Continuous testing
Run checks all the time against public APIs, internal services, applications, and critical workflows.
Continuously test public APIs, internal services, applications, and critical workflows so you can identify problems before customers notice.
Configure API workflows manually, from curl, from Postman Collections, or from OpenAPI specs. Then schedule checks, capture traces, and alert the right tools when behavior changes.
Enter a URL, make any HTTP call, test it in the browser, or import existing definitions. APIContext supports individual calls, sequences, variables, OAuth2, and advanced authentication scenarios.
request: POST /checkout
auth: oauth.refresh()
body: cart.fixture('gold')
assert status == 200
assert json.total >= 0
schedule: every 60sRun checks from 125+ data centers across major cloud providers including AWS, Azure, IBM, Google, and Akamai, and add private nodes for APIs behind your firewall.
Use full OAuth handling, JWTs, mTLS, FAPI validation, and conformance checks against OpenAPI specs, security standards, service objectives, and performance metrics.
Run checks all the time against public APIs, internal services, applications, and critical workflows.
Start from curl, Postman Collections, OpenAPI specs, or manual request configuration.
Chain calls with variables, assertions, external dependencies, and auth steps.
Monitor simultaneously from 125+ locations across major cloud providers.
Validate secure APIs with OAuth, JWT, mTLS, FAPI, and token refresh handling.
Send actionable alerts through webhooks, OpenTelemetry, and preconfigured integrations.
API monitoring results flow into incident, observability, reporting, and stakeholder workflows
Synthetic API monitoring involves sending scripted API requests from external locations on a continuous schedule, independent of real user traffic. It provides consistent baseline measurements of API availability, latency, and correctness regardless of traffic volume. Because checks originate outside your infrastructure, they reflect the experience of external callers — including partners, customers, and automated systems — rather than internal system health.
APM instruments code inside your stack and measures internal system behavior; it sees the world from inside your infrastructure. Synthetic monitoring connects from outside as your customers do, continuously running scripted checks whether or not real traffic is present. This makes it the most reliable source of SLA-grade availability data and the earliest detection method for edge-layer failures and geographic performance degradation.
APIContext runs synthetic checks from 125+ points of presence across AWS, Google Cloud, Azure, and Akamai networks. Checks can be scoped globally, regionally, or to a specific subset of locations to mirror the geography of your actual user base or partner network.
Yes. APIContext supports OAuth 2.0, OIDC, mTLS, DPoP, PKCE, PAR, FAPI 2.0, and many more. Multi-step monitors preserve tokens and session state across dependent requests, enabling end-to-end verification of authenticated workflows rather than just unauthenticated health checks.
Set up continuous API checks, validate secure workflows, and alert the right teams the moment behavior changes.