Scout APM review

Scout APM is an application performance monitoring tool that brings production errors, logs, traces and performance data together. Its feature list covers request paths and code-level execution flows, endpoint response times and throughput, resource use, slow queries, N+1 problems and error tracking. The point is to connect those signals: an error or slow request can be viewed alongside related logs and traces, rather than treated as an isolated alert.

Scout also exposes production data to AI coding agents through an MCP server, CLI and API. That gives agents a way to retrieve errors, traces and performance information while helping with code. It does not make Scout a coding agent; it is the monitoring layer those agents can consult. For teams considering a switch, the practical question is whether that combined view and agent access fit their workflow—and whether the plan limits cover their production volume.

Scout’s strongest pitch is having several kinds of production context in one monitoring tool. Its feature list includes traces, logs, metrics, query analysis and error monitoring, with performance context tying them together. That should make it easier to investigate a slow endpoint or error without treating each data type as a separate product. The MCP server, CLI and API also give coding agents defined routes to production information; teams building agent-assisted development workflows may find that more useful than another dashboard alone.

The listed plans include unlimited users and apps, so the price tiers are based on usage limits rather than seat or app counts. The free plan includes 300,000 monthly transactions, 1 GB of logs, 5,000 errors and one anomaly-monitored endpoint. Paid entry starts at $19 per month for Startup, with 600,000 transactions and 10 monitored endpoints. The $64 Production Ready plan lists 50,000 errors with intelligent grouping, 30 GB of logs with 14-day retention and 20 monitored endpoints. Those higher error and log allowances are meaningful if they match your actual needs.

The plan table needs a close read: higher spend does not mean every allowance rises. At $39 per month, Small lists 1.2 million transactions, 5,000 errors, 1 GB of logs and 10 anomaly-monitored endpoints. Production Ready costs $64 and keeps the same transaction volume, but raises the error, log and endpoint allowances. Medium costs $99 and lists 3 million transactions, yet its listed limits fall back to 5,000 errors, 1 GB of logs and 10 endpoints. Check the specific cap you need, not just the plan name or price.

Most listed paid tiers cap errors at 5,000 and logs at 1 GB; the table gives larger allowances only for Production Ready, while Enterprise limits are custom. The free plan’s one monitored endpoint may be too narrow for broader coverage. Annual billing is said to save 10%, but exact annual prices are not published. The table also does not specify which plans include MCP, CLI or API access, or the retention period on most tiers. Confirm those details before switching or budgeting.

Scout APM lists a free plan, a 14-day free trial, and paid monthly plans from $19. Free includes 300K monthly transactions, 1 GB of logs, 5,000 errors, and one anomaly-monitored endpoint. Startup is $19/month for 600K transactions; Small is $39/month for 1.2M. Both list 5,000 errors, 1 GB of logs, and 10 monitored endpoints.

Production Ready jumps to $64/month. It keeps the 1.2M transaction limit but raises the allowance to 50,000 errors, 30 GB of logs with 14-day retention, and 20 monitored endpoints. Medium costs $99/month for 3M transactions, but lists only 5,000 errors and 1 GB of logs. Large is $299/month for 9M transactions, with those same lower listed error and log allowances. Check the limits, not just the tier name.

The pricing page says annual billing saves 10%, but exact annual prices are not published. No add-ons are listed. Enterprise pricing and custom limits are not published.

The likely work is less about moving dashboards and more about reconnecting the monitoring flow: Scout lists traces, logs, errors, and performance data, plus MCP, CLI, and API access for coding agents. If agents or internal tools read Scout data, plan to review those integrations when switching. The published material does not specify migration tools, supported import formats, or how much historical data can be exported, so confirm those details with Scout before setting a cutover date.

We were not given Reddit posts or comments about Scout, so we can’t substantiate claims about why users leave or how difficult their migrations are. Export options and retention limits beyond the Production Ready plan’s listed 14 days are also not published on the vendor's site. Before moving, ask what data you can export, in what format, and whether access continues after cancellation. Compare the replacement’s transaction, error, log, and endpoint limits against your current plan; Scout’s listed tiers vary substantially on those caps.