APIScout

APIScout is an AI aggregators tool. APIScout sends a single prompt to ChatGPT, Gemini and Claude at once, then shows the three responses side by side with per model parameter controls and support for bring your own API keys.

APIScout is a web based comparison surface for the three most used large language model families: OpenAI's ChatGPT (with GPT-4o, GPT-4o mini, GPT-4 Turbo, GPT-4 and GPT-3.5 Turbo engines), Google's Gemini (2.5 Pro, 2.5 Flash and 2.0 Flash) and Anthropic's Claude (Sonnet 4.5, Opus 4.1 and Haiku 4.5). Instead of switching browser tabs or maintaining three separate chat histories, a single prompt is dispatched to each provider and the responses line up next to each other for direct inspection. The design assumes the user brings their own keys. Separate fields accept an OpenAI key, a Gemini key and an Anthropic key, and a save option keeps them on hand for later sessions. Every model column exposes the parameters that matter for tuning output: temperature, top_p, top_k, frequency penalty, presence penalty, max output tokens and model selection differ slightly by provider, and APIScout mirrors each vendor's own naming so the settings map cleanly back to the underlying API. A per provider opt out lets a user drop one engine from a given run, and an option to log output for later download suggests runs can be archived rather than read once and lost. The obvious audience is developers and prompt engineers who need to see how the same instruction lands across vendors, or who want a rough sense of response timing and token usage before committing to an integration. The pitch also extends to non technical users who want a second and third opinion on a piece of writing without learning three interfaces. Prompts can be long: the input field accepts up to 20,000 characters, which suits pasted documents and lengthy system style instructions. Where APIScout fits is the small but crowded niche of model playgrounds and routing dashboards. It is narrower than a full evaluation platform (no scoring rubrics or batch datasets are advertised) and narrower than a general chat client, but it is more transparent than a consumer app that hides the model layer. Users still pay each provider for their own usage, and the tool's value depends on having keys for all three services. As a quick side by side sanity check before a build decision, that is a reasonable trade.