AgentMarkup listing history
By Anima Felix · ChatGPT Plugins · Developer Tools
Make sites readable by AI
ChatGPT Plugins does not publish install or usage counts, so PluginStats tracks AgentMarkup's listing placement instead, currently position #1450 in the marketplace's popularity-sorted listing.
Category positions: #345 in Developer Tools
About AgentMarkup
agentmarkup generates the machine-readable layer of a website at build time: llms.txt, JSON-LD structured data, markdown mirrors, AI-crawler robots.txt rules and Content-Signal headers, then validates what the build actually produced. It works out which layer owns your final HTML and installs the matching adapter rather than guessing from what is already in package.json: Vite, Astro, Next or Nuxt, plus a framework-agnostic CLI for any other directory of built HTML, and core helpers for custom pipelines and dynamic SSR routes. Inspecting your repo is read-only. Before installing a package, writing config, running a build, or making an outbound request to a deployed site, it stops and presents a single plan naming the package, every file that would change, and the exact commands. Validation is deterministic: a missing required field is an error, a missing recommended field is a warning. There is no score, grade or percentage. Existing curated llms.txt, robots.txt, _headers and JSON-LD are preserved unless you explicitly opt into replacement. Open source and MIT licensed.
Description from the ChatGPT Plugins listing.
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Filled points are observed values; hollow points come from Internet Archive snapshots of the listing page. Dashed segments span periods with no observations — values between points are not interpolated.
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OpenAI does not publish install counts or ratings for ChatGPT plugins. PluginStats records listing details and each plugin's placement in the directory over time: overall position follows the Popular list, then New & Noteworthy, then each category in directory order.
Listing: https://chatgpt.com/plugins/plugins_6a8b0b7467608191957e13de61284a20. First seen Oct 16, 2026; last successful collection Oct 20, 2026. See the methodology.