Uptrain Finops
FinOps view of UpTrain spend. The open-source framework carries no license cost (Apache-2.0); the dominant cost when self-hosting is the upstream LLM provider spend incurred by grading calls (each check issues one or more LLM requests against your own OpenAI / Anthropic / Azure key). The managed UpTrain service adds a usage-based charge that is not publicly documented. The primary FinOps lever is controlling the number and model of grading calls.
Uptrain Finops is the FinOps profile for UpTrain on the APIs.io network, aligned with the FinOps Foundation Framework.
It defines 3 billable meters, billed in USD, on a monthly cycle, and pricing category usage-based.
The profile maps 8 FOCUS columns for cost-allocation reporting.
Tagged areas include AI, LLM, Evaluation, LLM Evaluation, and Open Source.
Framework Alignment
Charge Categories
FOCUS Columns
Meters
Sources
- https://uptrain.ai/
- https://github.com/uptrain-ai/uptrain
- https://docs.uptrain.ai/
- https://focus.finops.org/focus-specification/v1-3/
Work with this as data
Every finops artifact 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 finops
4 MCP tools reach this
find_finopsBrowse and filter every finops artifact 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/finops/uptrain-finops"curl "https://apis.io/api/v1/finops?limit=25"Discovery needs no key. Ratings and market analysis are Pro.