Knowledge graph data layers
VibeGraph builds living knowledge graphs of a vertical. Every entity, every relationship, every market signal, reconciled into one structured layer your team and your AI agents query over app, API, and MCP.
What we do
We map the messy reality of a vertical into canonical entities and the typed relationships between them, so the whole market reads as one queryable structure.
Your agents reach the graph over MCP and REST and answer from verified, structured data instead of scraping pages and guessing.
Refreshed from primary sources on a schedule, so the graph reflects the market as it is today, with every claim traceable to its source.
How it works
Pull the scattered, unstructured sources of a niche: listings, menus, filings, signals.
Dedupe and reconcile everything into one canonical record per entity, with AI on the judgment calls.
Connect entities with a typed grammar: who sells what, supplies whom, competes with whom.
Query it over a web app, a REST API, or an MCP endpoint your agents call directly.
Instances
Who works from it
Agents call the graph for clean, structured ground truth instead of scraping the open web and hallucinating.
Find, score, and prioritize accounts in a vertical with data that is already reconciled and current.
Map an entire vertical in one place, with a source attached to every entity and relationship.
If your vertical has scattered, messy, valuable data, it can become a graph your team and your agents work from every day. Let’s scope it.
Email hendrik@vibelab.be →