| Name |
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| 22205) |
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| shelbytyrrell457(at)bigpond(dot)com |
Ort: Schamberg |
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| nevarezcarole302(at)yahoo(dot)de |
Ort: Middelharnis |
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Jerrold  |
| narvaezjerrold517(at)gmail(dot)com |
Ort: Neitersen |
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| reaganmarston857(at)gmail(dot)com |
Ort: Loonbeek |
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| 22201) |
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Spencer  |
| spencertalley61(at)gmail(dot)com |
Ort: Mcdougalls Hill |
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What's agent readiness? Agent readiness is how legible and usable a website, API, or MCP server is to autonomous AI brokers.
A human customer reading a hero on a landing page is ok without structured data. An agent that hits the identical URL needs specific machine-readable signals: a sitemap it will probably crawl, an llms.txt at the basis, OpenGraph plus JSON-LD on every web page, predictable price-restrict headers, an OpenAPI spec for any public endpoint, and (increasingly) a discoverable MCP server card or AP2 manifest.
Without these alerts the agent guesses, fails halfway, or offers up. The Open Agent Readiness scanner here measures all of that towards a public spec so you'll be able to fix the gaps earlier than agents begin showing up at your site. Each scan teams checks into seven categories.
A failing category drops the overall score; a inexperienced class contributes weighted factors. The class breakdown lives in the general public leaderboard and in the JSON returned by the v1 API. Sitemap.xml, robots.txt, llms.txt, llms-full.txt, MCP server card, AP2 manifest, OpenAPI spec at a predictable path.
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| wroekaylene879(at)gmail(dot)com |
Ort: Croesgoch |
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Kellye  |
| kellye(dot)mcdermott(at)att(dot)net |
Ort: Boulogne-Billancourt |
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| teodorohanson911(at)gmail(dot)com |
Ort: West Palm Beach |
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| monettekristine750(at)gmail(dot)com |
Ort: Albbruck |
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