Lab data: Lighthouse 13.5.0 mobile run, graded above · Reproduce this run on PageSpeed Insights ↗
Why is this different from the score in my browser?
This view grades the mobile run. Lighthouse 13.5.0 runs at Google through the PageSpeed Insights API on an emulated mid-range Android with a 4× CPU slowdown and a throttled connection. Chrome DevTools on your own machine, on the Desktop preset, applies almost none of that, and the same page routinely scores 30–50 points higher there. Neither number is wrong — they are different tests.
Mobile is what Google ranks on, so this is the number that affects your
search performance. To reproduce it, open the same run on PageSpeed Insights,
or pass strategy=mobile to the PageSpeed API — it defaults to desktop.
Lighthouse also varies a few points run to run on the same URL. Treat a trend across several scans as the signal, never a single digit.
Lab data: Google PageSpeed Insights (Lighthouse, mobile). Server probes (TTFB, compression, cache, headers) are measured separately from Vilnius, Lithuania (EU).
Top fixes ranked by points recovered
Act on this report with your AI assistant
- ✓Platform detectedNot conclusively identified — every check below links the official guideline for its fix, valid on any stack.
- →Act on it with your AIThe machine-readable twin of this report gives an agent every failing check with its evidence, remediation and guideline link.
- →Check the originHosting sets the floor on TTFB. xCloud hosts any stack — agent/MCP access built in, bring-your-own-server pricing.
This does not look like a WordPress site, so xSpeed cannot automate the fixes directly — but Every check below links its official guideline, and the machine-readable twin of this report gives an AI everything it needs to plan the work (5 checks name a concrete remediation):
Read the speed report at https://xspeedcache.com/scan/r/retailnet-pl-e86152b8f8.md — it lists every failing check with evidence and the official guideline for the fix. Produce a prioritized fix plan for my stack, apply what you can, then re-test by POSTing {"url":"https://retailnet.pl/"} to https://xspeedcache.com/api/scan and compare the scores.Run this scan without the form
Plug xSpeed Scan into your agent stack, or test any site from a chat.
Connect this scanner to your AI assistant
Free. No API key, no sign-up. Scan any public site and get the same graded report as this one, with the fix for every failing check.
Endpoint
https://xspeedcache.com/scan/mcpClaude Code — one command
claude mcp add --transport http xspeed-scan https://xspeedcache.com/scan/mcpClaude Desktop, Cursor, or any MCP client — add to your config
{
"mcpServers": {
"xspeed-scan": {
"type": "http",
"url": "https://xspeedcache.com/scan/mcp"
}
}
}run_speed_scanScan any public URL and return this whole graded report.get_speed_scanRead a scan already run, by its id.
Lab performance (Lighthouse)
5/5 checks passed · 40/40 pts earnedServer response & caching
3/6 checks passed · 17.5/27 pts earnedAI prompt
Using my site's xSpeed MCP connection: enable page caching, start the preloader so pages are pre-warmed, and confirm get_cache_status reports hits.AI prompt
Using my site's xSpeed MCP connection: enable browser-cache headers for static assets, then re-run the audit.Asset optimization
2/5 checks passed · 10/20 pts earnedAI prompt
Using my site's xSpeed MCP connection: generate critical CSS for the top pages and enable unused-CSS removal, then re-test.AI prompt
Using my site's xSpeed MCP connection: enable WebP/AVIF conversion with URL rewriting, then re-test image audits.AI prompt
Using my site's xSpeed MCP connection: enable minification and lazy loading (and image conversion on Pro), then re-check page weight.Past scans of retailnet.pl newest first · every report keeps its link
| Scanned | Score | Grade | Graded on | TTFB | Lighthouse | |
|---|---|---|---|---|---|---|
| 2026-10-14 19:59 UTC this report | 78 | C | mobile | 53ms | 100 | |
| 2026-10-14 19:51 UTC | 76 | C | desktop | 44ms | 99 | View report → |
| 2026-10-13 19:35 UTC | 52 | F | mobile | 29ms | 66 | View report → |
| 2026-10-13 15:21 UTC | 74 | C | desktop | 45ms | 99 | View report → |
| 2026-10-13 14:10 UTC | 73 | C | desktop | 37ms | 94 | View report → |
| 2026-10-13 13:54 UTC | 70 | C | desktop | 34ms | 93 | View report → |
Reports graded on different runs are not a trend: mobile-graded rows are the older rubric's headline, desktop-graded rows the current one. Compare like with like.