openapi: 3.0.3 info: title: BigML REST Anomaly Detection Data Connectors API description: 'The BigML REST API provides programmatic access to the full BigML machine learning platform. Create and manage sources, datasets, models, ensembles, clusters, anomaly detectors, topic models, time series forecasters, deepnets, linear and logistic regression models, PCA, and generate predictions — both individual and batch — over HTTPS using username and API key authentication. ' version: 1.0.0 contact: name: BigML Support url: https://support.bigml.com/ license: name: Apache 2.0 url: https://www.apache.org/licenses/LICENSE-2.0 x-api-id: bigml:bigml-api x-provider: https://bigml.com/ servers: - url: https://bigml.io/andromeda description: BigML production API (use username/api_key query params) security: - ApiKeyAuth: [] tags: - name: Data Connectors description: Connect to external databases and data sources paths: /externalconnector: get: summary: List External Connectors operationId: listExternalConnectors tags: - Data Connectors parameters: - $ref: '#/components/parameters/username' - $ref: '#/components/parameters/apiKey' - $ref: '#/components/parameters/limit' - $ref: '#/components/parameters/offset' responses: '200': description: List of external connectors content: application/json: schema: $ref: '#/components/schemas/ListResponse' post: summary: Create an External Connector operationId: createExternalConnector tags: - Data Connectors parameters: - $ref: '#/components/parameters/username' - $ref: '#/components/parameters/apiKey' requestBody: required: true content: application/json: schema: type: object required: - connection properties: connection: type: object description: Connection configuration (host, port, db, user, password, etc.) source_type: type: string enum: - postgresql - mysql - elasticsearch - bigquery - sqlserver responses: '201': description: External connector created content: application/json: schema: $ref: '#/components/schemas/ExternalConnector' /externalconnector/{resource_id}: parameters: - $ref: '#/components/parameters/resourceId' - $ref: '#/components/parameters/username' - $ref: '#/components/parameters/apiKey' get: summary: Get an External Connector operationId: getExternalConnector tags: - Data Connectors responses: '200': description: External connector details content: application/json: schema: $ref: '#/components/schemas/ExternalConnector' put: summary: Update an External Connector operationId: updateExternalConnector tags: - Data Connectors requestBody: required: true content: application/json: schema: type: object responses: '200': description: External connector updated content: application/json: schema: $ref: '#/components/schemas/ExternalConnector' delete: summary: Delete an External Connector operationId: deleteExternalConnector tags: - Data Connectors responses: '204': description: External connector deleted components: schemas: ResourceStatus: type: object properties: code: type: integer description: HTTP-style status code (1=queued,2=started,3=waiting,4=processing,5=finished,0=unknown,-1=failed) message: type: string elapsed: type: number description: Processing time in milliseconds. ExternalConnector: allOf: - $ref: '#/components/schemas/ResourceBase' - type: object properties: connection: type: object source_type: type: string ResourceBase: type: object properties: resource: type: string description: Resource identifier (e.g., source/5f1a2b3c4d5e6f7890abcdef) created: type: string format: date-time updated: type: string format: date-time status: $ref: '#/components/schemas/ResourceStatus' name: type: string tags: type: array items: type: string private: type: boolean ListResponse: type: object properties: meta: type: object properties: limit: type: integer offset: type: integer total_count: type: integer previous: type: string nullable: true next: type: string nullable: true objects: type: array items: $ref: '#/components/schemas/ResourceBase' parameters: apiKey: name: api_key in: query required: true schema: type: string description: BigML API key. username: name: username in: query required: true schema: type: string description: BigML username. resourceId: name: resource_id in: path required: true schema: type: string pattern: ^[a-f0-9]{24}$ description: The 24-character hexadecimal resource identifier. limit: name: limit in: query required: false schema: type: integer default: 20 maximum: 1000 description: Number of resources to return. offset: name: offset in: query required: false schema: type: integer default: 0 description: Index of the first resource to return. securitySchemes: ApiKeyAuth: type: apiKey in: query name: username description: 'Authenticate with username and api_key as query parameters. Example: ?username=myuser&api_key=a1b2c3... ' x-tagGroups: - name: Data Management tags: - Sources - Datasets - Projects - Data Connectors - name: Supervised Learning tags: - Models - Ensembles - Supervised Learning - Evaluations - Predictions - name: Unsupervised Learning tags: - Clustering - Anomaly Detection - Unsupervised Learning - Time Series - name: Batch Operations tags: - Batch Operations - name: Automation tags: - WhizzML Scripting