Modelbit · Authentication Profile

Modelbit Authentication

Authentication

Modelbit secures its APIs with apiKey across 2 declared security schemes, as derived from its OpenAPI definitions.

CompanyArtificial IntelligenceMachine-LearningMLOpsModel DeploymentModel InferenceData ScienceModel Registry
Methods: apiKey Schemes: 2 OAuth flows: API key in: header

Security Schemes

DeploymentApiKey apiKey
· in: header ()
SdkLogin session

Source

Authentication Profile

modelbit-authentication.yml Raw ↑
generated: '2026-07-20'
method: searched
source: https://doc.modelbit.com/deployments/calling-the-rest-api/
docs: https://doc.modelbit.com/deployments/calling-the-rest-api/using-api-keys/
summary:
  types: [apiKey]
  api_key_in: [header]
  notes: >-
    Modelbit deployments are called as REST inference endpoints. Access can be
    restricted with API keys created in the Settings area of the Modelbit
    workspace; the key is sent to the deployment in the HTTP Authorization
    header. The Python SDK (modelbit) authenticates the developer session via an
    interactive login flow (mb.login()) rather than a static key.
schemes:
  - name: DeploymentApiKey
    type: apiKey
    in: header
    parameter_name: Authorization
    description: >-
      API key created in Modelbit Settings and passed in the Authorization
      header of REST inference requests to a deployment. Keys can be scoped to
      limit access to deployed models.
    source: https://doc.modelbit.com/deployments/calling-the-rest-api/using-api-keys/
  - name: SdkLogin
    type: session
    description: >-
      The modelbit Python package establishes an authenticated session via
      mb.login() (browser/token based) for training-job, dataset, model-registry
      and deployment operations from a notebook or CI environment.
    source: https://doc.modelbit.com/api-reference/login/

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