Pcloudy launches Qverify for multi-step API testing across web and mobile flows

Pcloudy on July 15, 2026 launched Qverify, an AI-powered API testing agent that lets teams build and validate multi-step API workflows without scripting. The tool is designed to plug those backend checks into the same end-to-end test journeys as web and mobile steps, which could help teams test transactions more realistically.

Why it matters: - Qverify is meant to close a common testing gap: many teams still validate API calls separately from the web and mobile flows that trigger them. - Pcloudy is positioning the product for transaction-heavy use cases, where a simple HTTP 200 response may not prove the full backend process succeeded. - The release also extends Pcloudy's pitch to enterprise teams that need testing across device clouds, deployment models, and CI pipelines.

What happened: - Pcloudy announced Qverify, an AI-powered API testing agent for multi-step workflows across web, mobile, and API layers. - The launch was announced July 15, 2026. - Existing customers can access Qverify from their Pcloudy dashboard. - New users can request a demo via Pcloudy.

The details: - Qverify lets teams visually build API workflows without scripting. - The workflow builder supports multi-step chains such as authenticate, fetch, mutate, and verify. - Teams can extract values from responses with JSONPath and reuse them as variables in later steps. - Each step can be checked against custom pass/fail rules, including status code, JSON values, and response time. - Entire workflows can be saved and replayed as regression suites. - A single test case can move from a web or mobile UI step into a Qverify API step and then continue across layers. - Qverify supports OAuth 2.0, bearer tokens, API keys, and custom header authentication. - The product also supports strict validation of response bodies, not just status codes. - Pcloudy says Qverify is available in private cloud and on-premise deployments, in addition to its cloud offerings. - Qverify workflows and collections can be triggered from Jenkins, GitHub Actions, GitLab CI, Azure DevOps, CircleCI, or other pipelines through a REST trigger. - Results flow into a single Pcloudy dashboard with pass/fail history and response diffs. - Pcloudy describes itself as a real device cloud for testing mobile apps, web apps, and APIs across 5,000+ real devices and browsers. - Pcloudy says its platform includes 60+ real-device performance metrics and can be deployed in public cloud, private cloud, on-premise, or hybrid environments. - Pcloudy says its AI Agents Suite helps with test automation and failure analysis. - Pcloudy says 500+ enterprises use its platform globally.

Between the lines: - The product reflects a broader shift toward testing that follows the full user journey instead of isolated backend requests. - By linking API checks to web and mobile steps, Pcloudy is trying to make backend validation part of the same workflow teams already use for end-to-end testing. - The deployment and authentication features suggest the company is targeting regulated industries, especially banking and fintech.

What's next: - Pcloudy will likely push Qverify into existing customer workflows through the dashboard and CI integrations. - Teams evaluating the product can request a demo and test whether the API agent fits into their current end-to-end automation stack. - If adoption grows, the product could become part of how teams standardize regression testing across frontend and backend layers.