Qlik Sense · Schema

Task Model Configuration

Schema for task model configuration

AgentsAnalyticsArtificial IntelligenceBusiness IntelligenceCloudData IntegrationData VisualizationEmbedded AnalyticsEnterpriseMachine Learning

Properties

Name Type Description
modifiedByAi object
relationships array Relationships array
View JSON Schema on GitHub

JSON Schema

qliksense-qtcp-task.model.schema.json Raw ↑
{
	"$schema": "http://json-schema.org/draft-07/schema#",
	"$id": "https://raw.githubusercontent.com/qlik-oss/schemas/refs/heads/main/qtcp/task.model.schema.json",
	"title": "Task Model Configuration",
	"description": "Schema for task model configuration",
	"type": "object",
	"required": ["relationships"],
	"properties": {
		"modifiedByAi": { "$ref": "#/$defs/ModifiedByAi" },
		"relationships": {
			"type": "array",
			"description": "Relationships array",
			"items": {
				"type": "object",
				"required": ["sourceEntity","targetEntity","columnRelationships"],
				"properties": {
					"id": {
						"type": "string",
						"description": "Model unique identifier, to be used in datamart task"
					},
					"name": {
						"type": "string",
						"description": "Model Display name",
						"examples": ["Orders_OrderLines"]
					},
					"shortName": {
						"type": "string",
						"description": "Short alias for the relationship"
					},
					"description": {
						"type": "string",
						"description": "Model description"
					},	
					"sourceEntity": {
						"type": "object",
						"description": "Source entity in the model",
						"required": ["datasetId"],
						"properties": {
							"type": {
								"type": "string",
								"description": "Type",
								"enum": ["NONE","TABLE","VIEW","TABLE_AND_VIEW","DIRECTORY"],
								"default": "NONE"
							},
							"name": {
								"type": "string",
								"description": "Display name of the source dataset",
								"examples": ["Categories"]
							},
							"projectId": {
								"type": "string",
								"description": "Project identifier containing the source dataset. Can use template reference syntax",
								"examples": ["{{ref(project.current.projectId)}}", "my-project-id"]
							},
							"taskId": {
								"type": "string",
								"description": "Task identifier containing the source dataset",
								"examples": ["transform1-sfim"]
							},
							"datasetId": {
								"type": "string",
								"description": "Unique identifier of the source dataset",
								"examples": ["categories-ch_e"]
							}
						},
						"additionalProperties": false
					},
					"targetEntity": {
						"type": "object",
						"description": "Target entity in the model",
						"required": ["datasetId"],
						"properties": {
							"type": {
								"type": "string",
								"description": "Type",
								"enum": ["NONE","TABLE","VIEW","TABLE_AND_VIEW","DIRECTORY"],
								"default": "NONE"
							},
							"name": {
								"type": "string",
								"description": "Display name of the target dataset",
								"examples": ["Categories"]
							},
							"projectId": {
								"type": "string",
								"description": "Project identifier containing the target dataset. Can use template reference syntax",
								"examples": ["{{ref(project.current.projectId)}}", "my-project-id"]
							},
							"taskId": {
								"type": "string",
								"description": "Task identifier containing the target dataset",
								"examples": ["transform1-sfim"]
							},
							"datasetId": {
								"type": "string",
								"description": "Unique identifier of the target dataset",
								"examples": ["categories-ch_e"]
							}
						},
						"additionalProperties": false
					},
					"columnRelationships": {
						"type": "array",
						"description": "Array of column-to-column relationships defining how the entities are related",
						"items": {
							"type": "object",
							"description": "A single column relationship mapping",
							"required": ["sourceColumn", "targetColumn", "sourceColumnId", "targetColumnId"],
							"properties": {
								"sourceColumn": {
									"type": "string",
									"description": "Display name of the column in the source entity",
									"examples": ["CategoryID"]
								},
								"targetColumn": {
									"type": "string",
									"description": "Display name of the column in the target entity",
									"examples": ["CategoryID"]
								},
								"sourceColumnId": {
									"type": "string",
									"description": "Internal identifier of the source column (typically lowercase)",
									"examples": ["categoryid"]
								},
								"targetColumnId": {
									"type": "string",
									"description": "Internal identifier of the target column (typically lowercase)",
									"examples": ["categoryid"]
								}
							},
							"additionalProperties": false
						}
					}
				},
				"additionalProperties": false
			}
		}
	},
	"$defs": {
		"ModifiedByAi": {
			"type": "object",
			"description": "Metadata describing the latest AI modification",
			"required": ["lastUpdated", "model"],
			"properties": {
				"lastUpdated": { "type": "string", "format": "date-time", "pattern": "^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{3}Z$", "description": "UTC timestamp of the latest AI modification" },
				"model": { "type": "string", "minLength": 1, "description": "AI model that made the latest modification" }
			},
			"additionalProperties": false
		}
	},
 	"additionalProperties": false
}

Work with this as data

Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for schemas

4 MCP tools reach this
  • find_json_schemasBrowse and filter every JSON Schema in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/qliksense-qtcp-task.model.schema"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.