I came across this problem as everyone else that LLMs hallucinate numbers and stats and doing web search doesn't fix it either because numbers would be stale.
So I started working on this data layer for AI agents where they can pull real stats from agencies like World bank, Stats Canada, US Bureau of Labor Statistics, Eurostat etc.. through Starwell's one single API and/or MCP server.
Every number you pull comes with exact source citations, license, timestamp etc... You can also get answers through Starwell's analytics engine like "can you compare US, Canada, UK, Euro economies" it brings back number, chart, citation, and the Python it ran in a microVM.
I built 29 data sources and building more every week but looking forward to some feedback as I'd like to know if it really solves the problem I am aiming for
I came across this problem as everyone else that LLMs hallucinate numbers and stats and doing web search doesn't fix it either because numbers would be stale.
So I started working on this data layer for AI agents where they can pull real stats from agencies like World bank, Stats Canada, US Bureau of Labor Statistics, Eurostat etc.. through Starwell's one single API and/or MCP server.
Every number you pull comes with exact source citations, license, timestamp etc... You can also get answers through Starwell's analytics engine like "can you compare US, Canada, UK, Euro economies" it brings back number, chart, citation, and the Python it ran in a microVM.
I built 29 data sources and building more every week but looking forward to some feedback as I'd like to know if it really solves the problem I am aiming for