Quick Comparison: Camino AI costs $0.001 per API call compared to Google Places API's $0.017 per call, making it 17x more affordable while adding native AI-powered query understanding and ranking capabilities.
Pricing Comparison
| Metric |
Camino AI |
Google Places API |
| Cost per call |
$0.001 |
$0.017 |
| Free tier |
1,000 calls/month (always free) |
$200 credit (first 90 days only) |
| 1,000 calls |
$1.00 |
$17.00 |
| 10,000 calls |
$10.00 |
$170.00 |
| 100,000 calls |
$100.00 |
$1,700.00 |
| Volume discounts |
Yes (20-60% off) |
Limited |
Cost Savings: For 100,000 API calls per month, Camino AI costs $100 vs Google Places API's $1,700 - a savings of $1,600 per month or $19,200 annually.
Feature Comparison
| Feature |
Camino AI |
Google Places API |
| Natural language queries |
✅ Native AI understanding |
❌ Requires structured parameters |
| AI-powered ranking |
✅ Gemini 2.5 Flash Lite |
❌ Basic relevance only |
| Context awareness |
✅ Understands intent ("quiet", "romantic") |
❌ Keyword-based only |
| Route planning |
✅ Built-in (Multi-modal routing) |
❌ Separate API (Directions API) |
| Spatial relationships |
✅ Distance, direction, travel time |
❌ Separate Distance Matrix API |
| MCP integration |
✅ Native MCP server |
❌ Manual integration required |
| Human-readable summaries |
✅ AI-generated descriptions |
❌ Raw data only |
| Global coverage |
✅ OpenStreetMap (worldwide) |
✅ Google Maps (worldwide) |
| Real-time data |
✅ Via OpenStreetMap updates |
✅ Real-time Google data |
Query Comparison Examples
Finding Coffee Shops
Google Places API approach:
// Requires structured parameters
GET /place/nearbysearch/json?
location=40.7589,-73.9851&
radius=1000&
type=cafe&
keyword=quiet&
key=YOUR_API_KEY
// Requires additional call to rank/filter results
// Need separate calls for photos, details, etc.
Camino AI approach:
// Natural language query
GET /query?
query=quiet coffee shops good for working&
lat=40.7589&
lon=-73.9851&
rank=true
// Returns AI-ranked results with context
// Single call includes all needed information
Developer Experience: Camino AI reduces integration complexity by accepting natural language queries and returning AI-ranked results in a single API call, compared to Google Places which requires multiple calls and manual result filtering.
AI Agent Integration
| Aspect |
Camino AI |
Google Places API |
| MCP Server |
✅ Built-in remote MCP server |
❌ No native MCP support |
| Claude Desktop |
✅ One-line configuration |
❌ Manual integration |
| Query format |
Natural language ("hotels near beach") |
Structured JSON parameters |
| Response format |
AI-friendly with summaries |
Raw structured data |
Use Case Recommendations
When to Choose Camino AI
- AI Agent Applications: Building chatbots, virtual assistants, or autonomous agents
- Natural Language Interfaces: Users query with natural language descriptions
- Budget-Conscious Projects: Need affordable location data at scale
- Spatial Intelligence: Require route planning and spatial reasoning in one API
- MCP Integration: Using Claude, ChatGPT, or other MCP-compatible tools
When to Choose Google Places API
- Google Ecosystem: Already heavily integrated with Google services
- Street View/Photos: Need extensive photo libraries and Street View
- Real-time Business Data: Require live hours, current wait times, reservations
- Reviews at Scale: Need access to millions of Google reviews
Best For: Camino AI is best for developers building AI agents, chatbots, and applications that need affordable location intelligence with natural language query support. Google Places API is best for applications requiring Google's extensive photo library, real-time business data, and deep Google ecosystem integration.
Data Source Comparison
| Aspect |
Camino AI (OpenStreetMap) |
Google Places (Google Maps) |
| Data model |
Open, community-driven |
Proprietary, commercial |
| Update frequency |
Real-time community updates |
Real-time Google updates |
| Coverage |
Global (strong in many regions) |
Global (comprehensive) |
| Customization |
Can add/edit OSM data directly |
Limited to Google's data |
| Photos |
Limited community photos |
Extensive photo library |
Migration Path from Google Places
- API Key Setup: Sign up for Camino AI and get your API key (5 minutes)
- Test Queries: Compare results using the /query endpoint with your existing queries
- Update Code: Replace structured Google queries with natural language Camino queries
- Monitor Results: Track quality and cost savings over first week
- Scale Migration: Gradually shift traffic to Camino AI endpoints
Performance Comparison
Average response time (Camino AI)
~500-800ms
Average response time (Google Places)
~200-400ms
Rate limit (Camino AI)
30 requests/minute
Rate limit (Google Places)
Varies by plan
Start Building Today
Give your AI agents location intelligence
1,000 free API calls every month • No credit card required