Monitoring as code
Build and update API monitoring with developer tooling.
Update monitoring, manage users, build API call workflows, and keep applications monitored as fast as your team can type.
The APIContext CLI gives developers a direct connection to API monitoring, so local changes can be pushed into active projects without leaving the development workflow.
Install with Homebrew (brew install apimetrics/tap/apimetrics), winget (winget install APIContext.APImetricsCLI), or a GitHub release binary for macOS, Linux, and Windows. Manage schedules, API call structures, projects, and alerting directly through the command line or with your favorite AI agent harness.
apimetrics project select apimetrics list-monitors -o json apimetrics bulk pull apimetrics skills install --claude-skills
Critical application workflows often take 3 to 10 API calls. Use call-builder and workflow operations from the CLI to keep monitoring aligned with the journeys your users depend on.
Manage user access, role management, view/edit operations, new projects, and existing projects with granular controls. For CI and other headless runs, sign in with a service account (--service-account <file> or APIMETRICS_SERVICE_ACCOUNT) and name the project with --project-id.
Build and update API monitoring with developer tooling.
Create and manage multi-step API workflows directly from the terminal.
Manage alerting configuration alongside API call structures and schedules.
Control users, roles, and permissions through CLI operations.
Push local monitoring changes into active projects quickly.
Run apimetrics skills install --claude-skills to add eight operational skills to Claude Code, or use --claude-code or --codex. Other agents can read the AGENTS.md file.
CLI workflows fit into developer terminals, project automation, and operational control loops
Use the APIContext CLI to build, update, and control monitoring wherever your developers already work.