Recording of the visual regression run on ninelayer.in · Ninelayer — public walkthrough.

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Test recording

Ninelayer — public walkthrough

35,175 ms · 0 pixels changed · matches baseline

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export async function test(page, baseUrl, screenshotPath, stepLogger) {
  const shot = (n, slug) => screenshotPath.replace('.png', `-${n}-${slug}.png`);
  const settle = () => page.waitForLoadState('networkidle', { timeout: 12000 }).catch(() => {});
  const dismissCookie = async () => {
    const b = page.getByRole('button', { name: /accept|allow|got it|agree|ok$/i }).first();
    if (await b.isVisible().catch(() => false)) await b.click().catch(() => {});
  };

  stepLogger.log('Scenario 1: Home');
  await page.goto(baseUrl, { waitUntil: 'domcontentloaded' });
  await dismissCookie();
  await settle();
+85 more lines — claim the test to get the full code.

Checks run

Run
✕
Visual
✓
Text
—
DOM
✓
Network
—
Console
✓
A11y
—
Perf
—
URL
✓
Variables
—
Full report
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0
Diff px
35s
Duration
—
Accessible
C
Fast
Web Vitals · 70

Notes from the demo run

AI-generated

Ninelayer is an MCP Search API for AI agents. The landing is segmented by audience — coding agents, research agents, support agents, GTM agents, enterprise — with recipes and integrations pages aimed at builders.

Highlights
  • Audience-segmented landing
    Separate sections per agent type (coding/research/support/GTM) let each visitor self-select — strong for a horizontal dev tool.
  • Builder-focused content
    Recipes + integrations pages give developers a concrete on-ramp rather than just an API reference.
Friction points
  • Google-OAuth-only sign-in
    No email path — evaluators who avoid Google sign-in have no way in, and it complicates automated/CI evaluation.

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57,604 test runs recorded · 1,174 products tested with Lastest

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