Ask an AI without Sugra
"Analyze Tesla's outlook this quarter."
The model searches the open web. Pulls a price from a finance article published yesterday. Mixes it with opinion blogs, forum threads, and cached snippets. Quotes a metric from last earnings season as if it were current. No timestamps. No source provenance. Invents the numbers it cannot find cleanly.
Ask an AI with Sugra
"Analyze Tesla's outlook this quarter."
The same model calls /quotes/TSLA, /fundamentals/TSLA, /news/TSLA, /macro/cpi, and /commodities/lithium. Live price with timestamp, latest 10-Q numbers, fresh news, sector context, supply-chain inputs - all from primary sources. One grounded answer in seconds.
Anyone with an AI account
Personal AI helpers
Add your Sugra API key to ChatGPT, Claude, or Gemini and ask any cross-domain question. The AI calls Sugra directly for source-grounded answers - no random web search, no stale information, no invented numbers. Works the same whether you are tracking a stock, watching commodities, or checking macro indicators.
5 minutes - no code
Builders and engineers
AI agents and custom apps
Native MCP server, OpenAI function-calling, Anthropic tool-use, and an OpenAPI 3.1 spec - whichever your stack speaks. Agents pick the right endpoints from 1476 automatically, call them in parallel, and assemble grounded answers from primary sources. Same envelope, every domain.
MCP - function-calling - OpenAPI
Operations and risk
Industry integrations
Logistics dispatchers checking weather and disaster alerts before routing. Ports tracking vessel activity and trade flows. Insurers pricing risk against earthquake, fire, and storm feeds. Supply-chain teams reading commodity prices and geopolitical news. One API replaces a dozen vendor contracts.
Weather - disasters - trade - vessels
Data and product teams
Internal apps and dashboards
Internal BI dashboards, executive reports, finance ops, research desks. Pull macro indicators, market data, news sentiment, and commodity prices into one view without managing ten separate integrations. LLM-ready output drops straight into your visualization layer or report generator.
BI - reports - research - ops
Buying separate APIs for each domain is expensive. Building it yourself is slow - and then you maintain it forever. Using Sugra is one key, one envelope, one bill - across every domain that drives a decision.