{
  "markdown": "# Dominion Observatory\n\n**The behavioral trust layer for the AI agent economy.**\n\nCheck MCP server reliability before you call. Report outcomes to strengthen the trust network.\n\n🌐 **Live:** https://dominion-observatory.sgdata.workers.dev\n📡 **MCP Endpoint:** https://dominion-observatory.sgdata.workers.dev/mcp\n\n## What is this?\n\nEvery AI agent needs to know: *\"Can I trust this MCP server?\"* The Dominion Observatory answers that question with real runtime data — not GitHub stars, not static scans, but actual performance metrics from real agent interactions.\n\n- **Before** calling an unknown MCP server → `check_trust` tells you if it's reliable\n- **After** calling any MCP server → `report_interaction` contributes to the trust network\n- **Every report makes scores better for everyone** — this is a collective intelligence system\n\n## Tools (8)\n\n| Tool | Description |\n|------|-------------|\n| `check_trust` | Get trust score and reliability metrics for any MCP server |\n| `report_interaction` | Report success/failure after calling an MCP server |\n| `get_leaderboard` | Top-rated MCP servers by category |\n| `get_baselines` | Behavioral baselines for a tool category |\n| `check_anomaly` | Is this server behavior normal or anomalous? |\n| `register_server` | Register a new MCP server (free) |\n| `get_server_history` | 30-day trust score trend for a server |\n| `observatory_stats` | Overall network statistics |\n\n## Quick Start\n\n### For agents (MCP)\nConnect to: `https://dominion-observatory.sgdata.workers.dev/mcp`\n\n### For developers (REST API)\n```bash\n# Check trust score\ncurl \"https://dominion-observatory.sgdata.workers.dev/api/trust?url=https://example.workers.dev/mcp\"\n\n# View leaderboard\ncurl \"https://dominion-observatory.sgdata.workers.dev/api/leaderboard\"\n\n# Network stats\ncurl \"https://dominion-observatory.sgdata.workers.dev/api/stats\"\n```\n\n## How Trust Scores Work\n\nTrust scores range from 0-100 and combine two signals:\n\n- **Static score (30%)**: GitHub presence, documentation quality, authentication support\n- **Runtime score (70%)**: Real success rates, latency, error patterns from agent interactions\n\nScores above 70 = reliable. Below 30 = risky. The more agents report interactions, the more accurate scores become.\n\n## Architecture\n\n- **Runtime:** Cloudflare Workers (330+ global edge locations, <1ms cold start)\n- **Database:** Cloudflare D1 (SQLite at the edge)\n- **Protocol:** MCP (Model Context Protocol) + REST API\n- **Cost:** Runs on free tier\n\n## Data Collection\n\nStarted: April 8, 2026\n\nEvery interaction reported to the observatory strengthens the trust network for all agents. The behavioral dataset compounds daily — it cannot be replicated by competitors who start later.\n\n## Categories\n\nweather · finance · code · data · search · compliance · transport · productivity · communication\n\n## Operator\n\nBuilt by [Dinesh Kumar](https://github.com/vdineshk) in Singapore.\nPart of the Dominion Agent Economy Engine (DAEE).\n\n## License\n\nMIT\n",
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}