Quantamentry has launched a new system that enhances data transparency by displaying the source and date for every number presented on its macro dataset pages. This system, built using public data from organizations like the World Bank and IMF, aims to build trust in data, especially for AI agents. Additionally, Quantamentry has introduced a public Model Context Protocol (MCP) server, allowing agents to directly query their data without web scraping, with rate limits and an optional API key for increased access. AI
IMPACT Enhances data accessibility for AI agents by providing direct API access and verifiable data sources.
RANK_REASON The item describes a new feature and API for an existing data service, not a novel model release or significant industry shift.
- Bureau of Industry and Security
- European Central Bank
- FRED
- GDELT Project
- International Labour Organization
- International Monetary Fund
- Model Context Protocol
- Next.js
- Organization for Economic Cooperation and Development
- Quantamentry
- Turkey
- World Bank
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