Trading platform
Trading platforms and exchanges
Power live charts, order tickets, and watchlists with real-time and historical quotes across stocks, forex, crypto, and commodities under one schema.
Read scenarioResources · Use cases
Market data API use cases for real products
Explore how trading platforms, fintech apps, research teams, AI agents, dashboards, and enterprise data platforms use SiftingIO's market data APIs across stocks, FX, crypto, commodities, DEX, and fundamentals.
Portfolio & wealth platform
Portfolio and wealth dashboards
Value multi-asset holdings and track performance with live and historical prices across stocks, forex, crypto, and commodities in one schema.
Read scenarioCrypto wallet & fintech app
Crypto wallets and fintech apps
Embed live crypto and FX rates into wallets, payment quotes, and end-user fintech flows worldwide, under predictable per-market pricing.
Read scenarioForex broker / FX infra
Forex brokers and FX infrastructure
Drive pricing screens, conversion engines, and reconciliation with real-time and historical FX and metals, including end-of-day fixings.
Read scenarioAnalytics & research platform
Market analytics and research platforms
Feed analytics tools, screeners, and research platforms with a unified, multi-asset feed across stocks, forex, crypto, commodities, and on-chain fundamentals.
Read scenarioBacktesting & strategy system
Backtesting and strategy testing systems
Backtest systematic strategies on tick and OHLCV history, then feed the same canonical signal to live consumers with one credential.
Read scenarioAI agent & intelligence product
AI agents and financial intelligence products
Power AI agents, copilots, and intelligence products that quote, analyse, and reason over real markets through a single tool definition.
Read scenarioDeveloper / indie builder
Financial data APIs for developers
Build any product on real-time and historical market data with one credential, one JSON schema, and first-party SDKs for Go, Python, and TypeScript.
Read scenarioSame data, same SLA, same schema
See your scenario in here?
Most teams find one of the eight above lines up with their workload. Start with the matching product, mix asset classes when you need to, and reach out if you want a closer look at how a similar team set up their stack.