Apidog CLI vs inso (Insomnia CLI): Which API Test Runner for CI?

Picking a CLI test runner for your pipeline comes down to a simple question: what already runs your APIs in development, and what do you need automated in CI? If your team lives in Insomnia, inso is the obvious companion. If you want one platform that designs, mocks, documents, and tests, the Apidog CLI changes the calculation.

What each tool is

inso is the command-line companion to Insomnia, Kong’s open-source API client. It brings three things into the terminal and CI: running request collections, running unit-test suites, and linting OpenAPI specs. It reads from the same data your Insomnia desktop app uses, so if you build requests in the GUI, inso runs them headless.

Apidog CLI is the terminal runner for Apidog, an all-in-one API platform that covers design, debugging, mocking, documentation, and testing in one workspace. The CLI executes test scenarios and collections from a project, supports data-driven runs, and emits reports in several formats. It can also import OpenAPI and manage API resources like endpoints, schemas, and branches as code.

The core difference shows up before you run a single test. inso is a focused runner plus a linter for the Insomnia ecosystem. Apidog CLI is the test surface of a broader platform.

Apidog CLI vs inso: the comparison table

The table is the short version. The sections below explain the differences that actually matter when you wire either one into CI.

Install: brew and Docker vs the Apidog installer

inso ships through several documented channels. The common ones:

# Homebrew
brew install inso

# Docker
docker pull kong/inso:latest

There are also direct downloads for Windows, Linux, and macOS. Historically inso was on npm as insomnia-inso, but Homebrew, Docker, and the direct downloads are the paths Kong documents today. The Docker image is handy for CI runners where you don’t want to manage a Node toolchain.

Apidog CLI installs from the Apidog download page and runs scenarios that live in your Apidog project. Because tests are tied to the project, the CLI pulls the current definition rather than reading a local folder you have to keep in sync by hand. If you want the full walkthrough, the Apidog CLI installation guide and the complete CLI guide cover setup end to end.

What each runs, and where it reads from

This is the biggest practical split in the apidog cli vs insomnia cli decision.

inso references suites and specs by name. You point it at a design document or collection by its display name, and it finds the definition in a .insomnia directory in your working directory (created by Insomnia’s Git Sync) or in the Insomnia app’s data directory if the app is installed. You override the location with --workingDir or --src.

inso run test "Smoke Suite" --env "CI"
inso run collection "User API" --env "Staging"
inso script seed-data --env env_staging

The name-based model is clean if your team commits the .insomnia folder and treats it as the source of truth. It does mean your CI checkout needs that folder present, and names have to stay stable.

Apidog CLI runs test scenarios that live in the Apidog project. You authenticate with a login or access token, then run a scenario or collection against a chosen environment. The definition comes from the project, so the same scenario your team built in the GUI is what runs in CI, no folder to commit and keep aligned.

apidog run -t <scenario-or-collection> -e <environment>

Neither model is wrong. inso favors a Git-committed local folder. Apidog favors a synced project of record. Pick the one that matches how your team already shares API definitions.

Data-driven testing

If you need to run the same scenario across many input rows, this matters.

Apidog CLI supports data-driven testing directly with -d, pointing at a CSV or JSON dataset. Each row becomes an iteration with its own variables, so one scenario covers dozens of cases.

apidog run -t "Checkout Flow" -e "Staging" -d ./datasets/orders.csv

The full pattern, including how variables map to columns, is in data-driven testing with the Apidog CLI.

inso does not expose a data-driven flag in its run commands. You can parameterize through environments, and you can drive iterations by scripting around inso in your CI job, but row-by-row CSV/JSON iteration is not a first-class CLI feature the way it is in Apidog. If iteration over a dataset is central to your suite, that is a real difference to weigh.

Reporters: what you get back

Reports are how CI tells you what happened. Both tools fail the build on a failing assertion, but they differ in output formats.

Apidog CLI produces reports in CLI, HTML, and JSON. The CLI format is fine for quick log scanning, HTML gives you a shareable artifact, and JSON feeds dashboards or downstream tooling. You can also push results to the cloud with --upload-report for a hosted, linkable report. The Apidog CLI test reports guide walks through each format.

inso prints test results to the console and signals pass/fail through the exit code, which is what most CI systems key on. That covers the core need. If you want a rich HTML artifact or a hosted report without extra tooling, Apidog gives you more here.

Linting: the honest comparison

This is where inso has a genuine edge, and it would be a disservice to pretend otherwise.

inso lints OpenAPI specs with inso lint spec, and the linter under the hood is Spectral, Stoplight’s well-known OpenAPI linter. That means you can enforce a style guide, catch contract problems, and gate merges on spec quality, all from the same CLI that runs your tests.

inso lint spec "Payments API"
inso export spec "Payments API" --output openapi.yaml

For teams that practice spec-first design and want lint rules enforced in CI, this is a strong, real reason to choose inso.

Now the honest counterpart for Apidog. The Apidog CLI does not have a standalone OpenAPI linter, style-guide, split, join, or bundle command. Apidog validates specs when you import them, which catches structural problems, but that is validation on import, not a lint command you run against a style guide in CI. Do not expect Apidog’s CLI to replace Spectral. If contract linting in the pipeline is a hard requirement and you don’t have a separate Spectral step, inso covers it and Apidog does not.

Where Apidog earns its place instead is integration and resource management, which is the next section.

Resource and branch-as-code

Apidog CLI can do something inso does not: manage API resources as code. From the terminal you can import OpenAPI and work with endpoints, schemas, environments, branches, and merge requests. That lets you script API design changes and tie them into the same automation that runs tests.

inso stays in its lane as a runner and linter. It can export a spec, but it is not a resource-management CLI for editing endpoints or managing branches.

For teams that want their API definition and their test runs governed by the same CLI, Apidog’s resource-as-code surface is a meaningful advantage. It is part of why the inso vs apidog choice often turns into a platform question rather than a runner question.

Platform integration, open source, and pricing

inso is part of an open-source ecosystem. Insomnia itself is open source, which appeals to teams that want to inspect or self-host their tooling. Worth an honest note for planning: Insomnia 8 in 2023 introduced a required cloud/login account that drew backlash, and there were migration and data-loss incidents around that period. If your team weighs those events, our writeups on Insomnia data loss recovery and migration and how to recover and export Insomnia data cover the details. None of that changes the fact that inso the CLI is a solid, free runner with Spectral linting built in.

Apidog is a commercial platform with a free tier. Its pitch is integration: you design, mock, document, debug, and test in one place, and the CLI is the automation surface for that workspace. You don’t stitch a separate design tool, mock server, and runner together. For a broader product view, see Apidog vs Insomnia and Insomnia vs Apidog. If you want to try the runner against a live API first, how to use Insomnia to test an API and the test a REST API from the command line guides are good starting points.

CI wiring, briefly

Both tools drop into a pipeline the same way: install, authenticate or point at your data, run, and let the exit code gate the build.

# inso in CI
- run: brew install inso
- run: inso run test "Smoke Suite" --env "CI"

# Apidog CLI in CI
- run: apidog run -t "Smoke Suite" -e "CI" -r html,json

If you are building this out, the Apidog CLI CI/CD pipeline guide and the GitHub Actions walkthrough cover auth, caching, and report upload. Authentication specifics for the runner live in the Apidog CLI authentication guide.

The verdict

There is no single winner. The honest call splits by how your team works.

Choose inso if you already live in Insomnia, commit a .insomnia folder, and want Spectral spec linting enforced in CI from the same tool that runs your tests. The open-source ecosystem and the built-in linter are real strengths, and a free, name-referenced runner fits Insomnia-first teams cleanly.

Choose the Apidog CLI if you want one platform for design, mock, docs, and test, with data-driven runs via -d, richer reporters (CLI, HTML, JSON, plus hosted reports), and resource and branch management as code. You give up a standalone CLI linter, but you gain an integrated workflow where the thing you design is the thing you test. Migrating an existing setup is straightforward; see migrate from inso (Insomnia CLI) to Apidog CLI.

Ready to compare hands-on? Download Apidog and run a scenario against your own API.