If you are a developer evaluating market data, the first hour decides a lot. You want to read the docs, make a request, and see real data come back before you commit to anything. Most of the friction in this space is incidental: inconsistent schemas, auth that fights you, and pricing that assumes you are a hedge fund. This page is about removing that friction so you can get to the part you actually care about.
The problem
Developers evaluating market data face a maze of per-source APIs, inconsistent schemas, and pricing built for institutions. They want one well-documented surface, a free tier to prototype on, and SDKs that just work.
How SiftingIO handles it
One REST and WebSocket surface covers every market under the same JSON schema and bearer token. A free tier on every product covers prototyping, first-party SDKs for Go, Python, and TypeScript wrap the data plane, and versioned endpoints keep client code stable as the platform grows.
One surface across every market
There is one REST and WebSocket API, one JSON schema, and one bearer token across crypto, forex, stocks, commodities, DEX, and fundamentals. You learn the shape once and it applies everywhere, so moving from a weekend crypto prototype to a multi-asset product does not mean learning a second API and rewriting your client.
SDKs that carry the types for you
First-party SDKs for Go, Python, and TypeScript wrap the data plane with native types for every field, so you get autocomplete and compile-time checks instead of hand-rolling a client and guessing at response shapes. The same auth and tier limits apply whether you reach for an SDK or call the endpoints directly with your own HTTP client.
A free tier you can actually build on
Every market has a free tier sized for real prototyping, not a token demo that runs out before you have shipped anything. When the app grows, pricing moves up per market on a predictable monthly quota, so the bill tracks usage in a line you can reason about instead of jumping at you when you cross some hidden threshold.