Ora's Access layer: 42 checks and the pass rates Ora publishes

Ora scores a site in four layers. This page covers the second, Access, which holds the behaviours the Plain Fetch viewer shows: whether content arrives without JavaScript, whether bot protection lets agents in, and whether llms.txt, markdown, JSON-LD and the sitemap are there. The catalogue below is a saved GET of Ora's public check list, contract 1.38.0, read on 5 November 2026.

The four layers

The Access layer holds 42 of the 132 checks: 15 required tier, 14 recommended and 13 emerging. Ora's llms.txt says each check carries a tier that never changes the score, and that verified checks count toward it while emerging checks are shown but excluded.

The read-layer checks and their pass rates

These 19 checks are the ones a plain-fetch client can feel. The two rate columns are the passRate and passRateStrict fields of Ora's GET /api/stats for each check. The pages read do not say what the second counts, so both are shown, and the gap is not explained here: passRateStrict is lower than passRate for 44 of the 46 Access-layer rows.

Text equivalent of this chart

Ora check	Passing	Of	Passing share	Not passing
Content without JavaScript	70,781	141,709	49.9%	70,928
Not blocked by bot detection	124,406	141,709	87.8%	17,303
Agent crawler reachability	124,534	141,709	87.9%	17,175
llms.txt exists	131,583	141,709	92.9%	10,126
llms.txt formatting	127,505	141,709	90.0%	14,204
JSON-LD structured data	88,987	141,709	62.8%	52,722
Markdown agent docs	135,775	141,709	95.8%	5,934
Sitemap exists	141,281	141,709	99.7%	428
Redirect hygiene	127,209	139,685	91.1%	12,476
Page token budget	127,852	139,685	91.5%	11,833

Content without JavaScript, the check closest to the viewer's H1 and 200-word flags, reads 49.9 percent on passRate (70,781 of 141,709 results). llms.txt exists reads 92.9 percent on passRate and 42.8 on the stricter rate, and markdown agent docs read 95.8 and 32.2. This site's own crawl measured 27.4 percent of home pages serving a plain-text llms.txt, which sits near the stricter figure; the two measures are different samples and different tests.

All 42 Access-layer checks

5 of the 42 name a spec. Bonus checks add points when earned and are left out of the denominator when not.

What Ora scored in the llms.txt Index

248 of the 400 domains in the llms.txt Index have a cached Ora score, with scan dates from 19 April 2026 to 5 November 2026. The domains were chosen because they publish an llms.txt, so they are not a sample of the web. Their statuses on the seven checks below come from the cached reports, and each scored index entry shows the score and links Ora's report for the domain. Each row adds up to the Domains column: pass, partial, fail, not applicable and error are every status Ora returned for the check.

Why this site recommends Ora's scan for the layer

The viewer reads one page. For a whole site the check we recommend is Ora's scan, for reasons that can be read on Ora's own pages. Every check is listed with its tier, maturity and, for 25 of the 132, a spec link (/api/checks). Reads need no key and no sign-up, and scans are limited to ten a minute (Ora's pricing page). A cached score can be read before anything is scanned, with GET /api/score/{domain}, and npx ax@0.10 audit <url> --min-score <n> fails a build below a chosen score (Ora's llms.txt).

The scores on this page are Ora's readings on the dates shown, and this site has not re-run them. Ora's limits are printed beside the recommendation. Cloudflare's scanner at isitagentready.com and Mintlify's score for documentation are the other whole-site checks this site's pages point to.

Cite this: Agent Ready HTML. Ora Access layer: check by check. Edition 2026-11-04. https://agentreadyhtml.com/ora-access-layer/

Sources

1. Ora check catalogue, contract 1.38.0 https://ora.ai/api/checks, read 5 November 2026
2. Ora statistics (pass rates per check) https://ora.ai/api/stats, read 5 November 2026
3. Ora pricing (reads need no key) https://ora.ai/pricing, read 5 November 2026
4. Ora llms.txt (CLI, cached score lookup, public URLs only) https://ora.ai/llms.txt, read 5 November 2026
5. Ora home page (the fixing product is behind a waitlist) https://ora.ai/, read 5 November 2026
6. Ora: Introducing Deep Scan (repeat scans) https://ora.ai/blog/introducing-deep-scan, read 5 November 2026
7. The crawl dataset (this site) https://agentreadyhtml.com/data/, read 4 November 2026

Last reviewed 5 November 2026