UpTrain · Rate Limits

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, in the API Commons Rate Limits shape.

It captures 2 rate-limit definitions, measuring requests.

An exhausted limit returns HTTP 429.

This profile was written by API Evangelist and has not been verified against a page the provider published; treat every limit as unconfirmed until a dated transcription replaces it.

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.

2 Limits Exhausted: HTTP 429
Method: generated, dated 2026-06-20.
Written by API Evangelist on 2026-06-20 and not verified against a page the provider published. Treat every limit as unconfirmed until a dated transcription replaces it.
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AILLMEvaluationLLM EvaluationOpen SourceRate LimitingQuotasThrottling

Limits

Managed Evaluation Requests account
requests
see provider documentation
No documented per-account limit for the managed evaluate / log_and_evaluate endpoints.
Upstream LLM Grading Limits account
requests
depends on configured LLM provider
In the open-source framework, grading calls go to your own LLM provider key and inherit that provider's rate limits.

Policies

Provider-Bound Limits
Open-source evaluation throughput is bound by the upstream LLM provider's rate limits, not by UpTrain itself.
Backoff Strategy
Clients should implement exponential backoff with jitter and honor Retry-After on 429 responses.

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.
All 92 tools →

Call it yourself

curl for this page
This rate limit 
curl "https://apis.io/api/v1/rate-limits/uptrain-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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