Labelbox · Rate Limits

Labelbox Rate Limits

Labelbox applies rate limits to both its GraphQL API and REST API to ensure platform stability. When a rate limit is exceeded the API returns an HTTP 429 status code with a Retry-After response header indicating how many seconds to wait before retrying. Labelbox strongly recommends using the official Python SDK (labelbox-python) rather than calling the GraphQL API directly, as the SDK handles retries and pagination automatically. GraphQL endpoints may be updated or deprecated without notice.

Labelbox Rate Limits is the machine-readable rate-limit profile for Labelbox on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 2 rate-limit definitions.

Tagged areas include Data Labeling, AI Training, Machine-Learning, Annotation, and Computer-Vision.

2 Limits
Data LabelingAI TrainingMachine-LearningAnnotationComputer-VisionRLHFModel EvaluationDataset ManagementGraphQLPython SDK

Work with this as data

Every rate limit here is available over the APIs.io API and to AI agents over MCP.

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Tools for rate limits

4 MCP tools reach this
  • find_rate_limitsBrowse and filter every rate limit 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 rate limit 
curl "https://apis.io/api/v1/rate-limits/labelbox-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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