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API integration

TopstepX API libraries with consistent behavior

Three language clients, one behavior contract for authentication, errors, retries, and real-time connections.

By 3 min read

An API client needs to do more than send an HTTP request. It also needs to handle authentication, interpret failures, respect rate limits, and decide which operations can be retried when a connection breaks.

Curtis Tech Solutions built Python, Go, and Rust libraries for the ProjectX Gateway API as deployed by TopstepX. The public project uses a shared behavior contract so developers can understand those decisions across all three implementations. Its focus is integration engineering: account access, order operations, and real-time data.

Define behavior across languages

Each language has its own conventions for method names, types, and error handling. The clients follow those conventions while sharing a specification for what an operation means and how its result should be interpreted.

The contract covers response fields, authentication, validation, rate limiting, and retries. A developer switching from Python to Go should be able to recognize the same operation and understand its failure behavior without rediscovering every integration decision.

The specification also records uncertainty in upstream documentation. Keeping that uncertainty explicit helps avoid turning an assumption in one implementation into an undocumented promise in all three.

Make authentication a client responsibility

The libraries manage login and token renewal around authenticated requests. When multiple requests need a refresh at the same time, they wait for one renewal operation instead of starting competing logins.

Request validation happens before network activity, including login. This means a locally detectable request error can be returned without first spending a network round trip on authentication. The client checks the documented rules while leaving the server as the final authority.

Rate limiting is handled per client instance. That scope matters: several independent processes do not automatically share one limit just because they use the same library. The documentation makes the boundary visible to the application developer.

Treat retries as a design decision

A connection failure does not always establish whether the server performed an action. The shared policy distinguishes read operations from writes when deciding how to respond to transport failures or temporary gateway errors.

For those failures, the clients can retry reads within a bounded budget. They do not automatically repeat writes that may already have executed. Separate rules handle authentication failures and throttling responses. This makes retry behavior a documented part of the client rather than a blanket setting applied to every request.

The clients also inspect the API’s business result. An HTTP success status can still carry a rejected operation in the response body. High-level methods turn that result into an error the calling application can handle.

Connect request-response and live data

Alongside REST operations, the project supports the user and market SignalR hubs for real-time connections. Applications need both forms of communication: explicit requests for information or actions, and incoming updates as conditions change.

These independently developed CTS clients provide integration building blocks, with examples and documentation in each language directory. The broader engineering lesson is that a useful client library carries a clear behavior contract around the API it wraps. Its users can build around documented decisions and understand where their own application takes responsibility.

Connecting your software to an external API?

We can help define authentication, error handling, retries, and real-time updates before they become scattered across your application.

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