About Evendo's World Model
The location intelligence layer for AI and travel applications
Places are more than names on a map. Applications need to understand which region contains a city, what kinds of venues exist there, which places match a traveler's needs, and which ones are worth prioritizing. Evendo's World Model provides structured geographic and venue knowledge that software can query and reason over.
Access that model through MCP, designed for AI-agent workflows, or directly through GraphQL, designed for flexible programmatic queries. Both interfaces work with countries, regions, cities, neighbourhoods and places of interest, including restaurants, bars, shopping, attractions and landmarks.
What makes it useful
- Place-first discovery. Resolve a country, region, city or neighbourhood before finding venues within it. Geographic hierarchy matters; a city name is not merely another search keyword.
- Rich place knowledge. Depending on the record: address, coordinates, description, categories, audience suitability, amenities, ambience, ratings, review counts and links.
- Choice and relevance. Filter results by budget, interests, atmosphere, accessibility and other structured attributes.
- Evendo Place Score. A proprietary 0–100 assessment of place popularity and quality, enabling quality-aware ranking that complements—rather than simply repeats—review averages.
- Read-only integration. Discover and describe places without booking, payment or mutation tools.
What developers can build
AI trip planners can find and prioritize candidate stops, then combine them with their own scheduling, mapping and availability sources. Destination discovery applications can build searchable guides from countries to neighbourhoods. Place-knowledge assistants can answer grounded questions about specific locations. Recommendation engines can combine preferences with Place Score. Hospitality and travel products can enrich an existing interface with destination content.
A typical flow
- Resolve Madrid to Evendo city ID
27799. - Discover attractions within that city, not from an unrestricted global search.
- Apply preferences and score thresholds; sort the results.
- Fetch full details about Museo Nacional del Prado (example ID
3127593). - Build a guide, recommendation list or itinerary draft using the returned place data.
Boundaries
Evendo's MCP is a location-knowledge and discovery layer. It does not itself execute bookings or calculate live opening status, trip duration, routes or transport schedules. Production itinerary planners should integrate the appropriate services for these tasks.