Global market data built for developers

TickerLayer is a market data API for developers. It gives you access to multiple asset classes (stocks, forex, crypto, commodities, and CFD-style instruments) through clean REST endpoints and, where supported, WebSocket streaming. Instead of stitching together different providers, symbol formats, and streaming services, you work with one consistent API and get from idea to a working integration in hours, not weeks.

TickerLayer covers stocks, forex, crypto, commodities, and CFD-style instruments, all exposed through the same API structure. Each asset class has a symbol discovery endpoint so you can see exactly what is available rather than guessing. Because the integration pattern is shared across markets, adding a second or third asset class to your product does not mean starting over.

Yes. Use REST for quotes, snapshots, symbol lists, and any backend request where you need data on demand. Use WebSocket, where supported, for live experiences like watchlists, price tickers, and monitoring screens. Most teams start with REST and add WebSocket subscriptions later, and they can do both on the same platform without re-architecting.

TickerLayer is built for developers and the teams around them: fintech startups, SaaS products, quant researchers, and anyone building trading or analytics tools. The focus is fast onboarding, clear docs, and predictable JSON responses you can test in minutes. It is a good fit when you want to ship market data features quickly without standing up your own data infrastructure.

Yes, and we recommend it. Grab an API key, follow the examples in the docs, and call the symbol endpoints to see real responses. Before going live, validate the things specific to your workflow (symbol coverage, data freshness, plan limits, and entitlements) so you know the integration behaves the way you expect once it is in front of users.

Traditional setups often mean a separate integration, contract, and data format for every market. TickerLayer replaces that with one unified API across asset classes, built for practical product work such as dashboards, internal tools, and analytics rather than heavyweight enterprise plumbing. The result is less integration overhead, faster iteration, and support that actually responds.