One API across markets, economics, commodities, climate, government, and global news. 1,400+ endpoints, 146 primary sources, LLM-ready JSON.
Sugra API is a data API that aggregates 1,600 endpoints across 36 domains from 166 primary sources, including central banks, exchanges, and government agencies. It is organized into seven product directions: Sugra Finance (equities, options, volatility, crypto, commodities, forex, and fundamentals), Sugra Macro (central bank data, national statistical agencies, trade, and public finance), Sugra Entity (KYB and entity screening, sanctions, PEP signals, LEI and VAT resolution), Sugra NetAtlas (IP, ASN, BGP, RPKI, Tor, and privacy intelligence), Sugra News (curated news feeds and GDELT event data), Sugra Earth (weather, climate, disasters, energy, and satellite data), and Sugra Research (arXiv, NBER, Crossref, and development indicators). All directions are accessible under a single API key and a consistent, LLM-ready response envelope.
The API is agent-native, offering a hosted, OAuth-gated MCP server (also installable via PyPI for self-hosting) that lets AI agents search, describe, and call the catalog as native tools, with compatibility stated for Anthropic Claude, OpenAI GPT, Google Gemini, and xAI. It is also published in the OpenAI Plugins Directory. Commercial use is permitted on every tier.
Pricing consists of four tiers, from Free to Enterprise, with volume-only differentiation and no feature gating between tiers. Stated use cases include AI agents, fintech applications, research desks, and internal dashboards.
Yes, Sugra offers a Free tier intended for prototyping, with four total tiers from Free to Enterprise.
Pricing is volume-only across all four tiers, with no feature gating between plans.
Sugra ships a hosted MCP server and a self-hostable version via PyPI, and works with Anthropic Claude, OpenAI GPT, Google Gemini, xAI, and any MCP-native IDE.
It covers 36 domains such as markets, economics, entity screening, network intelligence, news, physical/climate data, and research, drawn from 166 primary sources including central banks, exchanges, and agencies.
It's built for AI agents, fintech apps, research desks, and internal dashboards, per the site's stated use cases.
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