AI-NATIVE API TEST FLOWS

Test APIs with context, history, and AI-powered diagnosis

Build readable test flows, reuse tokens and variables across requests, inspect historical results, and help your team understand why an API test failed.

Get Started

Open-source core, collaborative workspaces, and enterprise-grade diagnostics.

Context-aware test flow

Treat every request as one step in the same engineered workflow.

POST /auth/login

Bearer token forwarded automatically from the login step

GET /me

Session cookie injected into downstream requests

POST /billing/preview

tenantId variable captured from the previous response

x-trace-context propagated through the entire flow

Built for modern API teams

NORTHSTACK

VECTORLAB

AURORA API

SHIPYARD

LATTICE

STACKPORT

TRACEGRID

MERIDIAN

UNIT 47

ORBITAL

Core capabilities

Put API testing, historical insight, and team collaboration in one workspace

kest is not just a request sender. It unifies execution chains, reusable context, historical results, and team signals into one engineered testing system.

Visual Test Flows

See the full request chain, step health, and dependency relationships in one visual flow.

Context-Aware Requests

Carry tokens, cookies, headers, and variables forward without manual copy-paste.

Historical Results

Review execution history, timing, state changes, and regression trends over time.

Team Collaboration

Share flows, annotations, status signals, and workspaces across the whole team.

.flow.md Workflow Files

Keep test definitions readable like docs while remaining structured enough for AI.

AI Failure Diagnosis

Explain failures with request context, response data, and the surrounding execution chain.

Visualize the chain

See every test as a connected flow

Stop reasoning about one request at a time. Inspect the full test chain, request dependencies, variable propagation, and execution status step by step.

Flow-based request organization

Dependency visibility

Step-by-step execution tracing

Token and variable propagation

Explore visual flows

Flow canvas

Create auth.token and session.current

Identity

Read profile.id and assemble tenant context

Billing

Inject invoice_session from shared variables

Regression report

Publish failure summary and change impact

History and collaboration

Track results over time and keep teams aligned

Let the team inspect historical runs, failure records, release impact, and live collaboration state in one place so regressions are easier to triage together.

Execution history

Shared workspaces

Team status visibility

Comments and collaboration signals

Open shared workspaces

Team timeline

Today 09:42 · Billing regression failed

Lina added a comment: session refresh timing looks inconsistent

Marco confirmed the change came from auth-service@v2.18

Impacted flows: checkout-flow, billing-preview

AI + .flow.md

Readable workflows for humans, diagnosable by AI

.flow.md files keep test definitions readable like living documentation while exposing enough structure for AI to interpret context, explain failures, and speed up onboarding.

Human-readable test definitions

AI-readable structured workflows

Failure explanation with context

Faster debugging and onboarding

Review workflow examples

.flow.md snapshot

1flow "billing-preview" uses auth.login -> user.profile -> billing.preview

2capture response.token as session.current.token

3replay headers.authorization from session.current.token

4ai note: compare failure with last green run and auth refresh timing

Why teams switch

Designed for execution-heavy API teams that need clarity at scale

From context propagation to failure diagnosis, every layer is tuned for engineering speed, shared visibility, and trustworthy debugging.

10K+

test runs visualized

Keep every execution in one place, from urgent incident traces to long-lived regressions.

500+

teams collaborating

Shared workspaces, comments, and status streams keep engineering and QA aligned.

90%

faster debugging

Use context-aware history and AI explanations instead of manually replaying the chain.

100%

readable workflow files

.flow.md serves engineers, reviewers, and AI analyzers without extra translation layers.

Start building

Build smarter API test workflows with your team

Start with an open-source workflow foundation, then scale into team collaboration, execution history, and AI-powered diagnostics without changing tools.

Start Free

Open-source at the core, with room for stronger governance as API teams grow.