
Building Financial AI Agents With Real-Time and Historical Market Data
Why financial AI agents need structured market data APIs instead of web search, and how to wire prices, OHLCV, and fundamentals in as agent tools.
4 posts on market-data-api from the SiftingIO market data blog, spanning real-time and historical coverage across stocks, forex, crypto, commodities, and on-chain venues.

Why financial AI agents need structured market data APIs instead of web search, and how to wire prices, OHLCV, and fundamentals in as agent tools.

Get real-time forex prices in Python: a requests call for a snapshot, a websockets feed for live updates, the official siftingio SDK with sync and async clients, and buffering ticks into a pandas DataFrame.

Gold and oil spot prices from one API call. How SiftingIO symbols commodities (XAUUSD, WTIUSD), how to read a last trade or quote, and how the published price is aggregated across venues.

REST or WebSocket for live market data? A plain guide to how each works, when to pull on demand versus stream, why fast polling scales badly, and how to use both together.