data-refinery

data-refinery

Enables AI agents to query structured data refined from unstructured web sources, including developer breaking changes, B2B pricing matrices, regulatory compliance, semantic search, and on-demand URL refinement.

Category
访问服务器

README

Universal Data Refinery

<p align="center"> <img src="apps/web/public/logo.png" alt="Universal Data Refinery Logo" width="620" /> </p>

<p align="center"> <strong>High-Performance Edge-Native Machine Intelligence Refinery for AI Agents</strong><br> Built on Cloudflare Workers AI, D1 SQL, Vectorize, and the Model Context Protocol (MCP). </p>


🌟 Why Data Refinery?

In the emerging Agent Internet, AI models and autonomous agents (Claude, Cursor, OpenAI Agents, custom bots) starve for clean, structured, real-time, deterministic data. Raw web scraping is noisy, token-expensive, and prone to hallucinations.

The Universal Data Refinery transforms messy, fragmented web documentation, pricing pages, municipal codes, and release logs into strict, schema-validated JSON with automatic semantic diffing and sub-second edge retrieval.


🚀 Built-in Refined Domains

1. 📦 Developer Ecosystem & Breaking Changes

  • Extracts: Affected symbols, removal vs deprecation status, signature changes, and exact code migration snippets.
  • Solves: AI coding assistant hallucinations regarding outdated syntax and breaking SDK upgrades.

2. 💰 B2B SaaS, Cloud & API Pricing Matrices

  • Extracts: Normalized monthly/annual pricing, included quotas, usage-based rates, hidden contract caveats, and overage fees.
  • Solves: Autonomous procurement and cost-estimation calculations for AI agents.

3. 🏛️ Localized Regulatory & Compliance Intelligence

  • Extracts: Municipal ordinances, short-term rental permits, zoning rules, mandatory deadlines, and penalties.
  • Solves: Legal and business compliance research without manual human paralegal effort.

4. 🌐 Universal On-Demand Web Refinery

  • Extracts: Feed any URL + custom prompt on the fly. Workers AI extracts strict JSON, validates against Zod, computes diffs, and saves to D1 SQL.

🏗️ Architecture

[ Raw Web Sources ] ──► [ Cloudflare Worker Pipeline ]
                              │
                              ├── 1. Ingest (Scheduled Cron / Webhooks)
                              ├── 2. HTML to Dense Markdown Sanitizer
                              ├── 3. Workers AI (Llama 3.3 / Mistral) Structured Extraction
                              ├── 4. Semantic Diffing Engine (Delta Classification)
                              └── 5. BGE Vector Embeddings (Vectorize Index)
                              │
                              ▼
                [ Cloudflare D1 SQL + Workers KV ]
                              │
             ┌────────────────┴────────────────┐
             ▼                                 ▼
   🤖 MCP Server for AI Agents        ⚡ REST / OpenAPI Endpoints
   (Claude Desktop, Cursor, etc.)     🖥️ Refinery Studio (Pages UI)

💻 Getting Started

Prerequisites

  • Node.js 20+
  • Cloudflare Wrangler CLI (npm install -g wrangler or via npm scripts)

Installation

# Clone & install dependencies
npm install

# Build shared schema
npm run build --workspace=packages/schema

# Apply local D1 database migrations with demo seed data
npm run db:migrate:local

Run Locally

# Start Cloudflare Worker backend (port 8787)
npm run dev:worker

# Start Refinery Studio Web Dashboard (port 5173)
npm run dev:web

# Or run both concurrently:
npm run dev:all

🤖 Connecting AI Agents via MCP (Model Context Protocol)

Add the refinery to your claude_desktop_config.json or .cursor/mcp.json:

{
  "mcpServers": {
    "data-refinery": {
      "url": "http://localhost:8787/mcp"
    }
  }
}

Exposed Native Tools:

  • refinery_dev_breaking_changes({ packageOrService, targetVersion, breakingOnly })
  • refinery_b2b_pricing_matrix({ companyOrProduct, category })
  • refinery_regulatory_compliance({ jurisdiction, topic })
  • refinery_semantic_search({ query, domain, topK })
  • refinery_refine_custom_url({ url, instructionPrompt })

📜 License

MIT

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