If you’ve ever tried integrating a new LLM API under a deadline, you know the real friction isn’t “understanding what the model can do.”
It’s everything around it: request structure, streaming, error handling, tool calls, vision inputs, and the thousand tiny decisions that turn “hello world” into a feature you can ship.
That’s why I liked ClaudeAPI.net. It’s a straightforward, developer-oriented reference site that focuses on the parts you actually touch when wiring Claude into an app—without making you bounce between a dozen pages just to confirm one parameter.
Website: https://claudeapi.net/
What ClaudeAPI.net is (and what it isn’t)
ClaudeAPI.net reads less like a marketing page and more like a working developer notebook: a compact reference you can keep open while you build. The goal isn’t to overwhelm you with theory—it’s to make it easier to go from “I need to call Claude” to “this endpoint is working in my codebase.”
It’s not trying to replace official documentation. Instead, it’s the kind of site you reach for when you want:
a fast refresher on how a request/response is shaped,
a reminder of how streaming events are handled,
a clear mental model of tool use / function calling,
and practical notes that reduce trial-and-error.
The problems it helps with (real-world integration pain)
Most Claude API integrations hit the same speed bumps:
Messages API structure
You can conceptually understand messages, but still mess up the details: roles, content arrays, attachments, and how your output is returned. A clean reference is surprisingly valuable here.Streaming output
Streaming is the difference between “the UI feels alive” and “the UI feels stuck.” But implementing streaming correctly (especially across different runtimes) is where many devs lose time.Tool use / function calling
This is where Claude becomes a “doer” instead of a “talker”—but it also introduces complexity: schema design, tool results, retries, and safety constraints.Vision inputs
Image input is a big feature, but it comes with its own conventions (formats, payload size, and how to structure prompts around images).
When a site is organized around those pain points, it naturally becomes the kind of reference you keep open in a second tab.
Who it’s best for
ClaudeAPI.net is most useful if you’re:
building a small product or internal tool and need to integrate Claude quickly,
prototyping and comparing approaches (streaming vs. non-streaming, tool calls, vision),
onboarding teammates who need a practical starting point,
or just tired of losing time to “one missing field” mistakes.
If you’re doing deep platform work or need full policy/limits details, you’ll still rely on the official docs. But as a day-to-day “builder’s reference,” ClaudeAPI.net is convenient.
How I’d use it in a workflow
A simple, effective workflow looks like this:
Keep the official docs as the source of truth for policy/limits.
Use ClaudeAPI.net as the “implementation cheat sheet” while you code.
Once your first version works, save your own internal snippets for your team.
In practice, the best developer docs are the ones that reduce context switching—because context switching is what kills velocity.
Final thoughts
There are tons of LLM resources online, but most are either too shallow (“here’s a basic cURL request”) or too sprawling (you spend 30 minutes finding the one thing you need). ClaudeAPI.net sits in a nice middle ground: practical, focused, and developer-friendly.
If you’re building with Claude and want a compact reference to speed up integration, it’s worth bookmarking:
