Workflow verification for API teams

API workflows,
verified as code.

Let AI draft a multi-step workflow, run it in VS Code, inspect every trace, and promote the same TypeScript to CI and continuous verification when the team needs shared signal.

Real TypeScript output. No DSL. No throwaway workflow builder.

Ready to share runs with the team? .

Multi-step workflow

checkout + promo + webhook verification

Example output
authenticate
create cart
apply promo
checkout
verify side effects

Generated workflow

AI draft
test("checkout-flow")
  .step("login", async ({ http }) =>
    http.post("/auth/login").json()
  )
  .step("create-cart", async ({ http }, { token }) =>
    http.post("/cart", { json: { token } }).json()
  )
  .step("apply-promo", async ({ http }, { cartId }) =>
    http.post("/cart/promo", {
      json: { cartId, code: "AMBER10" }
    })
  )
  .step("checkout", async ({ http, expect }) => {
    const order = await http.post("/checkout");
    expect(order).toHaveStatus(201);
    expect(order.body.webhookDelivered).toBe(true);
  });

Prompt

"Verify checkout with promo code and webhook delivery."

Output

Real TypeScript, ready to review, edit, and keep.

End state

Same file runs in VS Code, CI, and Cloud.

Why workflow matters

Most breakages live between steps.

The failure is rarely one endpoint in isolation. It is auth plus setup plus a mutation plus the thing that should happen next. Glubean is built for that chain, end to end.

What gets lost

Single checks miss what breaks between auth, setup, mutation, and follow-up validation.

Reusable workflows are hard to keep clean when they start as disposable request history.

Teams lose confidence when local checks, CI checks, and production monitors all diverge.

What workflow verification adds

Model the actual path your product depends on, not just one endpoint at a time.

Keep the output as real TypeScript so you can edit, diff, review, and debug it.

Promote the same workflow from VS Code to CI and continuous verification without a rewrite.

How it works

Three steps. Same file everywhere.

01

Write in VS Code

Install the extension, describe a workflow or point at an OpenAPI spec. The AI agent drafts real TypeScript you can edit, run, and debug — all inside the editor.

glubean init → "verify checkout with promo"

02

Gate in CI

Add one line to your GitHub Actions (or any CI). The same test file runs with glubean run, no rewrite needed. Secrets are automatically redacted before upload — credentials never leave your machine.

glubean run tests/ --upload

03

Monitor in Cloud

When a workflow matters to the team, upload runs to Glubean Cloud. Get history, pass-rate trends, latency tracking, and alerts — attached to workflows you already understand.

app.glubean.com → Dashboard → Alerts

Shared signal

The same workflow keeps paying off.

Once a local workflow becomes important, Glubean Cloud turns it into team infrastructure. Runs, history, pass rate, latency, and alerts all stay attached to the same workflow the team already understands.

No rewrite when a local check becomes a CI gate.

Secrets are redacted before upload — your credentials never reach Cloud.

No new query language to learn when the workflow reaches production.

Latest workflow runs

synced across surfaces
WorkflowSurfaceStatus
signup-flowVS CodePassed
checkout-flowCIPassed
renewal-flowCloudWatching
refund-flowCloudFailed

Dashboard value

Pass rate97.8%

+4.2% this week

P95 checkout312ms

-35% after fix

Alerts2 active

email + webhook

VS Code

Author and debug

CLI

Gate CI and schedules

Cloud

Share signal with the team

The platform

One workflow model, multiple entry points.

Start in the editor, extend with the SDK, or add browser-driven flows — every tool writes the same TypeScript and feeds the same dashboard.

VS Code Extension

Run workflows where you write them, inspect traces inline, and debug without leaving the editor.

Learn more

SDK + Plugins

Build on the TypeScript core with reusable helpers, custom plugins, and deeper integration points.

Learn more

Browser Plugin

Extend the same workflow model to login flows, scraping, and browser-driven checks when the path needs a UI.

Learn more

Start with the workflow

Install locally now. Add shared verification when it earns the right.

Write your first workflow in minutes, run it locally, and add cloud verification when it matters.