Mage Ai Rate Limits
The open-source, self-hosted Mage app does not document fixed public HTTP rate limits on its /api surface; effective throughput is governed by the resources of the host running the Mage server and its executor (local_python or Kubernetes). On Mage Pro, practical limits are expressed as plan allowances - monthly block runs (e.g. 15,000 on Team, 50,000 on Plus), AI token allowances, and compute hours - rather than per-minute request quotas. Specific per-endpoint throttling values are not reconciled in this artifact.
Mage Ai Rate Limits is the machine-readable rate-limit profile for Mage on the APIs.io network, conforming to the API Commons Rate Limits specification.
It captures 4 rate-limit definitions, measuring requests, block_runs, tokens, and compute_hours.
The profile also includes 3 backoff/retry policies defined and response codes documented for throttled.
Tagged areas include Data Pipelines, Orchestration, ETL, Open Source, and Rate Limiting.
Limits
Policies
Sources
- https://docs.mage.ai/extensibility/api-reference/overview
- https://www.mage.ai/pricing
- https://github.com/mage-ai/mage-ai
Work with this as data
Every rate limit 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 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.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/rate-limits/mage-ai-rate-limits"curl "https://apis.io/api/v1/rate-limits?limit=25"Discovery needs no key. Ratings and market analysis are Pro.