Uptrain Rate Limits
UpTrain does not publish documented rate limits for its managed evaluation API. The open-source framework is self-hosted and effectively bounded only by the rate limits of whichever LLM provider you supply a key for (OpenAI, Anthropic, Azure OpenAI, Mistral, etc.) when grading. For the managed service (demo.uptrain.ai), any per-account throttling is set by UpTrain and is not reconciled in this artifact.
Uptrain Rate Limits is the machine-readable rate-limit profile for UpTrain on the APIs.io network, conforming to the API Commons Rate Limits specification.
It captures 2 rate-limit definitions, measuring requests.
The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.
Tagged areas include AI, LLM, Evaluation, LLM Evaluation, and Open Source.
Limits
Policies
Sources
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/uptrain-rate-limits"
curl "https://apis.io/api/v1/rate-limits?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.