Fair meeting point discovery using real travel-time isochrones, not naive midpoints. Finds venues equally accessible to all participants with fairness scoring.
Enables agents to discover and rank cultural places from supplied artists or films, clarify preferences through reversible pairwise choices, and rebuild recommendations using a shared API and decision engine.
Enables MCP clients to choose group-friendly options by generating per-person Qloo recommendations and rankings for a shared shortlist, then applying maximin fairness and local diet/allergy checks to surface a pick nobody ranks low.
Enhances LLM capabilities with location-based services and geospatial data, enabling users to geocode addresses, find nearby points of interest, get directions, optimize meeting points, and analyze neighborhoods.
Enables MCP clients to submit a group’s favorite movies, books, restaurants, artists, or TV shows and receive a fairness-ranked common pick, three alternatives, and per-person reasons using Qloo affinity insights.