JSONPath extraction
JSONPath extraction is executed by QASyn's autonomous agents for api testing. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
{{variable}} injection
{{variable}} injection is executed by QASyn's autonomous agents for api testing. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Status/schema/payload assertions
Status/schema/payload assertions is executed by QASyn's autonomous agents for api testing. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Auth token chaining
Auth token chaining is executed by QASyn's autonomous agents for api testing. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Evidence-first execution
Every api testing step runs in a real browser and persists a full-resolution screenshot plus expected-result metadata. Failures are reproducible from the same run record.
QASyn Vision AI verification
Visual assertions are calibrated by QASyn Vision AI with an abstention path, confidence score and locator grounding. Ambiguous evidence is escalated instead of guessed.
Architecture & workflow
How QASyn executes api testing end-to-end.
- 1
Connect QASyn to the systems that describe api testing: repositories, environments, issue trackers and identity.
- 2
Crawl the live application, map DOM flows and author target-specific test cases with QASyn Vision AI grounding.
- 3
Execute in a real Playwright browser and capture step PNGs, traces, network failures and calibrated visual decisions.
- 4
Gate the release with impact analysis, self-healing retries and a signed quality report before merge.
QASyn autonomous agents vs. legacy scripts and recorders
| Dimension | QASyn autonomous agents | Legacy scripts / recorders |
|---|---|---|
| Authoring | ✓ Crawl the live DOM and generate target-specific cases | Hand-written selectors and brittle recordings |
| Maintenance | ✓ QASyn Vision AI re-grounds selectors with abstention control | Manual selector repair after every UI change |
| Evidence | ✓ Real per-step PNG, expected result and audit metadata | Screenshots bolted on after failures |
| Release decision | ✓ Impact analysis, PR gate and calibrated risk score | Pass/fail output with no blast-radius context |
| Governance | ✓ Model, token and skill controls per workspace | Shared credentials and no usage telemetry |
Quality score
96/100
Coverage
94%
Faster triage
4.2×
Manual QA avoided
$24.8K
Frequently asked questions
How does self-healing work?
When a selector fails, QASyn scores every candidate element (0.2 Tag + 0.4 Attributes + 0.3 Text + 0.1 Position). Above 0.45 it repairs the selector in place and flags the step HEALED.
Which browsers are supported?
Chrome, Firefox, Safari (WebKit) and Edge on a parallel cloud grid, plus iOS 14+ and Android API 21+ devices.
See QASyn test your application in 30 minutes
Autonomous quality engineering, grounded in visual proof. Crawl, author, heal and gate every release.