Key Features
Everything you need to build a verifiable knowledge infrastructure
Multi-source ingestion
Notion, Obsidian, Git, Drive, RSS
Embedded knowledge graph
Auto-link entities and concepts
Filecoin storage
Verifiable, censorship-resistant, auditable
Cryptographic proofs
Each retrieved passage is verifiable
MCP-compatible API
For AI agents and retrieval pipelines
Visual explorer
Browse your graph, documents, and provenance
Built-in payments
Optional micropayments for premium retrievals
Use Cases
Built for teams and individuals who value data integrity
AI Builders
Plug into your RAG stack for verifiable source retrieval
Researchers
Maintain permanent, linked archives of academic data
Teams
Unify knowledge across silos with provenance
Web3 Projects
Expose project documentation and research verifiably
API, Powered by x402 Protocol
Integrate in minutes. Use our SDK or REST API to query your graph, fetch verified documents, or connect directly to your agent framework.
curl -X POST https://groundline.vercel.app/api/mcp/query \
-d '{"query": "show research notes about decentralized AI"}'This query is sent to https://groundline.vercel.app/ and is payment gated using HTTP 402 responses.
Result → JSON with text, metadata, and proofBundle.
Development Roadmap
Our journey to building the future of verifiable knowledge infrastructure
Foundation & Core Infrastructure
Enhanced Data Processing
Advanced Features & Scaling
Ecosystem & Integration
Built for the Future of Open Knowledge
Decentralized. Searchable. Verifiable.
Your data should outlive your platform — and your AI should trust its sources.