Tracevium is a real-time API and uptime monitoring service that combines webhook ingestion and incident response in one system. It is presented for teams that need to watch HTTP endpoints, handle incoming webhooks, and respond when outages occur.
Its monitoring features include continuously probing endpoints on configurable intervals, showing millisecond-precision response times, and reporting immediate status changes. The service also supports webhook ingestion from any source, with the ability to receive, store, and replay webhooks, inspect raw payloads and headers, and verify signatures. For incidents, Tracevium can auto-detect outages, escalate through notification channels, log downtime, and keep a full incident timeline with resolution tracking and post-mortems.
Tracevium also includes team collaboration features. Role-based access is available for owners, admins, developers, and viewers, and teams can invite members, assign responsibilities, and maintain a shared view of system health. The setup flow shown on the site begins with adding an HTTP endpoint, including APIs, third-party services, or critical webhooks, then setting check intervals, failure sensitivity, and which team members are paged for each endpoint. The product is web-based and is currently in public beta.
Pricing text on the site says Tracevium is free while in beta, with full access to every feature for 30 days and no payment information required during beta. A free plan is also mentioned, and paid plans with extended limits are planned to be available soon.
Tracevium sits in PulseGate's Observability & monitoring category. It helps teams monitor APIs, ingest webhooks, and manage incidents in real time to ensure system reliability. Tracevium is a B2B product aimed at engineering teams. There is a free tier. It ships for the web and API.
Tracevium first shipped in 2026. Key capabilities include API monitoring, uptime checks, and webhook ingestion. It exposes integrations via a public API. Tracevium is currently in beta.
Summary written by a language model from the project’s public pages.
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