Trusted, source-cited data for AI agents
I build transparent, well-governed data feeds that AI agents can verify and safely cite — starting with a daily Argentina food & beverage price index.
What is this?
This site publishes machine-readable data designed for the agent web: every number carries its sources, coverage, methodology, and a fixed citation, so an AI assistant can use it and attribute it with confidence. It is maintained by Oscar E. López, Ph.D., a data/business-intelligence researcher and lecturer at UMass Amherst's Isenberg School of Management.
Why trust it?
Because the methodology is public, the data is updated daily with visible timestamps, and every response shows its provenance. The maintainer is a named academic in information systems and data administration, not an anonymous scraper. Read the full methodology and the data-ethics statement.
The first feed
A high-frequency Argentina food & beverage price index: a daily, transparent complement to official monthly statistics, built from public online retailer prices. The headline number is free; the full daily series and API/MCP access are available for agents and applications.
api.oscar-lopez.com. See the index page for tool details.