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supaguard vs Checkly: The Monitoring AI Agent Comparison

Compare supaguard and Checkly for synthetic monitoring. See how AI-generated tests, smart retries, and pricing compare between these Playwright-based monitoring platforms.

Both supaguard and Checkly offer Playwright-based synthetic monitoring for modern engineering teams. This comparison helps you understand the key differences and choose the right platform for your needs.

Quick Comparison

FeaturesupaguardCheckly
Test FrameworkPlaywrightPlaywright + API checks
AI Test GenerationBuilt-inNo
False Alarm ReductionSmart Retries (multi-region)Manual retry configuration
Failure ClassificationAI-powered (Critical/Degraded/Healthy)Binary (pass/fail)
Pricing ModelBrowser runsCheck runs + API checks
Free Tier1,000 runs/month250 check runs/month
Team SeatsUnlimited (all plans)Limited by plan

Test Creation

supaguard: AI-Native Approach

supaguard was built with AI at its core. Instead of writing Playwright scripts from scratch, you can:

  1. Describe the flow - "Test the login flow with email user@example.com"
  2. Watch the AI agent - See it navigate your site in real-time
  3. Review and enable - The AI generates a production-ready Playwright script
// AI-generated test (you didn't write this)
test("login flow", async ({ page }) => {
  await page.goto("https://app.example.com/login");
  await page.getByLabel("Email").fill("user@example.com");
  await page.getByLabel("Password").fill("password");
  await page.getByRole("button", { name: "Sign In" }).click();
  await expect(page.getByText("Welcome back")).toBeVisible();
});

You can still write manual scripts when you need precision, but most teams find AI generation covers 80%+ of their monitoring needs.

Checkly: Developer-First Approach

Checkly focuses on developers writing their own Playwright scripts. It provides:

  • CLI tooling for local development
  • Integration with your existing test suite
  • Monitoring-as-code with version control

This approach works well for teams with strong Playwright expertise who want full control over every line of test code.

Bottom line: supaguard reduces time-to-monitoring with AI generation. Checkly gives developers more control but requires more manual work.

Alert Reliability

supaguard: Smart Retries

The biggest pain point in synthetic monitoring is false alarms—those 3 AM pages caused by transient network issues, not actual outages.

supaguard's Smart Retry system addresses this:

  1. Check fails in San Francisco
  2. Immediately re-run from London
  3. If London passes → Mark as transient, no alert
  4. If London fails → Confirm outage, trigger alert

This multi-region verification is automatic and built-in. You don't configure retry logic—it just works.

Checkly: Manual Retry Configuration

Checkly offers retry options, but they're configured per-check:

  • Set number of retries
  • Configure retry interval
  • Retries run from the same location

This puts the burden on you to tune retry settings for each check to balance detection speed vs. false alarm rate.

Bottom line: supaguard's approach eliminates false alarms by design. Checkly requires manual tuning to reduce alert noise.

Failure Classification

supaguard: Intelligent Triage

Not all failures are equal. supaguard categorizes each result:

  • Critical (Red) - Core functionality broken (wake up)
  • Degraded (Yellow) - Performance issues or soft failures (investigate soon)
  • Healthy (Green) - Everything working as expected

This classification helps you prioritize your response:

3:00 AM - Checkout button not clickable → CRITICAL → Page the on-call
3:00 AM - Page loaded in 8 seconds (usually 2s) → DEGRADED → Slack notification

Checkly: Binary Results

Checkly results are pass/fail. Any assertion failure or timeout triggers the same type of alert, regardless of severity.

You can build custom logic with Checkly's alerting rules, but the platform doesn't inherently understand the difference between "site is down" and "site is slow."

Bottom line: supaguard's intelligent classification reduces alert fatigue and helps you respond appropriately.

Debugging Experience

supaguard: Deep Debugging Built-In

Every failed check in supaguard includes:

  • Video recording of the test execution
  • Screenshots at each step
  • Network trace (HAR) with request/response details
  • Playwright trace for step-by-step debugging
  • Console logs and JavaScript errors

This data is captured automatically—no additional configuration.

Checkly: Similar Capabilities

Checkly also provides:

  • Screenshots on failure
  • Trace files
  • Network request logs

Both platforms offer strong debugging capabilities. The experience is comparable.

Pricing Comparison

supaguard Pricing

PlanPriceBrowser RunsSeats
HackerFree1,000/monthUnlimited
Startup$49/month20,000/monthUnlimited
Scale$169/month100,000/monthUnlimited
EnterpriseCustomCustomUnlimited

Key points:

  • Unlimited seats on all plans - No per-user charges
  • Simple metric - Just browser runs
  • Top-up credits available - Don't need to upgrade for occasional spikes

Checkly Pricing

PlanPriceCheck RunsSeats
Free (Hobby)Free250/month1
Team$30/month16,000/month5
EnterpriseCustomCustomCustom

Key points:

  • Seat limits - Need to pay more for larger teams
  • Separate API check pricing - Additional costs for API monitoring
  • Check run definition - May differ from browser runs

Bottom line: supaguard's unlimited seats make it more cost-effective for teams. The simple browser-run metric is easier to predict and manage.

Integration Ecosystem

supaguard Integrations

  • Slack
  • PagerDuty
  • Email
  • Webhooks (connect to anything)
  • Discord
  • Opsgenie (coming soon)

Checkly Integrations

  • Slack
  • PagerDuty
  • Opsgenie
  • Email
  • Webhooks
  • Microsoft Teams
  • Discord

Both platforms integrate with the major alerting tools. Checkly has a slight edge in native integrations, though supaguard's webhook support enables connection to any system.

When to Choose supaguard

Choose supaguard if you:

  • Want AI to generate tests instead of writing everything manually
  • Need to eliminate false alarms without manual configuration
  • Have a team of any size (unlimited seats)
  • Value intelligent failure classification
  • Prefer a simpler pricing model

When to Choose Checkly

Choose Checkly if you:

  • Have strong Playwright expertise and want full control
  • Prefer monitoring-as-code with version control
  • Need extensive native integrations
  • Want to run your existing Playwright test suite as monitors

Migration Considerations

Moving from Checkly to supaguard

Since both platforms use Playwright, your existing scripts are compatible:

  1. Export your Playwright scripts from Checkly
  2. Import into supaguard's code editor
  3. Configure schedules and alerts
  4. Enable checks

supaguard's AI can also regenerate tests if you want to start fresh with optimized scripts.

Moving from supaguard to Checkly

Similarly straightforward:

  1. Export your Playwright scripts
  2. Set up Checkly CLI
  3. Import scripts
  4. Configure manually

Summary

CriteriaWinner
Ease of getting startedsupaguard (AI generation)
False alarm reductionsupaguard (Smart Retries)
Developer controlCheckly (Monitoring-as-code)
Team pricingsupaguard (Unlimited seats)
Failure classificationsupaguard (AI-powered)
Native integrationsCheckly (More options)

Both are excellent Playwright-based monitoring platforms. supaguard is ideal for teams that want AI assistance and minimal configuration. Checkly is better for teams that want maximum control and developer tooling.

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