TestRelic Documentation
An AI-native test analytics platform — a terminal Ask AI agent (the CLI) and its desktop companion (Studio) set up SDK reporters and a cloud platform for AI insights, monitoring, and integrations.
The CLI puts an Ask AI agent in your terminal — one command inspects your project, wires up the right SDK reporter, runs your suite once, and opens Studio, its desktop companion. Every run flows to a cloud platform for AI analysis, monitoring, and integrations — queryable from the CLI, Studio, or an MCP-connected IDE.
Both are cloud products, so both need a subscription: the CLI requires the Growth plan or above, Studio requires Pro or above, and an active 14-day trial covers both. Plans & billing.
curl -fsSL https://testrelic.ai/install.sh | shGenerates the data
TestRelic core
The heroGet started in three steps
Start a cloud plan or trial
The CLI needs Growth or above; Studio needs Pro or above. A 14-day trial covers both while it runs. Do this first — neither app answers without it.
Plans & billingInstall the CLI and run testrelic init
It inspects your project, wires up the matching SDK reporter, runs your suite once, and opens Studio on the repo — no manual SDK setup.
Install the CLISign in and connect your repo
Sign in from the CLI or Studio to reach AI insights, monitoring dashboards, and the full Session Workspace for every run.
Cloud onboardingWhat TestRelic captures
Navigation timelines
Every page visited, in order, with timing and network stats.
API tracking
Method, URL, status, headers, bodies, and timing for HTTP calls.
Device data
Mobile device logs, screenshots, and video from Appium and Maestro runs.
Failure diagnostics
Error messages, source snippets, and CI metadata for every failure.
LLM evaluations
DeepEval results captured alongside your functional tests.
Explore by section
CLI
The Ask AI agent in your terminal, with a full MCP host — the fastest way in.
Studio
The native desktop GUI companion to the CLI — the flagship local workspace.
SDKs
Reporter packages for every framework and language.
Cloud Platform
Dashboards, Session Workspace, billing, and account settings.
Memory (AI)
Ask AI, AI Insights & Artifacts, and per-repo Memory.
MCP
Give AI coding agents live access to your test data.
Monitoring
Smoke, regression, and nightly observatory quality gates.
Integrations
GitHub Actions, Jira, Slack, MS Teams, Grafana Loki, and more.
Using an AI coding assistant?
Wire the TestRelic MCP server into Cursor, Claude Code, or any MCP host so your assistant can read runs, coverage gaps, and failure context directly from your cloud data.