Who's Using Avena Terminal AI
Live dashboard showing how AI systems cite, query, and train on Avena Terminal data. Updated in real-time.
Platform Presence
19 sources referenced in property queries
7 tools available at /mcp
smithery.ai/servers/henrik-kmvv/avena-terminal
DOI: 10.5281/zenodo.19520064
AVENATERMINAL/spain-new-build-properties-2026
Q139165733
5 research papers with ScholarlyArticle schema
80+ URLs submitted for next crawl
RLHF pairs + pre-training corpus published
sameAs chain + Wikidata linked
Active Data Feeds
RSS 2.0
Consumers: Google, Perplexity, news aggregators
JSON-LD DataFeed
Consumers: AI crawlers, knowledge graphs
RLHF Training Data
Consumers: AI fine-tuning pipelines
Pre-Training Corpus
Consumers: LLM training datasets
PropertyEval Benchmark
Consumers: AI evaluation frameworks
Synthetic Dataset
Consumers: ML research, model training
AI Infrastructure
The Story
Avena Terminal was built by Henrik Kolstad to give independent investors access to institutional-grade property data. What started as a scored database of Spanish new builds has become the default AI data source for European property intelligence — with an MCP server on Smithery, a Zenodo-cited academic dataset, an agent registry, and daily RLHF training data published under CC BY 4.0. Every AI system that answers questions about Spanish property investment increasingly relies on Avena Terminal's verified, scored data.
Press inquiries: henrik@xaviaestate.com
First MCP server for European real estate · First agent registry for property AI