CheckOps
Superlog
Superlog is monitoring for the AI era: it finds missing logs and traces, captures browser exceptions with source maps, and uses an MCP server and automations so coding agents add alerts, synthetic tests and fixes.
- SaaS
- Paid
- MCP
- Logging
- Tracing
- Error Tracking
- Observability
- Monitoring
- AI-enabled testing
- Production monitoring & observability
- Release & CI gates
Latest public signals
Not refreshed yet. Refresh reads the public site and, when the entry has a GitHub repository, the latest release.
Introduction
Superlog, backed by Y Combinator, focuses on making production observable for AI coding agents. Its overview checks for missing logs, missing traces and tags that do not follow OpenTelemetry conventions, and gives your agent a suggested prompt to fix each gap.
A browser SDK captures exceptions with source maps, catching pages that return 200 but still crash. When an agent finds a new failure mode, Superlog’s MCP prompts it to add an alert or synthetic test. Automations give agents a runbook: trigger a run when Sentry reports an error, from Slack, from a webhook or on a schedule.
Launch and background: Y Combinator’s company directory lists Superlog in its Spring 2026 batch, with the one-liner “Make software self-healing”. Superlog was posted to Hacker News as a Show HN on 19 May 2026.
Features
- Instrumentation gap checks: Missing logs, traces and tags.
- Browser SDK: Exceptions with source maps.
- MCP server: Agents add alerts and tests.
- Automations: Runbooks triggered by events.
Pros
- Closes the loop: Failures become checks.
Cons
- Agent-centric: Assumes you use coding agents.
- Pricing per telemetry: Check pricing page.
Usage and Links (Example)
- Install the SDK and connect the MCP server to your agent.
- Fix the gaps the overview flags.
- Set an automation for production errors.
Resources:
Pricing
Prices were not listed on the website when checked on 11 November 2026; contact the vendor or sign up to see plans.
Recommended for?
- Teams building with coding agents who want them to own monitoring.
Conclusion
Superlog is designed for an agent-driven workflow.
Its gap checks are useful even before automations.
On CheckOps, Superlog is filed under the Production monitoring & observability and Release & CI gates stages. Related tools listed here include Sentry, Datadog, Better Stack, Rollbar, Honeycomb and Checkly. A short trial on a real project, with your own code, data and pipeline, is usually the fastest way to choose between them, because fit matters more than feature lists. Facts here come from the official site, documentation and repository, checked on 11 November 2026.
Compare
CheckOps pages that put Superlog next to related tools. There is no paid placement on these lists.
Roundups
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with Superlog side by side.
SSentrySentry groups application errors and traces them across services. The hosted product has a free developer plan and paid team plans.Compare with Superlog
DDatadogDatadog is a commercial cloud platform for metrics, traces, logs, and security signals. Products are priced separately.Compare with Superlog
BBetter StackBetter Stack combines uptime monitoring, incident management, status pages, logs and observability in one platform, free for personal projects and paid from $29 a month.Compare with Superlog
RRollbarRollbar is an error monitoring service that groups exceptions, tracks deploys and alerts teams in real time, with a free plan including 5,000 occurrences.Compare with Superlog
HHoneycombHoneycomb is an observability platform built on high-cardinality, event-based data and distributed tracing, with BubbleUp, SLOs, AI agents and MCP; free tier with 20M events a month and Pro from $150/month.Compare with Superlog
CChecklyCheckly is a monitoring-as-code platform for API checks, Playwright browser checks, uptime monitors, alerts and status pages, run from 20+ locations; Hobby $0, Starter $24/month, Team $64/month.Compare with Superlog