Camino AI API Features - Complete Overview | Location Intelligence for AI

Camino AI Features: Natural language location queries, AI-powered result ranking, spatial relationship calculations, multi-modal route planning, location context analysis, and native MCP server integration for AI agents.

Core Features

🗣️ Natural Language Queries

Search locations using plain English: "quiet coffee shops with WiFi" instead of complex filter parameters.

Understands context and intent
Interprets adjectives ("romantic", "budget-friendly", "family-oriented")
Handles multi-criteria queries

🤖 AI-Powered Ranking

Results ranked by relevance using advanced language models.

Semantic understanding of queries
Context-aware result ordering
Optional AI-generated summaries

📍 Spatial Intelligence

Calculate distances, directions, and spatial relationships between locations.

Distance in km and miles
Cardinal direction (N, SE, etc.)
Travel time estimates
Human-readable descriptions

🗺️ Route Planning

Multi-modal routing powered by Multi-modal routing engine.

Driving routes
Cycling routes
Walking/pedestrian routes
Turn-by-turn directions

🌍 Global Coverage

Access worldwide location data via OpenStreetMap.

200+ countries and territories
Updated by 10M+ contributors
Comprehensive POI database

🔌 MCP Integration

Native Model Context Protocol server for AI agents.

Works with Claude Desktop
Compatible with ChatGPT
One-line configuration
Remote server (no local install)

API Endpoints

/query - Location Search

Main endpoint for natural language location queries.

Parameter	Type	Description
query	string	Natural language search ("coffee shops near me")
lat	float	Latitude coordinate
lon	float	Longitude coordinate
radius	integer	Search radius in meters (default: 1000)
rank	boolean	Enable AI ranking (default: true)
limit	integer	Max results 1-100 (default: 20)
answer	boolean	Generate AI summary (default: false)

/relationship - Spatial Relationships

Calculate distance, direction, and travel time between two points.

POST /relationship
{
  "start": {"lat": 40.7589, "lon": -73.9851},
  "end": {"lat": 40.7614, "lon": -73.9776},
  "include": ["distance", "direction", "travel_time", "description"]
}

/route - Route Planning

Calculate optimal routes with turn-by-turn directions.

GET /route?
  start_lat=40.7589&start_lon=-73.9851&
  end_lat=40.7614&end_lon=-73.9776&
  mode=foot

/context - Location Context

Get AI-generated contextual information about an area.

POST /context
{
  "location": {"lat": 40.7589, "lon": -73.9851},
  "radius": 500,
  "context": "Describe this neighborhood for families"
}

/journey - Multi-Stop Planning

Optimize routes with multiple waypoints.

POST /journey
{
  "waypoints": [
    {"lat": 40.7589, "lon": -73.9851, "purpose": "Hotel"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "Museum"},
    {"lat": 40.7580, "lon": -73.9855, "purpose": "Restaurant"}
  ],
  "constraints": {"transport": "walking", "time_budget": "4 hours"}
}

API Capabilities: Camino AI provides 5 main endpoints - /query for location search, /relationship for spatial calculations, /route for navigation, /context for area analysis, and /journey for multi-stop planning.

Advanced Features

Intelligent GPS Coordinate Generation

When coordinates aren't provided, AI automatically generates approximate coordinates for known locations.

// No coordinates provided
GET /query?query=hotels in Paris&rank=true

// AI automatically uses ~48.8566, 2.3522 (Paris center)

Context-Aware Query Understanding

AI interprets intent and context within queries:

"quiet" = low-traffic, peaceful locations
"romantic" = intimate, scenic settings
"work-friendly" = WiFi, power outlets, quiet atmosphere
"family-friendly" = kid amenities, safe environment

Multi-Criteria Filtering

Combine multiple requirements in one query:

GET /query?
  query=pet-friendly hotels with parking near beach under $200&
  lat=33.7701&lon=-118.1937&rank=true

Technical Specifications

API Protocol REST + JSON-RPC (MCP)

Authentication API Key (X-API-Key header)

Rate Limit 30 requests/minute

Response Format JSON

Max Results 100 per query

Timeout 30 seconds

Data Sources

Location Data: OpenStreetMap global database
AI Processing: advanced language models
Routing Engine: Multi-modal routing engine
Geocoding: Address and coordinate resolution

Response Format Example

{
  "results": [
    {
      "name": "Blue Bottle Coffee",
      "type": "cafe",
      "lat": 40.7614,
      "lon": -73.9776,
      "address": "450 W 15th St, New York, NY",
      "distance_km": 0.8,
      "distance_miles": 0.5,
      "tags": {
        "amenity": "cafe",
        "cuisine": "coffee_shop",
        "opening_hours": "Mo-Fr 07:00-19:00",
        "website": "bluebottlecoffee.com"
      }
    }
  ],
  "answer": "Blue Bottle Coffee is a popular coffee shop located 0.5 miles from your location, known for high-quality pour-over coffee and minimalist design. Open weekdays 7am-7pm.",
  "total_results": 8,
  "query_timestamp": "2025-11-23T10:30:00Z"
}

SDKs and Libraries

Official and community SDKs:

Python: requests library (REST API)
JavaScript/TypeScript: fetch or axios
MCP: @modelcontextprotocol/server-http
cURL: Direct HTTP requests

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