{
  "markdown": "# OpenAgent Registry\n\n> The open registry, scanner, and leaderboard for agent-ready websites and services.\n\nOpenAgent Registry (**OAR**) does three things in one place:\n\n1. **Scans** any URL for the full stack of agent-access signals - `llms.txt`, `agents.txt` / `agents.json`, `AGENTS.md`, `.well-known/agent-card.json`, `robots.txt` + Content Signals, OpenAPI, OAuth discovery, RSL licensing, MCP/A2A registry presence - and aggregates upstream registries instead of re-doing their work.\n2. **Scores** each site against a transparent, public rubric and ranks it within its industry category.\n3. **Tells you what to do about it** - a concrete approval-path checklist with deep links to the actual developer applications, OAuth signups, partner programs, and standards-adoption steps. *Lead with the checklist; the score is supporting evidence.*\n\n**Sources of authoritative scoring credit** (registries / standards bodies):\n\n- [Official MCP Registry](https://registry.modelcontextprotocol.io/) - the MCP working group's catalog of MCP servers (+25 if your domain ships one)\n- Standards: [llms.txt](https://llmstxt.org/), [agents.txt / agents.json](https://agents-txt.com/), [A2A Protocol](https://a2a-protocol.org/), [Web Bot Auth](https://datatracker.ietf.org/doc/draft-meunier-web-bot-auth-architecture/), [RSL](https://rslstandard.org/)\n\n**Community resources used for domain discovery only** (no score credit; we use these to know which sites to scan):\n\n- [thedaviddias/llms-txt-hub](https://github.com/thedaviddias/llms-txt-hub) - one maintainer's community list of sites publishing `llms.txt`\n- [Agent Friendly Directory](https://gist.github.com/sklivvz/cc23ace1b277265e9828b6e39f6e9103) - sklivvz's curated agent-usable services\n- [A2A Registry](https://github.com/prassanna-ravishankar/a2a-registry) - community directory of A2A agents\n- [LLMTEXT](https://parallel.ai/blog/LLMTEXT-for-llmstxt) - `llms.txt` validation toolkit\n\nWhat OAR adds that none of the above does today:\n\n- **Comparative leaderboards by industry category** (rentals, shopping, content, social, developer)\n- **Approval-path generator** - concrete next steps, not just \"you have OAuth\"\n- **Aggregation across the full stack** in one report\n- **Change monitoring** over time\n- **A public, free API** so agents (including your own) can query it before calling external services\n\n## Status\n\nPre-alpha but live. **Public deploy: https://openagent-registry.vercel.app**.\n\nAfter the v0.1 import, the registry tracks **1,400+ services across 6 industry categories**, sourced from the original seed plus an import of [llms-txt-hub](https://github.com/thedaviddias/llms-txt-hub). Every service has a live score, a label, and a generated approval-path checklist. Looking for contributors - especially for approval-path data per service (the moat).\n\n## Stack\n\n- **Next.js 15** (App Router) + **TypeScript** + **Tailwind CSS**\n- **No backend service** in v0 - Next.js API routes do the scanning\n- Local JSON cache for MVP; Postgres or Vercel KV for production scale\n- Deploys natively to **Vercel**\n\n## Quickstart\n\n```bash\npnpm install\npnpm dev\n```\n\nThen open <http://localhost:3000>.\n\n## How scoring works\n\nSee [`docs/rubric.md`](docs/rubric.md). Every signal is weighted, every weight is published, every score is reproducible from the JSON profile. No black-box scoring.\n\nThe current rubric (summary):\n\n| Signal | Points |\n|---|---|\n| Official MCP server in MCP Registry | +25 |\n| A2A Agent Card found | +25 |\n| `agents.json` (root or `.well-known`) | +15 |\n| OpenAPI spec found | +15 |\n| Web Bot Auth / signed-agent support | +15 |\n| Official developer docs | +10 |\n| Partner / approval path documented | +10 |\n| OAuth/OIDC discovery | +10 |\n| `agents.txt` standard | +10 |\n| `llms.txt` | +8 |\n| `AGENTS.md` | +8 |\n| RSL / licensing manifest | +8 |\n| `robots.txt` allows docs/API | +5 |\n| Cloudflare Content Signals present | +5 |\n| `llms-full.txt` (extended) | +5 |\n| Listed in llms-txt-hub | +5 |\n| Listed in Agent Friendly Directory | +5 |\n| `ai-plugin.json` (deprecated signal) | +2 |\n| Explicit bot/agent prohibition | -50 |\n| Blocks automation, no API alternative | -30 |\n| Unknown terms / can't parse | -10 |\n\nLabels:\n\n| Score | Label |\n|---|---|\n| 80–100 | Agent-ready |\n| 60–79 | Agent-friendly |\n| 40–59 | Partially agent-accessible |\n| 20–39 | API-only / limited |\n| 0–19 | Unknown |\n| <0 | Likely blocked |\n\n## Categories\n\n- **Rentals & Travel** - Airbnb, Booking, Hertz, Avis, Enterprise, Expedia, Vrbo, AutoRentals\n- **Shopping & Commerce** - Amazon, Shopify, Stripe, Target, Walmart, BestBuy, Etsy\n- **Content & News** - NYT, WaPo, Bloomberg, Reuters, Substack, Medium\n- **Social & Community** - Reddit, X, LinkedIn, Bluesky, Mastodon, Discord\n- **Developer Platforms** - GitHub, Vercel, Cloudflare, npm, AWS, plus 800+ dev tools from the upstream import\n- **AI & ML Platforms** - Anthropic, OpenAI, and 500+ AI/ML platforms publishing `llms.txt`\n\nWithin each category, services are ranked by their AgentRank score. The category page is the SEO-friendly editorial surface: *\"Top agent-ready rental sites, [month] [year]\"*.\n\n## Contributing\n\nSee [`CONTRIBUTING.md`](CONTRIBUTING.md). The three highest-leverage contributions today:\n\n1. **Add services** to `data/seed.json` (a category, a homepage URL, optional notes) - opens a PR; CI runs a scan against it.\n2. **Tighten parsers** for the well-known files. The MVP parsers are intentionally conservative - better parsers raise the data quality for everyone.\n3. **Approval-path data** - concrete next-step instructions per service (developer signup URL, OAuth scopes needed, partner-program form). This is the killer feature; quality is the moat.\n\n## License\n\n[Apache 2.0](LICENSE).\n",
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