NetworkSpy
NetworkSpy is built for modern API debugging where raw JSON isn’t enough, especially for AI and streaming traffic. It includes dedicated viewers for OpenAI-compatible chat and completions endpoints, turning messages, tool calls, choices, and streaming chunks into a structured, readable interface. That focus can save significant time compared with general-purpose HTTP inspectors when the real question is “what did the model see and return?”
A standout advantage is its Custom Viewer Builder, which lets teams create their own interpretation layers on top of captured traffic. Instead of each developer mentally decoding the same payloads, you can standardize what matters and make complex APIs easier to onboard. Those viewers can be shared and versioned via GitHub so the whole team stays aligned.
NetworkSpy is also a good fit when the boundary between “network debugging” and “product behavior debugging” blurs, such as GraphQL-heavy apps or streaming protocols. The trade-off is that it’s less about broad device-level MITM workflows and more about making specific classes of traffic instantly understandable. If your day-to-day debugging revolves around LLM calls and structured views, it can feel purpose-built in a way a general tool doesn’t.
Best for
Best for AI app developers and teams debugging LLM, GraphQL, and streaming API traffic.
Standout features
- ✓LLM-specific chat and completions viewers
- ✓Streaming chunk visualization
- ✓Custom Viewer Builder for decoded payloads
- ✓GitHub-versioned viewer sharing
- ✓Modern API traffic introspection
