APIContext is a synthetic monitoring platform that simulates full customer journeys from cloud to edge to origin to payload, rather than simple pings. It runs these journeys every 30 seconds from over 125 global points of presenceaine and emits native OpenTelemetry traces, metrics, and logs that can be streamed directly into existing APMs like Datadog or Dynatrace. The platform verifies multi-step, authenticated transactions with contract assertions and side-effect checks, flagging API, browser, MCP, regional, and topology blind spots that uptime-only tools miss.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional synthetic monitoring tools only verify basic reachability with simple pings, stopping at a 200 OK response without confirming whether complex, multi-step customer journeys actually work end-to-end. This leaves critical blind spots in API conformance, browser behavior, MCP server interactions, regional routing, and full transaction topology, preventing on-call teams from seeing where failures truly originate.
Solution
APIContext provides a synthetic journey platform that simulates complete customer workflows from cloud point of presence to edge, origin, and payload, collecting OpenTelemetry-native signal at every hop. It runs fully-authenticated, multi-step transactions with OAuth, mTLS, JWT, and HMAC support from 125+ global locations every 30 seconds, verifying JSON Schema contracts and side effects after each assertion. Every check emits full MELT data—traces, metrics, logs, profiles, and events—that can be consumed inside APIContext or streamed via OTLP into the user's existing APM stack. The platform exposes real-time SLO and SLA reporting, burn-rate alerts tied to journey-level SLIs, and fault injection on the synthetic path, enabling teams to root-cause incidents in a single trace instead of multiple dashboards.
Target Audience
Primary customers are site reliability engineering teams and platform engineers at organizations that run complex digital services and need end-to-end visibility beyond simple uptime monitoring. The platform is also used by developers and operations teams managing API-heavy applications, multi-step transactions, or edge and MCP-based architectures.
Features
- Global synthetic execution from 125+ points of presence with checks every 30 seconds and sub-second alerting
- End-to-end tracing across first, middle, and last miles with native OTEL spans (11 spans per journey) captured at every hop
- Multi-step transaction support with OAuth, mTLS, JWT, HMAC authentication and JSON Schema side-effect verification
- Native OTEL export via OTLP (gRPC and HTTP/protobuf) to Datadog, Dynatrace, Grafana, Splunk, New Relic, Honeycomb, or any custom collector
- Dedicated monitoring for API, browser (real-browser checks), MCP server, transaction, regional, and topology blind spots
- Journey-level SLO/SLA reporting with error budget burn calculations and burn-rate alerts against real customer paths
- Fault injection capabilities on the synthetic path to test resilience and error handling