RankSight
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AI-Ready Architecture

Machine Discovery & Agent API

RankSight is built from the ground up to be discovered, queried, and verified by AI agents, LLMs, developer tools, and autonomous crawlers.

/llms.txt

Quick Knowledge

Concise index and principles for context windows.

/llms-full.txt

Full Knowledge Base

Exhaustive project catalog & algorithm details.

/openapi.json

OpenAPI 3.1 Spec

Machine-readable JSON schema for all endpoints.

Model Context Protocol

MCP Server

Native tools for Claude Desktop, Cursor, & AI SDKs.

REST API (v1)

Base URL: https://ranksight.lol/api/v1

GET/api/v1/projects

Paginated list of public projects. Supports query parameters: q, category, product_type, pricing_type, verified, sort (rank|trending|new|shares|name), page, limit.

curl -X GET "https://ranksight.lol/api/v1/projects?sort=rank&limit=10"
GET/api/v1/projects/:slug

Full public metadata for a project, including socials, updates, alternatives, and rank history.

curl -X GET "https://ranksight.lol/api/v1/projects/outbid"
GET/api/v1/projects/check?url=...

Normalized URL and domain existence check to verify if a software product is already cataloged.

curl -X GET "https://ranksight.lol/api/v1/projects/check?url=https://outbid.lol"
GET/api/v1/rankings

Official leaderboard rankings computed from verified 𝕏 distribution, unique sharers, freshness, and quality. Matches the website leaderboard.

curl -X GET "https://ranksight.lol/api/v1/rankings?category=ai-tools"
GET/api/v1/search?q=...

Full-text pattern search against name, description, category, and target audience.

curl -X GET "https://ranksight.lol/api/v1/search?q=research"
POST/api/v1/projects

Submit a new project. Rate limited and protected by anti-abuse duplicate filters.

curl -X POST "https://ranksight.lol/api/v1/projects" \
  -H "Content-Type: application/json" \
  -d '{"name":"Example","website_url":"https://example.com","category_id":"developer-tools","tagline":"Fast dev tool","what_it_does":"Accelerates dev workflows","owner_email":"founder@example.com"}'

Model Context Protocol (MCP) Server

Connect Claude Desktop, Cursor, or your autonomous agent directly to live RankSight data.

Add the RankSight MCP server to your claude_desktop_config.json or cursor configuration:

{
  "mcpServers": {
    "ranksight": {
      "command": "npx",
      "args": ["-y", "tsx", "src/mcp/server.ts"]
    }
  }
}

Exposed MCP Tools:

  • search_projects(query, limit?) - Search projects by keyword, domain, or technology
  • get_project(slug) - Inspect complete project metadata, verification status, and rank history
  • get_rankings(category?, limit?, page?) - Retrieve official leaderboard rankings
  • get_categories() - List all categories with live project counts
  • get_new_projects(limit?) - Query newly listed tools and startups
  • get_trending(limit?) - Query high-momentum projects by 𝕏 share velocity
  • check_project(url) - Verify if a domain is already cataloged on RankSight
  • get_stats() - Query live platform metrics