallback - Return SVF Object IDs.

    Note

    1. This parameter applies only to designs with legacy SVF derivatives generated by the BIM 360 Docs service.
    2. The BIM 360 Docs service now generates SVF2 derivatives. SVF2 Object IDs may not be compatible with the SVF Object IDs previously generated by the BIM 360 Docs service. Setting this header to fallback may resolve backward compatibility issues resulting from Object IDs of legacy SVF derivatives being retained on the client side.
    3. If you use this header with one derivative (URN), you must use it consistently across the following operations for that derivative.

    * Required

    Request

    URI Parameters

    urn
    string
    The URL safe Base64 encoded URN of the source design.
    modelGuid
    string
    The ID of the Model View (Viewable) that contains the objects you want to fetch properties for.

    Request

    Body Structure

    Expand all
    pagination
    object
    Specifies how to split the response into multiple pages, and return the response one page at a time.
    limit
    int
    The maximum number of properties to return in a single page. Use this attribute with the offset attribute to split the properties into multiple pages. To fetch the first page, specify offset =0 (do not skip any properties). To fetch the second page, specify offset = value of limit you specified for the first page. So, the server skips the search results returned on the first page. In general, offset = previous_offset + previous_limit. This attribute is 20 by default. The minimum value is 1 and the maximum is 1000.
    offset
    int
    The number of properties to skip. Use this attribute with the limit attribute to split the properties into multiple pages. To fetch the first page, specify offset =0 (do not skip any properties). To fetch the second page, specify offset = value of limit you specified for the first page. So, the server skips the properties returned on the first page. In general, offset = previous_offset + previous_limit. This attribute is 0 by default. The minimum value is 0.
    query*
    object
    Contains the parameters to pass to the query backend. Specifies what objects to query.
    oneOf
    $in
    array
    Returns only the objects with their objectid or externalId attribute exactly matching one of the values specified in the array.

    The first element of the array contains the name of the attribute to match (objectid or externalId). Subsequent elements contain the values to match.

    For example, if you specify an array as: "$in":["objectid",1,2], the request will only return the properties of the objects with objectid 1 and 2. If you specify an array as "$in":["externalId","doc_982afc8a","doc_afd75233" ] the request will only return the properties of the objects with extermnalId doc_982afc8a and doc_afd75233.

    $prefix
    array, string
    Returns only the objects with their name attribute beginning with the specified string.

    The first element of the array contains the name of the attribute to match (name). The second element contains the string to match. The array can have only two elements. Only the objects whose name begin with the specified string are returned.

    $eq
    array
    Returns only the objects where the value of the specified attribute (name attribute or any numerical property) is exactly equal to the specified value.

    The first element of the array contains the name of the attribute. This can be the name attribute or the name of a numerical property. The second element of the array must be the value to match. If the first element is name, must be a string value. If the first element is a numerical property, must be a numeric. The array can only be two elements long.

    For example, if you specify an array as: "$eq":["name","Rectangular"], the request will only return the properties of the object named Rectangular. if you specify an array as: "$eq":["properties.Dimensions.Width1",0.6], the request will return the properties of all objects whose properties.Dimensions.Width1 property is exactly equal to 0.6.

    Note: We recommend that you use $between instead of $eq when testing non-integer numeric values for equality. Using between mitigates floating-point errors.

    $between
    array
    Returns only the objects where the value of the specified numerical property lies between the specified values.

    The first element of the array contains the name of the property. The next two elements specify the values that the property must lie between. The array can only be three elements long.

    For example, if you specify an array as: "$between":["properties.Dimensions.Width1",1,10], the request returns the properties of all objects whose properties.Dimensions.Width1 property is between 1 and 10.

    Note: The Model Derivative service converts numeric values from their native units to metric base units for comparison. So, you must specify the values to compare in metric base units. For example, if the property you are comparing is a length measurement, you must specify the values in m. Not in cm, mm, or ft.

    $le
    array
    Returns only the objects where the value of the specified numerical property is less than or equal to the specified value.

    The first element of the array contains the name of the property. The next element specifies the values that the property must be less than or equal to. The array can only be two elements long.

    For example, if you specify an array as: "$le":["properties.Dimensions.Width1",10], the request returns the properties of all objects whose properties.Dimensions.Width1 property is less than or equal to 10.

    Note: The Model Derivative service converts numeric values from their native units to metric base units for comparison. So, the value to compare must be specified in metric base units. For example, if the property you are comparing is a length measurement, you must specify the value in m. Not in cm, mm, or ft.

    $ge
    array
    Returns only the objects where the value of the specified numerical property is greater than or equal to the specified value.

    The first element of the array contains the name of the property. The next element specifies the values that the property must be greater than or equal to. The array can only be two elements long.

    For example, if you specify an array as: "$ge":["properties.Dimensions.Width1",0.1], the request returns the properties of all objects whose properties.Dimensions.Width1 property is greater than or equal to 0.1.

    Note: The Model Derivative service converts numeric values from their native units to metric base units for comparison. So, the value to compare must be specified in metric base units. For example, if the property you are comparing is a length measurement, you must specify the value in m. Not in cm, mm, or ft.

    $contains
    array, string
    Returns only the objects where the value of the specified property contains the words specified in a string.

    The first element of the array contains the name of the property. The second element contains a string containing the words to match. The array can only be two elements long.

    For example, if you specify an array as: "$contains":["properties.Materials and Finishes.Structural Material","Concrete Situ"], the request returns the properties of all objects whose properties.Materials and Finishes.Structural Material property contains the words Concrete and Situ. You can specify up to 50 words.

    fields
    array, string
    Specifies what properties of the objects to return. If you do not specify this attribute, the response returns all properties. Possible values:
    • properties - Return all properties.
    • properties.something- Return the property named something and all its children.
    • properties.some* - Return all properties with names that begin with some and all their children.
    • properties.category.* - Return the property named category and all its children.
    • properties.*.property - Return any property named property regardless of its parent.
    payload
    enum
    Specifies the format for numeric values in the response body. Possible values:
    • text - (Default) Returns all properties requested in fields without applying any special formatting.
    • unit - Applies a filter and returns only the properties that contain numerical values. Additionally, it formats property values as ##<VALUE_OF_PROPERTY><UNIT_OF_VALUE><PRECISION><SYSTEM_UNIT>. For example ##94.172{mm}[3]{m}, where 94.172 is the value of the property, {mm} is the unit of the value, [3] is the precision, and {m} is the metric base unit for the measurement.
    * Required

    Response

    HTTP Status Code Summary

    200
    OK
    Success.
    202
    ACCEPTED
    Request accepted but processing is not complete. Call this endpoint again, until you receive 200 OK.
    400
    BAD REQUEST
    The request is invalid, either malformed inputs or missing required headers.
    404
    NOT FOUND
    The server was not able to understand the request. This could be due to malformed syntax or a missing request header.
    429
    TOO MANY REQUESTS
    Rate limit exceeded (300 requests per minute for requests that trigger metadata extraction). Wait some time before retrying.
    500
    INTERNAL SERVICE ERROR
    Unexpected service interruption.

    Response

    HTTP Headers

    x-ads-app-identifier
    string
    The service identifier made up of service name, version, and environment.
    x-ads-startup-time
    string
    The service startup time with data format EEE MMM dd HH:mm:ss Z yyyy.
    x-ads-duration
    string
    The request duration in milliseconds.
    x-ads-troubleshooting
    string
    Provides information about the server failure.
    x-ads-size
    string
    Size in bytes of the request data. It’s also for 413 response code.

    Response

    Body Structure (200)

    Expand all
    pagination
    object
    Envelope that contains pagination information.
    Limit
    int
    The maximum number of properties you requested for this page.
    offset
    int
    The number of items skipped (because they were returned in previous pages) when returning this page.
    totalresults
    int
    The total number of properties to be returned.
    data
    object
    Envelope that contains the return data.
    type
    string
    The type of data that is returned. Always properties.
    collection
    array
    Array of objects with their “properties” as a non-hierarchical list.
    objectid
    number
    Unique identifier of the object.

    Note: The objectid is a non-persistent session specific ID assigned to the object when a design file is translated to the SVF and SVF2 format. So:

    • The objectid of an object can change if the design is translated to SVF or SVF2 again.
    • If you require a persistent ID to reference an object, use externalId.
    name
    string
    Name of the object.
    externalId
    string
    A unique identifier of the object as defined in the source design. For example, UniqueID in Revit files.
    properties
    object
    A JSON object containing dictionary objects (key value pairs), where the key is the property name and the value is the value of the property.

    Response

    Body Structure (202)

    result
    string
    Always success. Indicates that the request was accepted but processing is yet to complete.

    Example 1

    This example retrieves all properties for the objects with object IDs 4269 and 438. This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.

    Request

    curl -X 'POST' \
         -H 'Authorization: Bearer PtnrvrtSRpWwUi3407QhgvqdUVKL...'  \
         -H 'Content-Type: application/json' \
         -v 'https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bW9kZWxfZGVyaXZhdGl2ZV9wcm9wX2VuaGFuY2VtZW50X3Rlc3RpbmcvcmFjX2Jhc2ljX3NhbXBsZV9wcm9qZWN0LnJ2dA/metadata/6bfb4886-f2ee-9ccb-8db0-c5c170220c40/properties:query' \
         -d'{
                  "query": {
                      "$in": [
                          "objectid",
                          4269,
                          438
                      ]
                  },
                  "fields": [
                      "objectid",
                      "name",
                      "externalId",
                      "properties.Cons*"
                  ],
                  "pagination": {
                      "offset": 0,
                      "limit": 20
                  },
                  "payload": "text"
              }'
    
    Show More

    Response

    {
        "pagination": {
            "limit": 20,
            "offset": 0,
            "totalResults": 2
        },
        "data": {
            "type": "properties",
            "collection": [
                {
                    "objectid": 438,
                    "name": "Floor [418183]",
                    "externalId": "d85573c2-f8d5-46ae-966a-ac82fa18f500-00066187",
                    "properties": {
                        "Constraints": {
                            "Level": "Level 2",
                            "Height Offset From Level": "0.000 mm",
                            "Room Bounding": "Yes",
                            "Related to Mass": "No"
                        },
                        "Construction": {
                            "Structure": "",
                            "Default Thickness": "300.000 mm",
                            "Function": "Interior"
                        }
                    }
                },
                {
                    "objectid": 4269,
                    "name": "Generic 150mm",
                    "externalId": "e3e052f9-0156-11d5-9301-0000863f27ad-00000153",
                    "properties": {
                        "Construction": {
                            "Structure": "",
                            "Default Thickness": "150.000 mm",
                            "Function": "Interior"
                        }
                    }
                }
            ]
        }
    }
    
    Show More

    Example 2

    This example is the same as Example 1, except that the payload request body attribute is set to unit.

    Request

    curl -X 'POST' \
         -H 'Authorization: Bearer PtnrvrtSRpWwUi3407QhgvqdUVKL...'  \
         -H 'Content-Type: application/json' \
         -v 'https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bW9kZWxfZGVyaXZhdGl2ZV9wcm9wX2VuaGFuY2VtZW50X3Rlc3RpbmcvcmFjX2Jhc2ljX3NhbXBsZV9wcm9qZWN0LnJ2dA/metadata/6bfb4886-f2ee-9ccb-8db0-c5c170220c40/properties:query' \
         -d'{
                  "query": {
                      "$in": [
                          "objectid",
                          4269,
                          438
                      ]
                  },
                  "fields": [
                      "objectid",
                      "name",
                      "externalId",
                      "properties.Cons*"
                  ],
                  "pagination": {
                      "offset": 0,
                      "limit": 20
                  },
                  "payload": "unit"
              }'
    
    Show More

    Response

    {
        "pagination": {
            "limit": 20,
            "offset": 0,
            "totalResults": 2
        },
        "data": {
            "type": "properties",
            "collection": [
                {
                    "objectid": 438,
                    "name": "Floor [418183]",
                    "externalId": "d85573c2-f8d5-46ae-966a-ac82fa18f500-00066187",
                    "properties": {
                        "Constraints": {
                            "Height Offset From Level": "##0{mm}[1]{m}"
                        },
                        "Construction": {
                            "Default Thickness": "##300{mm}[1]{m}"
                        }
                    }
                },
                {
                    "objectid": 4269,
                    "name": "Generic 150mm",
                    "externalId": "e3e052f9-0156-11d5-9301-0000863f27ad-00000153",
                    "properties": {
                        "Construction": {
                            "Default Thickness": "##150{mm}[1]{m}"
                        }
                    }
                }
            ]
        }
    }
    
    Show More

    Example 3

    This example retrieves the “Analytical Properties” only for the objects with the specified external IDs. This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.

    Request

    curl -X 'POST' \
         -H 'Authorization: Bearer PtnrvrtSRpWwUi3407QhgvqdUVKL...'  \
         -H 'Content-Type: application/json' \
         -v 'https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bW9kZWxfZGVyaXZhdGl2ZV9wcm9wX2VuaGFuY2VtZW50X3Rlc3RpbmcvcmFjX2Jhc2ljX3NhbXBsZV9wcm9qZWN0LnJ2dA/metadata/6bfb4886-f2ee-9ccb-8db0-c5c170220c40/properties:query' \
         -d'{
                  "query": {
                      "$in": [
                          "externalId",
                          "e3e052f9-0156-11d5-9301-0000863f27ad-00000153",
                          "5e8712a2-e372-44b6-9e73-0aaa430558ee-0008656f"
                      ]
                  },
                  "fields": [
                      "name",
                      "externalId",
                      "properties.Analytical Properties"
                  ],
                  "pagination": {
                      "offset": 0,
                      "limit": 20
                  },
                  "payload": "text"
              }'
    
    Show More

    Response

    {
        "pagination": {
            "limit": 20,
            "offset": 0,
            "totalResults": 2
        },
        "data": {
            "type": "properties",
            "collection": [
                {
                    "name": "Floor [550255]",
                    "externalId": "5e8712a2-e372-44b6-9e73-0aaa430558ee-0008656f",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "0.000 watt / (m^2 kelvin)",
                            "Thermal Resistance (R)": "0.000 m^2 kelvin / watt",
                            "Thermal mass": "0.000 kjoule / kelvin",
                            "Absorptance": "0.100",
                            "Roughness": "1"
                        }
                    }
                },
                {
                    "name": "Generic 150mm",
                    "externalId": "e3e052f9-0156-11d5-9301-0000863f27ad-00000153",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "0.000 watt / (m^2 kelvin)",
                            "Thermal Resistance (R)": "0.000 m^2 kelvin / watt",
                            "Thermal mass": "0.000 kjoule / kelvin",
                            "Absorptance": "0.100",
                            "Roughness": "1"
                        }
                    }
                }
            ]
        }
    }
    
    Show More

    Example 4

    This example retrieves an object by its name and retrieves all properties that belong to the Construction category. Note that the string to match is in lower case, while the actual name is in title case. The case insensitive matching finds the correct object. This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.

    Request

    curl -X 'POST' \
         -H 'Authorization: Bearer PtnrvrtSRpWwUi3407QhgvqdUVKL...'  \
         -H 'Content-Type: application/json' \
         -v 'https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bW9kZWxfZGVyaXZhdGl2ZV9wcm9wX2VuaGFuY2VtZW50X3Rlc3RpbmcvcmFjX2Jhc2ljX3NhbXBsZV9wcm9qZWN0LnJ2dA/metadata/6bfb4886-f2ee-9ccb-8db0-c5c170220c40/properties:query' \
         -d'{
                  "query": {
                      "$eq": [
                          "name",
                          "timber suspended floor"
                      ]
                  },
                  "fields": [
                      "objectid",
                      "name",
                      "externalId",
                      "properties.Construction.*"
                  ],
                  "pagination": {
                      "offset": 0,
                      "limit": 20
                  },
                  "payload": "text"
              }'
    
    Show More

    Response

    {
        "pagination": {
            "limit": 20,
            "offset": 0,
            "totalResults": 1
        },
        "data": {
            "type": "properties",
            "collection": [
                {
                    "objectid": 4272,
                    "name": "Timber Suspended Floor",
                    "externalId": "203cff26-4c9d-4eb4-93e5-28d28a01f256-0002d338",
                    "properties": {
                        "Construction": {
                            "Structure": "",
                            "Default Thickness": "247.000 mm",
                            "Function": "Interior"
                        }
                    }
                }
            ]
        }
    }
    
    Show More

    Example 5

    This example retrieves objects with “Floor” in its name and retrieves all properties that begin with “type”. Note the use of the wildcard * to return properties regardless of the category of the property. This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.

    Note: In the response, objects that do not have the requested properties are indicated by {}.

    Request

    curl -X 'POST' \
         -H 'Authorization: Bearer PtnrvrtSRpWwUi3407QhgvqdUVKL...'  \
         -H 'Content-Type: application/json' \
         -v 'https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bW9kZWxfZGVyaXZhdGl2ZV9wcm9wX2VuaGFuY2VtZW50X3Rlc3RpbmcvcmFjX2Jhc2ljX3NhbXBsZV9wcm9qZWN0LnJ2dA/metadata/6bfb4886-f2ee-9ccb-8db0-c5c170220c40/properties:query' \
         -d'{
                  "query": {
                      "$prefix": [
                          "name",
                          "floor"
                      ]
                  },
                  "fields": [
                      "objectid",
                      "name",
                      "externalId",
                      "properties.*.type*"
                  ],
                  "pagination": {
                      "offset": 0,
                      "limit": 20
                  },
                  "payload": "text"
              }'
    
    Show More

    Response

    {
        "pagination": {
            "limit": 20,
            "offset": 0,
            "totalResults": 10
        },
        "data": {
            "type": "properties",
            "collection": [
                {
                    "objectid": 91,
                    "name": "Floors",
                    "externalId": "225f03d8-e034-4a5b-858c-a767fc7a4ff1",
                    "properties": {}
                },
                {
                    "objectid": 169,
                    "name": "Floor [176804]",
                    "externalId": "203cff26-4c9d-4eb4-93e5-28d28a01f256-0002b2a4",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Generic 150mm",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 201,
                    "name": "Floor [495352]",
                    "externalId": "17836a3c-e764-47fa-a2e0-08216444f621-00078ef8",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Concrete-Domestic 425mm",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 207,
                    "name": "Floor [647908]",
                    "externalId": "66314231-2860-4f9f-87a8-f581c5b96b2f-0009e2e4",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Insitu Concrete 225mm",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 438,
                    "name": "Floor [418183]",
                    "externalId": "d85573c2-f8d5-46ae-966a-ac82fa18f500-00066187",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Generic 300",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 487,
                    "name": "Floor [549031]",
                    "externalId": "5e8712a2-e372-44b6-9e73-0aaa430558ee-000860a7",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Generic 300",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 507,
                    "name": "Floor [764691]",
                    "externalId": "c82e0dd9-31e8-407e-a294-c30431c2fda3-000bab13",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Insitu Concrete 225mm",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 589,
                    "name": "Floor [512683]",
                    "externalId": "1970f67d-62ee-4fc6-9008-0a9f00762fe0-0007d2ab",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Timber Suspended Floor",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 590,
                    "name": "Floor [550255]",
                    "externalId": "5e8712a2-e372-44b6-9e73-0aaa430558ee-0008656f",
                    "properties": {
                        "Identity Data": {
                            "Type Name": "Generic 150mm",
                            "Type Image": "",
                            "Type Comments": "",
                            "Type Mark": ""
                        }
                    }
                },
                {
                    "objectid": 4268,
                    "name": "Floor",
                    "externalId": "8e458af7-0024-4214-80e0-31b9845333d0",
                    "properties": {}
                }
            ]
        }
    }
    
    Show More

    Example 6

    This example retrieves objects that contain the words “SH_Resin” and “Concrete” in its Material and Finishes property. Note how the request is for the second page of the response. This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.

    Request

    curl -X 'POST' \
         -H 'Authorization: Bearer PtnrvrtSRpWwUi3407QhgvqdUVKL...'  \
         -H 'Content-Type: application/json' \
         -v 'https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bW9kZWxfZGVyaXZhdGl2ZV9wcm9wX2VuaGFuY2VtZW50X3Rlc3RpbmcvcmFjX2Jhc2ljX3NhbXBsZV9wcm9qZWN0LnJ2dA/metadata/6bfb4886-f2ee-9ccb-8db0-c5c170220c40/properties:query' \
         -d'{
                  "query": {
                      "$contains": [
                          "properties.Materials and Finishes.Structural Material",
                          "SH_resin Concrete"
                      ]
                  },
                  "fields": [
                      "objectid",
                      "name",
                      "externalId",
                      "properties.Materials and Finishes"
                  ],
                  "pagination": {
                      "offset": 30,
                      "limit": 30
                  },
                  "payload": "text"
              }'
    
    Show More

    Response

    {
        "pagination": {
            "limit": 30,
            "offset": 30,
            "totalResults": 37
        },
        "data": {
            "type": "properties",
            "collection": [
                {
                    "objectid": 4269,
                    "name": "Generic 150mm",
                    "externalId": "e3e052f9-0156-11d5-9301-0000863f27ad-00000153",
                    "properties": {
                        "Materials and Finishes": {
                            "Structural Material": "SH_resin Floor"
                        }
                    }
                },
                {
                    "objectid": 4270,
                    "name": "Generic 300",
                    "externalId": "9c1f7993-9536-44bd-bedc-bf731228f65b-00072966",
                    "properties": {
                        "Materials and Finishes": {
                            "Structural Material": "SH_resin Floor"
                        }
                    }
                },
                {
                    "objectid": 4271,
                    "name": "Concrete-Domestic 425mm",
                    "externalId": "7f28cee1-b998-4a37-89e2-f58405cbbc56-0008df1d",
                    "properties": {
                        "Materials and Finishes": {
                            "Structural Material": "Concrete, Cast In Situ"
                        }
                    }
                },
                {
                    "objectid": 4273,
                    "name": "Insitu Concrete 225mm",
                    "externalId": "7f28cee1-b998-4a37-89e2-f58405cbbc56-0008defb",
                    "properties": {
                        "Materials and Finishes": {
                            "Structural Material": "Concrete, Cast In Situ"
                        }
                    }
                },
                {
                    "objectid": 4299,
                    "name": "Foundation - 300mm Concrete",
                    "externalId": "7f28cee1-b998-4a37-89e2-f58405cbbc56-0008df7c",
                    "properties": {
                        "Materials and Finishes": {
                            "Structural Material": "Concrete, Cast In Situ"
                        }
                    }
                },
                {
                    "objectid": 4300,
                    "name": "Retaining - 300mm Concrete",
                    "externalId": "1551350c-45e5-41b8-bdf1-bcfa6794dc6a-000adce2",
                    "properties": {
                        "Materials and Finishes": {
                            "Structural Material": "Concrete - Cast In Situ"
                        }
                    }
                },
                {
                    "objectid": 5264,
                    "name": "150mm Foundation Slab",
                    "externalId": "5adccf95-7ef8-4f40-aa7c-dd3dcfd6d307-00015129",
                    "properties": {
                        "Materials and Finishes": {
                            "Structural Material": "Concrete, Cast In Situ"
                        }
                    }
                }
            ]
        }
    }
    
    Show More

    Example 7

    This example queries objects whose Absorptance property is greater than or equal to 0.1. Absorptance is a property that contains a numeric value, but has no units.

    This example uses a Revit model translated to SVF/SVF2. Among the models you can produce with Autodesk products, Revit models contain the richest set of metadata.

    Request

    curl -X 'POST' \
         -H 'Authorization: Bearer PtnrvrtSRpWwUi3407QhgvqdUVKL'  \
         -H 'Content-Type: application/json' \
         -v 'https://developer.api.autodesk.com/modelderivative/v2/designdata/dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bW9kZWxfZGVyaXZhdGl2ZV9wcm9wX2VuaGFuY2VtZW50X3Rlc3RpbmcvcmFjX2Jhc2ljX3NhbXBsZV9wcm9qZWN0LnJ2dA/metadata/6bfb4886-f2ee-9ccb-8db0-c5c170220c40/properties:query' \
         -d '{
                  "query": {
                      "$ge": [
                          "properties.Analytical Properties.Absorptance",
                          0.1
                      ]
                  },
                  "fields": [
                      "objectid",
                      "name",
                      "externalId",
                      "properties.Analytical Properties"
                  ],
                  "pagination": {
                      "offset": 0,
                      "limit": 20
                  },
                  "payload": "unit"
              }'
    
    Show More

    Response

    {
        "pagination": {
            "limit": 20,
            "offset": 0,
            "totalResults": 79
        },
        "data": {
            "type": "properties",
            "collection": [
                {
                    "objectid": 169,
                    "name": "Floor [176804]",
                    "externalId": "203cff26-4c9d-4eb4-93e5-28d28a01f256-0002b2a4",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 170,
                    "name": "Basic Wall [198749]",
                    "externalId": "ef57b02a-5e81-49e7-93bb-ae5f002d921c-0003085d",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 172,
                    "name": "Basic Wall [418079]",
                    "externalId": "72678df9-14a3-4aee-a80e-94a8e55a0926-0006611f",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 175,
                    "name": "Basic Wall [422243]",
                    "externalId": "59371552-5800-43eb-9ba3-609565158fc5-00067163",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 193,
                    "name": "Basic Wall [424922]",
                    "externalId": "59371552-5800-43eb-9ba3-609565158fc5-00067bda",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 195,
                    "name": "Basic Wall [425745]",
                    "externalId": "7fcc8dca-3132-4323-9d41-faf5184b4f26-00067f11",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 196,
                    "name": "Basic Wall [427092]",
                    "externalId": "c85e5be0-d8d5-4148-836f-b55e711ef373-00068454",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 197,
                    "name": "Basic Wall [493612]",
                    "externalId": "17836a3c-e764-47fa-a2e0-08216444f621-0007882c",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0.7499999999999999{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##1.3333333333333335{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##12.673461104640001{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 198,
                    "name": "Basic Wall [493697]",
                    "externalId": "17836a3c-e764-47fa-a2e0-08216444f621-00078881",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0.7499999999999999{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##1.3333333333333335{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##12.673461104640001{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 199,
                    "name": "Basic Wall [493790]",
                    "externalId": "17836a3c-e764-47fa-a2e0-08216444f621-000788de",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0.7499999999999999{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##1.3333333333333335{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##12.673461104640001{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 200,
                    "name": "Basic Wall [493879]",
                    "externalId": "17836a3c-e764-47fa-a2e0-08216444f621-00078937",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##3.486666666666667{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0.28680688336520077{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##42.1157351232{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 201,
                    "name": "Floor [495352]",
                    "externalId": "17836a3c-e764-47fa-a2e0-08216444f621-00078ef8",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0.6083921894474449{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##1.6436765910953293{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##31.743853931520004{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 202,
                    "name": "Pad [523064]",
                    "externalId": "7cce6b00-0763-4991-acce-01cfe02128f7-0007fb38",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 204,
                    "name": "Basic Wall [627064]",
                    "externalId": "5b7ac240-e9a7-43b2-b6bf-246956549a40-00099178",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0.7499999999999999{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##1.3333333333333335{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##12.673461104640001{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 205,
                    "name": "Basic Wall [627729]",
                    "externalId": "5b7ac240-e9a7-43b2-b6bf-246956549a40-00099411",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0.7499999999999999{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##1.3333333333333335{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##12.673461104640001{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 206,
                    "name": "Basic Wall [628523]",
                    "externalId": "5b7ac240-e9a7-43b2-b6bf-246956549a40-0009972b",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0.7499999999999999{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##1.3333333333333335{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##12.673461104640001{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 207,
                    "name": "Floor [647908]",
                    "externalId": "66314231-2860-4f9f-87a8-f581c5b96b2f-0009e2e4",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##4.648888888888889{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0.21510516252390058{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##31.586801342400005{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 218,
                    "name": "Compound Ceiling [697612]",
                    "externalId": "f714ef06-3fa3-4b95-b3e7-bbbd1e6eda49-000aa50c",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 271,
                    "name": "Basic Wall [845266]",
                    "externalId": "f565bef9-7d27-4781-b8d4-60f4a6034d87-000ce5d2",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                },
                {
                    "objectid": 274,
                    "name": "Basic Wall [849032]",
                    "externalId": "98e2f96c-ccbd-4abb-a697-e7e5136106ee-000cf488",
                    "properties": {
                        "Analytical Properties": {
                            "Heat Transfer Coefficient (U)": "##0{watt / (m^2 kelvin)}[4]{kg / (s^3 K)}",
                            "Thermal Resistance (R)": "##0{m^2 kelvin / watt}[4]{(s^3 K) / kg}",
                            "Thermal mass": "##0{kjoule / kelvin}[2]{(kg m^2) / (s^2 K)}",
                            "Absorptance": "##0.1{}[3]{}"
                        }
                    }
                }
            ]
        }
    }
    
    Show More
     
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    We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
    Tealium
    We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
    Upsellit
    We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
    CJ Affiliates
    We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
    Commission Factory
    We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
    Google Analytics (Strictly Necessary)
    We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
    Typepad Stats
    We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
    Geo Targetly
    We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
    SpeedCurve
    We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
    Qualified
    Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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    Improve your experience – allows us to show you what is relevant to you

    Google Optimize
    We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
    ClickTale
    We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
    OneSignal
    We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
    Optimizely
    We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
    Amplitude
    We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
    Snowplow
    We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
    UserVoice
    We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
    Clearbit
    Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
    YouTube
    YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

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    Customize your advertising – permits us to offer targeted advertising to you

    Adobe Analytics
    We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
    Google Analytics (Web Analytics)
    We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
    AdWords
    We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
    Marketo
    We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
    Doubleclick
    We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
    HubSpot
    We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
    Twitter
    We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
    Facebook
    We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
    LinkedIn
    We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
    Yahoo! Japan
    We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
    Naver
    We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
    Quantcast
    We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
    Call Tracking
    We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
    Wunderkind
    We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
    ADC Media
    We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
    AgrantSEM
    We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
    Bidtellect
    We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
    Bing
    We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
    G2Crowd
    We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
    NMPI Display
    We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
    VK
    We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
    Adobe Target
    We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
    Google Analytics (Advertising)
    We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
    Trendkite
    We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
    Hotjar
    We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
    6 Sense
    We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
    Terminus
    We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
    StackAdapt
    We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
    The Trade Desk
    We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
    RollWorks
    We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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    Your experience. Your choice.

    We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

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    Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.