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N
Failed
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();Checks run
0
Diff px
35s
Duration
—
Accessible
C
Fast
Web Vitals · 70
Notes from the demo run
AI-generatedNinelayer 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 landingSeparate sections per agent type (coding/research/support/GTM) let each visitor self-select — strong for a horizontal dev tool.
- Builder-focused contentRecipes + integrations pages give developers a concrete on-ramp rather than just an API reference.
Friction points
- Google-OAuth-only sign-inNo 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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