HyperProbe – AI On-Call Agent for Production Debugging

TL;DR

TL;DR: HyperProbe is a read-only debugging agent that runs inside your production services, capturing full incident context for AI coding agents before human engineers are even paged.

Source and Accuracy Notes

⚠️ This section is MANDATORY. All links must be verified from actual source, not guessed.

• Project page: hyperprobe.co
• Source repository: No public GitHub repo listed on the product site as of 2026-08-10
• License: Not publicly disclosed
• HN launch thread: news.ycombinator.com/item?id=49185389
• Docs: docs.hyperprobe.co
• Pricing page: hyperprobe.co/pricing

What Is HyperProbe?

HyperProbe is an on-call AI agent that runs as an SDK inside your production services. When an incident fires — a spike in error rates, a p99 latency breach, a failed deployment — HyperProbe probes the failing service, captures the full request context, and hands that capture directly to your coding agent (Cursor, Claude Code, Codex, or opencode) so it can reason about root cause before a human engineer is even paged.

The pitch on the homepage is direct: “Your engineers didn’t join to be on call.” HyperProbe works the incident alert-to-confirmed-root-cause so your team stays in flow.

It was founded by Shailendra and Karan, and backed by Y Combinator (S26 batch) as of its August 2026 launch.

Setup Workflow

Step 1: Install the SDK

HyperProbe distributes language-specific SDKs. Install the SDK for your runtime:

# Node.js
npm install @hyperprobe/sdk

# Python (if supported in your runtime)
pip install hyperprobe-sdk

Step 2: Initialize with Your Service Token

After installation, initialize the SDK with the service token from your HyperProbe dashboard:

import hyperprobe

hyperprobe.init(
    service_token="hp_live_your_token_here",
    service_name="order-service"
)

Step 3: Configure Probe Settings (Optional)

The default probe configuration works out of the box, but HyperProbe exposes full configuration for TTL, rate limiting, and hit expiry on paid plans:

hyperprobe.configure(
    ttl=300,           # Capture TTL in seconds
    rate_limit=100,     # Max probes per minute
    hit_expiry=3600    # When captured hits expire
)

Step 4: Connect Your Coding Agent via MCP

HyperProbe ships an MCP server that lets Cursor, Claude Code, Codex, and opencode read captures directly. Configure your agent’s MCP settings:

{
  "mcpServers": {
    "hyperprobe": {
      "command": "hyperprobe",
      "args": ["--mcp-server"]
    }
  }
}

Once connected, your coding agent can query past captures and current probe state using natural language.

Deeper Analysis

Read-Only by Design

HyperProbe explicitly does not mutate production state. It probes — it reads — and captures request context. This is a deliberate safety boundary: an AI agent debugging with write access to prod is a different risk profile entirely.

Per-Service, Not Per-Engineer Pricing

Most APM and debugging tools price per seat or per host. HyperProbe prices per service, where a service is one running application with the SDK installed, however many instances it runs on. This maps cleanly to how modern infrastructure actually works.

Capture Limits Are Unlimited

From the pricing page: “Probes and captures are unlimited on every plan, because nothing about debugging should be metered.” This is a meaningful differentiator — traditional APM tools often cap trace ingestion at paid tiers, which means the most interesting incidents (high-traffic events) often exceed your plan limits precisely when you need full visibility.

Supported Runtimes

The Free plan lists “All supported runtimes” — the specific runtime list is not enumerated on the public pricing page but the quickstart docs cover the actively supported languages.

Practical Evaluation Checklist

• Read-only probe model (no production writes)
• MCP server for Cursor, Claude Code, Codex, opencode
• PII redaction on by default
• Immutable audit log of all probe activity
• 7-day capture history on Free; longer retention on paid plans
• Per-service pricing (not per-seat)
• No capture limits at any tier

Security Notes

• PII redaction is on by default, redact-overrideable per capture
• Immutable audit log tracks every probe invocation
• The SDK runs inside your service boundary — captures stay within your infrastructure unless explicitly exported
• YC S26 backing means the company has passed YC’s standard diligence on incorporation, team identity, and basic business model viability

FAQ

Q: Does HyperProbe write anything to production? A: No. HyperProbe is read-only by design. It probes services and captures request context but does not mutate application state.

Q: Which coding agents are supported? A: Cursor, Claude Code, Codex, and opencode via the built-in MCP server.

Q: How is pricing structured? A: Per service, per month. The Free tier covers 1 service. Professional is $79 per service per month billed annually, with a 3-service minimum.

Q: Is there a self-hosted option? A: The Free and Professional plans use HyperProbe’s managed cloud. Enterprise/self-hosted was not enumerated on the public pricing page as of August 2026.

Q: What’s the first incident guarantee? A: “First incident we work with you is free” — HyperProbe offers a hands-on onboarding session for your first real incident at no cost.

Conclusion

HyperProbe occupies a specific niche: AI-first, read-only, in-production debugging with a direct MCP integration into the coding agents engineers already use. The per-service pricing and unlimited captures make it structurally different from traditional APM tools, and the YC S26 backing gives it startup credibility. If your team runs production services and spends time in war rooms, it’s worth a look — especially since the first incident is a free onboarding session.