LinkedIn Ads Virtual Assistant

LinkedIn Ads Virtual Assistant · Ações GPT

Adzviser Actions for GPT

Equip GPTs with the ability to retrieve real-time reporting data from LinkedIn Ads

  • GET /linkedin_ads/get_metrics_listgetLinkedInAdsMetricsList

    Get the list of seletable LinkedIn Ads metrics such as Reach, CPC, Likes etc.

  • GET /linkedin_ads/get_breakdowns_listgetLinkedInAdsBreakdownsList

    Get the list of seletable LinkedIn Ads breakdowns such as Campaign name, Serving location, Device etc.

  • POST /search_barsearchQuery

    Retrieve real-time reporting data such as impressions, cpc, etc. from LinkedIn Ads.

  • GET /workspace/getgetWorkspace

    Retrieve a list of workspaces that have been created by the user and their data sources, such as Google Ads, LinkedIn Ads accounts connected with each.

Esquema API original
{
  "openapi": "3.1.0",
  "info": {
    "title": "Adzviser Actions for GPT",
    "description": "Equip GPTs with the ability to retrieve real-time reporting data from LinkedIn Ads",
    "version": "v0.0.1"
  },
  "servers": [
    {
      "url": "https://copter.adzviser.com"
    }
  ],
  "paths": {
    "/linkedin_ads/get_metrics_list": {
      "get": {
        "description": "Get the list of seletable LinkedIn Ads metrics such as Reach, CPC, Likes etc.",
        "operationId": "getLinkedInAdsMetricsList",
        "parameters": [],
        "deprecated": false,
        "security": [],
        "x-openai-isConsequential": false
      }
    },
    "/linkedin_ads/get_breakdowns_list": {
      "get": {
        "description": "Get the list of seletable LinkedIn Ads breakdowns such as Campaign name, Serving location, Device etc.",
        "operationId": "getLinkedInAdsBreakdownsList",
        "parameters": [],
        "deprecated": false,
        "security": [],
        "x-openai-isConsequential": false
      }
    },
    "/search_bar": {
      "post": {
        "description": "Retrieve real-time reporting data such as impressions, cpc, etc. from LinkedIn Ads.",
        "operationId": "searchQuery",
        "parameters": [],
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/searchQueryRequest"
              }
            }
          },
          "required": true
        },
        "deprecated": false,
        "security": [
          {
            "oauth2": []
          }
        ],
        "x-openai-isConsequential": false
      }
    },
    "/workspace/get": {
      "get": {
        "description": "Retrieve a list of workspaces that have been created by the user and their data sources, such as Google Ads, LinkedIn Ads accounts connected with each.",
        "operationId": "getWorkspace",
        "parameters": [],
        "deprecated": false,
        "security": [
          {
            "oauth2": []
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/getWorkspaceResponse"
                }
              }
            }
          }
        },
        "x-openai-isConsequential": false
      }
    }
  },
  "components": {
    "schemas": {
      "getWorkspaceResponse": {
        "title": "getWorkspaceResponse",
        "type": "array",
        "description": "The list of workspaces created by the user on adzviser.com/main. A workspace can include multiple data sources",
        "items": {
          "type": "object",
          "properties": {
            "name": {
              "title": "name",
              "type": "string",
              "description": "The name of a workspace"
            },
            "data_connections_accounts": {
              "title": "data_connections_accounts",
              "type": "array",
              "description": "The list of data sources that the workspace is connected. The name can be an account name and type can be i.e. Google Ads, Facebook Ads, LinkedIn Ads, etc",
              "items": {
                "type": "object",
                "properties": {
                  "name": {
                    "title": "name",
                    "type": "string",
                    "description": "The name of a data connection account"
                  }
                }
              }
            }
          }
        }
      },
      "searchQueryRequest": {
        "description": "Contains details about queried data source, metrics, breakdowns, time ranges and time granularity, etc.",
        "type": "object",
        "required": [
          "assorted_requests",
          "workspace_name",
          "date_ranges"
        ],
        "title": "searchQueryRequest",
        "properties": {
          "assorted_requests": {
            "type": "object",
            "title": "assorted_requests",
            "description": "For example, if the user asks for \"cost on LinkedIn ads last month\", then call getLinkedInAdsMetricsList and getLinkedInAdsBreakdownsList to retrieve the latest up-to-date info about how to compose a linkedin_ads_request. A metric is a quantitative measurement. It represents data that can be measured and expressed in numbers. Metrics are used to track performance or behavior. Examples include clicks, impressions, conversions, revenue, etc. A breakdown is a qualitative attribute or descriptor. It provides context for metrics by categorizing or segmenting them. Breakdowns are text. Examples include country, channel, campaign name, etc. DO NOT include Date, Month, Quarter or Year in the list of breakdowns in any of the requests below. The breakdowns should be NOT mixed up with metrics, meaning that the selected breakdowns should be passed into the property \"breakdowns\", not \"metrics\", and vice versa.",
            "properties": {
              "linkedin_ads_request": {
                "type": "object",
                "description": "A request that contains details of demand for linkedin ads data.",
                "required": [
                  "metrics",
                  "breakdowns"
                ],
                "properties": {
                  "breakdowns": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Must call API getLinkedInAdsBreakdownsList to retrieve a list of selectable breakdowns."
                  },
                  "metrics": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Must call API getLinkedInAdsMetricsList to retrieve a list of selectable metrics."
                  }
                }
              }
            }
          },
          "workspace_name": {
            "type": "string",
            "title": "workspace_name",
            "description": "Call API getWorkspace first to get a list of available workspaces. Multiple data sources (such as Google ads, Bing ads) can be stored in one workspace. If the user does not specify a workspace name, then use the available workspace name from the retrieved list and see which one has LinkedIn Ads. If the user has not yet created one, then ask them to go to adzviser.com/main to create a new workspace."
          },
          "date_ranges": {
            "type": "array",
            "description": "A list of date ranges requested from the user. They needs to be calculated seperately with Code Interpreter and Python every single time for accuracy. For example, if the user requests \"LinkedIn Ads Impressions in May and August\", then this array should be [[\"2024-05-01\", \"2024-05-31\"], [\"2024-08-01\", \"2024-08-31\"]].",
            "items": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "A 2-element array. The first represents the start date and the second the end date. Both are in YYYY-MM-DD format."
            }
          },
          "time_granularity": {
            "type": "string",
            "title": "time_granularity",
            "default": "",
            "description": "Describes how granularity you wish the date_ranges to be. For example, If the user asks \"weekly cost on LinkedIn Ads\" this year, then this value should be \"Week\". If the user does not specify, then leave it as empty.",
            "enum": [
              "Date",
              "Week",
              "Month",
              "Quarter"
            ]
          }
        }
      }
    },
    "securitySchemes": {
      "oauth2": {
        "type": "oauth2"
      }
    }
  }
}