Mouse API (mouse-1)
$0.10 per 1M input tokensUsage-based, prepaid creditsOutput tokens are free; the same rate applies to every customer, with zero data retention included. Official source 1 ↗ · Official source 2 ↗
Website-checked tool profile
A fast decision model that scores options for agent harnesses instead of generating text.
Sources checked
Mouse-1 is a decision model from Mouse, offered through the Mouse API, for agent harnesses and AI-powered software. Instead of generating text, it reads the agent's state and scores up to 128 typed questions in one request (pick an option, a yes/no condition, or a rubric level), returning calibrated probabilities in about 100 ms. The idea is that the harness hands small control-flow decisions, such as which tool to load or whether a shell command is safe to run, to Mouse-1 while the main frontier model does the reasoning and code. Mouse also makes a separate mobile app for cloud coding agents.
Official source 1 ↗ · Official source 2 ↗ · Official source 3 ↗Output tokens are free; the same rate applies to every customer, with zero data retention included. Official source 1 ↗ · Official source 2 ↗
Inference on a model tuned on your own examples; tuning jobs and hosting are billed separately. Official source 1 ↗
Spend draws from a prepaid credit balance; at $0.00 the API returns HTTP 402 until you top up or auto-reload runs. Credits are added in amounts from $5 to $500, and auto-reload charges at most once per 24 hours. Official source 1 ↗ · Official source 2 ↗
Requests refused with 4xx validation, authentication or rate-limit errors are not billed. Official source 1 ↗
The Pro ($60/month) and Max ($200/month) plans on Mouse's pricing page are for its separate hosted cloud-agent app, not the mouse-1 API. Official source 1 ↗
Verified accounts get $5.00 in free starter credits at signup. Official source 1 ↗ · Official source 2 ↗
Auto-approving safe shell commands and blocking destructive ones in Cursor, Claude Code or OpenCode without editing prompts. Official source 1 ↗
Choosing which of many MCP tools or skills to load before calling the main model, to cut its input tokens. Official source 1 ↗
Classifying images or documents, such as content moderation, document routing, or reading what state a browser screen is in. Official source 1 ↗

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