API Testing Agent · Workflow Testing

AI API Testing Agent — Build & Validate Multi-Step API Workflows

Pcloudy's API Testing Agent is a visual workflow builder. Design realistic end-to-end API flows, pass variables between steps with JSONPath, set custom pass/fail rules, and run entire collections as a regression suite.

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No code required Visual workflow builder JSONPath variable chaining cURL export

Book Device Workflow · 4 steps

POST

Step 1 · Authentication

{{baseUrl}}/auth/login

{{Token}} 200

GET

Step 2 · Get Device List

{{baseUrl}}/devices

{{deviceId}} 200

POST

Step 3 · Book Device

{{baseUrl}}/devices/{{deviceId}}/book

{{sessionId}} 200

PUT

Step 4 · Set Location

{{baseUrl}}/sessions/{{sessionId}}/location

200

Real APIs are sequential. Your tests should be too.

Most API testing tools treat every call as an isolated request. But real user flows look like: authenticate → fetch resource → mutate → verify. Each step depends on data from the last — and the response your API returns on a real Pixel 9 on 4G is not the same as what a desktop test runner sees.

Pcloudy's AI API Testing Agent is built for these workflows. Extract a token from a login response with JSONPath, pass it into the next request as {{Token}}, validate every step against custom pass/fail criteria — and execute the entire flow through real Android and iOS devices on real networks. No scripts, no glue code, no emulators.

QA, developers, and product teams all build the same way: visually, in the browser — backed by 5,000+ real devices.

Built for end-to-end API validation

Variable chaining

Extract any value from a response with JSONPath and reuse it in any later step.

Custom evaluation criteria

Go beyond HTTP 200 — assert on JSON values, response time, body contents, and more.

Collections as test suites

Group workflows from any project and run them together for regression and smoke tests.

From idea to passing test in four steps

The API Testing Agent abstracts the boilerplate. You focus on the business flow you're validating.

Create a project

Organize workflows into projects and folders. Use Private for yourself or Team to share.

Build your workflow

Add steps one at a time in the visual Workflow Builder. Configure method, URL, headers, body, and auth.

Chain variables

Extract values from each response with JSONPath. Reference them in later steps using {{variable}} syntax.

Run & report

Execute the workflow or a full collection. Get pass/fail per step, response times, and a cURL command for any request.

See the canvas, not a feature list

Three core surfaces do the heavy lifting — the request builder, the evaluation panel, and the collection runner. Here's what they actually look like.

Request Builder

POST{{baseUrl}}/auth/login

ParamsHeadersBodyAuthVariables

{
  "email": "qa@pcloudy.com",
  "password": "{{password}}"
}

Variables tab → extract $.token as {{Token}}

Form-based, no scripting

Method, URL, headers, body, auth — all in tabs. Reference variables anywhere with {{name}} syntax.

Evaluation Rules

Status Codeequals200

$.statusequals"success"

Body Containsincludes"orderId"

Response Timeless than500ms

Beyond HTTP 200

Stack rules per step — JSON values, body contents, response time. A 200 with the wrong payload still fails.

Collection Runner Running

Authentication182ms

Get Device List94ms

Book Device1.2s

Set Location—

2 PASSED1 FAILED

Run suites end to end

Bundle workflows from any project. Trigger from the UI or your CI pipeline.

Global Variables

Project-level constants like {{baseUrl}}. Switch staging ↔ production in one click.

Retry & Conditions

Retry counts, delays, and conditional execution for flaky endpoints.

1-Click cURL Export

Generate cURL for any step. Share with backend devs or paste into terminal.

Auth Out of the Box

Basic, Bearer, API Key or Custom Header. Set once and chain across steps.

Variable chaining

Pass data between steps with JSONPath

Most API tests fail because real flows depend on dynamic data — tokens, IDs, session keys. The API Testing Agent makes chaining trivial. Define a JSONPath in the Variables tab, give it a name, and use it anywhere downstream.

{{Token}} Extracted from $.token in your auth response
{{userId}} Extracted from $.user.id and reused in path params
{{baseUrl}} Project-level global — swap staging ↔ production instantly

Step 1 — Authentication response

{
  "token": "eyJhbGciOiJIUzI1NiIs...",
  "user": {
    "id": 42,
    "email": "qa@pcloudy.com"
  }
}

Extract: Token → $.token

Step 2 — Get Device List

GET {{baseUrl}}/devices

Authorization: Bearer {{Token}}
Content-Type: application/json

Criterion	Example
Status Code	Expected: 200
JSON Path Value	$.status === "success"
Body Contains	Response includes "orderId"
Response Time	Fails if > 5000ms

One platform for cross-platform testing

Mobile, Web, API & Database — all in Pcloudy

Already running mobile or web tests on Pcloudy? You can now validate the APIs and data behind them in the same workspace — same projects, same team, same reports.

Mobile

Real Android & iOS devices in the cloud — manual + automated testing.

Web

Cross-browser testing on real desktop and mobile browsers.

API

New

Visual workflows, variable chaining, evaluation rules — no scripting.

Database

Validate DB state alongside your UI and API runs in the same flow.

A single end-to-end test, across all four layers

Tap 'Book' on real device

API books the slot

DB row created

Web admin sees update

Best practices from teams running the API Testing Agent

Battle-tested patterns to keep your API suites fast, readable, and dependable.

Lead with auth

Always start with an authentication step that extracts a token. Every downstream step rides on it.

Use globals for environments

Put base URLs in {{baseUrl}} so you can switch staging ↔ production with one edit.

Assert beyond status codes

Set evaluation criteria on every step — a 200 with the wrong JSON is still a bug.

Test steps in isolation

Use the per-step Test tab to debug before running the whole workflow.

Export cURL for hand-offs

Send the failing step's cURL to your backend team. Faster than a Slack thread.

Separate suites by intent

Smoke, regression, and end-to-end deserve their own collections — not one giant blob.

Frequently asked questions

What is an AI API testing agent and how does it work?

An AI API testing agent is a tool that builds, executes, and validates multi-step API workflows without scripting. Pcloudy's agent lets you visually chain requests — authenticate, fetch, mutate, verify — extract values from any response with JSONPath, and reuse them as {{variables}} in later steps. Each step is validated against custom pass/fail rules (status code, JSON values, response time), and entire workflows can be replayed as regression suites on real Android and iOS devices.

How does Pcloudy's API Testing Agent differ from Postman?

Postman is great for ad-hoc requests, but real workflows need chaining, environment isolation, and real-device execution. Pcloudy's API Testing Agent runs entire workflows through 5,000+ real Android and iOS devices on real networks — so you see the response your users actually get, not what a desktop runner sees. It also unifies API and UI testing in a single dashboard with shared CI/CD triggers, collections-as-suites, and 1-click cURL export for parity with terminal/Postman debugging.

Can I use the API Testing Agent for mobile app API testing?

Yes — that's its core strength. Run API workflows from real Android and iOS devices on real carrier networks (4G, 5G, Wi-Fi) so you can validate latency, payload size, and auth flows the way they actually behave on your users' phones. This catches mobile-only failures that desktop API tools miss entirely.

Is the API Testing Agent suitable for banking and fintech API testing?

Yes. The agent supports OAuth 2.0, bearer tokens, API keys, and custom header authentication, plus strict pass/fail evaluation on response bodies — critical for transaction APIs where HTTP 200 alone is not enough. Combined with Pcloudy's private cloud and on-premise deployment options, it meets the data isolation requirements of banking and fintech teams.

How does the API Testing Agent integrate with CI/CD pipelines?

Workflows and collections can be triggered from Jenkins, GitHub Actions, GitLab CI, Azure DevOps, CircleCI, and any other pipeline via REST trigger. API regressions run on every build alongside your UI tests on Pcloudy real devices, and all results flow back into a single dashboard with pass/fail history and response diffs.

What is API variable chaining and why does it matter?

Variable chaining means extracting a value from one API response (e.g. an auth token, an order ID, a session cookie) and using it in a later request. Real user flows always chain — login → fetch profile → place order → check status — so isolated request testing misses the bugs that actually break production. Pcloudy uses JSONPath expressions (like $.data.token) and {{variableName}} references so chaining works without any scripting.

Does the API Testing Agent support authentication testing?

Yes. Bearer tokens, OAuth 2.0, basic auth, API keys, and custom headers are all supported per step. You can authenticate once at the start of a workflow, chain the resulting token into every downstream request, and assert on auth failure responses (401/403) as part of negative-test workflows.

Can I run API tests on real devices with Pcloudy?

Yes — and that's the key differentiator. Every workflow can be executed from a real Android or iOS device in Pcloudy's cloud, so headers, network conditions, certificates, and response handling reflect production reality. No emulators, no desktop proxies — just your APIs running through a real phone the same way your users hit them.

AI API Testing Agent — Build & Validate Multi-Step API Workflows

Real APIs are sequential. Your tests should be too.

Built for end-to-end API validation

From idea to passing test in four steps

Create a project

Build your workflow

Chain variables

Run & report

See the canvas, not a feature list

Pass data between steps with JSONPath

Define what "passing" really means

Reports that tell the whole story

Group workflows into test suites

Mobile, Web, API & Database — all in Pcloudy

Mobile

Web

API

Database

Best practices from teams running the API Testing Agent

Lead with auth

Use globals for environments

Assert beyond status codes

Test steps in isolation

Export cURL for hand-offs

Separate suites by intent

Frequently asked questions

Ready to test your APIs the way they actually run?

AI API Testing Agent — Build & Validate Multi-Step API Workflows

Real APIs are sequential. Your tests should be too.

Built for end-to-end API validation

From idea to passing test in four steps

Create a project

Build your workflow

Chain variables

Run & report

See the canvas, not a feature list

Pass data between steps with JSONPath

Define what "passing" really means

Reports that tell the whole story

Group workflows into test suites

Mobile, Web, API & Database — all in Pcloudy

Mobile

Web

API

Database

Best practices from teams running the API Testing Agent

Lead with auth

Use globals for environments

Assert beyond status codes

Test steps in isolation

Export cURL for hand-offs

Separate suites by intent

Frequently asked questions

Ready to test your APIs the way they actually run?

Request a Demo

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