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Debug production issues instantly without pausing threads

Free, no paid tier Visit Website
Reviews on G2
222 reviews tracked

The Bottom Line

Price
Free, no paid tier. Compare plans

Key facts

  • Captures live variable state from production code without redeploying or restarting services.
  • Reduces time to root cause from hours to under 10 minutes by automating probe placement and evidence collection.
  • Integrates with coding agents and alerting tools to provide confirmed root cause analysis without war rooms.

Pros

  • Dramatically reduces time to root cause from hours to minutes.
  • Eliminates the need for redeployments during debugging.
  • Captures data that logs miss, including silent failures and race conditions.

Cons

  • Limited runtime support (JavaScript, TypeScript, Java, Python, Ruby; Go on roadmap).
  • Requires SDK installation per service, which may add initial setup overhead.

What is Hyperprobe?

Hyperprobe is an AI-powered production debugger that eliminates the log-and-redeploy cycle. It places read-only virtual breakpoints (probes) directly into running services to capture exact variable state at the moment of failure, without pausing threads or modifying code. The tool integrates with alerting systems like PagerDuty, Datadog, and Slack, automatically scouting traces to locate the root cause and deploying probes on the suspect line. It works with coding agents such as Cursor, Claude Code, Codex, and Opencode via an MCP server, enabling engineers to diagnose incidents in minutes instead of hours. Hyperprobe supports JavaScript, TypeScript, Java, Python, and Ruby, and offers managed cloud or self-hosted deployment with built-in PII redaction and immutable audit logs.

Ratings Across the Web

4.5 (222 reviews)

Hyperprobe holds an aggregate rating of 4.5 out of 5 from 222 reviews across G2, last checked September 5, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

  • Read-only, non-blocking probes that capture exact variable state at a specific line without pausing threads.
  • Automatic incident alert integration with PagerDuty, Datadog, and Slack.
  • MCP server for use with coding agents like Cursor, Claude Code, Codex, and Opencode.
  • PII redaction at the agent level with custom rules on Enterprise plans.
  • Immutable audit log of all probes and captures for compliance.

Pricing Plans

Pricing checked Oct 19, 2026. Source: hyperprobe.co, read Oct 19, 2026

Hyperprobe plans and prices, checked October 2026
Plan Price Details
Free

Free

  • 1 service
  • Managed cloud
  • Unlimited probes and captures
+1 more
  • SDK installation

Is Hyperprobe worth the price?

Good value

Hyperprobe's entirely free tier is extremely generous, offering unlimited probes and captures for one service with managed cloud hosting.

However, the lack of any paid plans means scalability is capped at a single service, making it ideal for small projects or evaluation but not for production multi-service environments. Best for solo developers or small teams getting started with live debugging.

Hidden Costs & Gotchas

Only 1 service allowed; additional services require a paid plan (not yet available).

No self-hosting option; managed cloud only with potential future pricing for dedicated instances.

SDK installation required per service, adding integration overhead for complex setups.

Full Hyperprobe pricing: every plan, hidden costs and alternatives

Hyperprobe by the numbers

Hyperprobe compared with 93 Debugging tools on Toolradar, as of Oct 2026
Metric Hyperprobe Peer median Position (1 is best)
Free plan Yes 89% have one n/a
User rating 4.5/5 (across the web, 222 ratings) 4.6/5 #17 of 28 (joint) tools with 20+ reviews

Each position is counted among the tools that have data for that row, as noted under it. All Debugging data · How we compute this. Advertising and placement fees are not inputs to any position.

Cite this: Toolradar, “Hyperprobe by the numbers”, Oct 2026.

Reviews

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4.5/5

Across 222 verified user reviews on G2

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Hyperprobe FAQ

How does Hyperprobe help debug a production incident without redeploying code?

Hyperprobe places read-only virtual breakpoints called probes directly into running services to capture exact variable state at the moment of failure, without pausing threads or modifying code. This eliminates the log-and-redeploy cycle, reducing time to root cause from hours to minutes.

Which teams benefit most from using Hyperprobe?

Engineering teams that manage production services and need to debug incidents quickly benefit most from Hyperprobe. It is especially useful for teams using coding agents like Cursor, Claude Code, Codex, or Opencode, as Hyperprobe integrates with them via an MCP server.

How does Hyperprobe compare to Sentry MCP for debugging?

Unlike Sentry MCP, which focuses on error monitoring and logging, Hyperprobe captures data that logs miss, including silent failures and race conditions, by placing read-only virtual breakpoints in running services. Hyperprobe also integrates with alerting systems like PagerDuty, Datadog, and Slack to automatically scout traces and deploy probes on the suspect line.

What are the main limitations or trade-offs of using Hyperprobe?

Hyperprobe supports only JavaScript, TypeScript, Java, Python, and Ruby runtimes, with Go on the roadmap. It also requires SDK installation per service, which may add initial setup overhead.

How is Hyperprobe priced?

Hyperprobe is free to use with no paid plan required.

Can Hyperprobe integrate with existing alerting and monitoring tools?

Yes, Hyperprobe integrates with alerting systems like PagerDuty, Datadog, and Slack. It automatically scoutes traces to locate the root cause and deploys probes on the suspect line when an alert triggers.

Does Hyperprobe support self-hosted deployment and security features?

Yes, Hyperprobe offers both managed cloud and self-hosted deployment options. It includes built-in PII redaction and immutable audit logs to ensure data security and compliance.

Which programming languages does Hyperprobe currently support?

Hyperprobe supports JavaScript, TypeScript, Java, Python, and Ruby. Support for Go is on the roadmap.

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