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Camino Real Estate

Evaluate any address for home buyers and renters.

Rating: 4.4 (430 reviews)
Downloads: 27,867 downloads
Version: 1.0.0

Overview

Evaluate any address for home buyers and renters.

Complete Documentation

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Installation

Companion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) for comprehensive coverage.

bash

# Install all skills from repo
npx skills add https://github.com/barneyjm/camino-skills

# Or install specific skills
npx skills add https://github.com/barneyjm/camino-skills --skill real-estate

Via clawhub:

bash

npx clawhub@latest install real-estate
# or: pnpm dlx clawhub@latest install real-estate
# or: bunx clawhub@latest install real-estate

Real Estate Scout

Evaluate any address or location for home buyers and renters. Combines location context analysis with targeted amenity searches to surface nearby schools, transit, grocery stores, parks, restaurants, and walkability insights.

Setup

Instant Trial (no signup required): Get a temporary API key with 25 calls:

bash

curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "[email protected]"}' \
  https://api.getcamino.ai/trial/start

Returns: {"api_key": "camino-xxx...", "calls_remaining": 25, ...}

For 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.

Add your key to Claude Code:

Add to your ~/.claude/settings.json:

json

{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}

Restart Claude Code.

Usage

Via Shell Script

bash

# Evaluate an address
./scripts/real-estate.sh '{"address": "742 Evergreen Terrace, Springfield", "radius": 1000}'

# Evaluate with coordinates
./scripts/real-estate.sh '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 1500}'

# Evaluate with smaller radius for dense urban area
./scripts/real-estate.sh '{"address": "350 Fifth Avenue, New York, NY", "radius": 500}'

Via curl

bash

# Step 1: Geocode the address
curl -H "X-API-Key: $CAMINO_API_KEY" \
  "https://api.getcamino.ai/query?query=742+Evergreen+Terrace+Springfield&limit=1"

# Step 2: Get context with real estate focus
curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 1000, "context": "real estate evaluation: schools, transit, grocery, parks, restaurants, walkability"}' \
  "https://api.getcamino.ai/context"

Parameters

Parameter	Type	Required	Default	Description
address	string	No	-	Street address to evaluate (geocoded automatically)
location	object	No	-	Coordinate with lat/lon to evaluate
radius	int	No	1000	Search radius in meters around the location

*Either address or location is required.

Response Format

json

{
  "area_description": "Residential neighborhood in Midtown Manhattan with excellent transit access...",
  "relevant_places": {
    "schools": [...],
    "transit": [...],
    "grocery": [...],
    "parks": [...],
    "restaurants": [...]
  },
  "location": {"lat": 40.7589, "lon": -73.9851},
  "search_radius": 1000,
  "total_places_found": 63,
  "context_insights": "This area offers strong walkability with multiple grocery options within 500m..."
}

Examples

Evaluate a suburban address

bash

./scripts/real-estate.sh '{"address": "123 Oak Street, Palo Alto, CA", "radius": 1500}'

Evaluate an urban apartment

bash

./scripts/real-estate.sh '{"location": {"lat": 40.7484, "lon": -73.9857}, "radius": 800}'

Evaluate a neighborhood by coordinates

bash

./scripts/real-estate.sh '{"location": {"lat": 37.7749, "lon": -122.4194}, "radius": 2000}'

Best Practices

Use address for street addresses; the script will geocode them automatically
Use location with lat/lon when you already have coordinates
Start with a 1000m radius for suburban areas, 500m for dense urban areas
Combine with the relationship skill to calculate commute distances to workplaces
Combine with the route skill to estimate travel times to key destinations
Use the school-finder skill for more detailed school searches

Installation

Terminal bash


openclaw install camino-real-estate

Copied!

💻Code Examples

# or: bunx clawhub@latest install real-estate

-or-bunx-clawhublatest-install-real-estate.txt

# Real Estate Scout

Evaluate any address or location for home buyers and renters. Combines location context analysis with targeted amenity searches to surface nearby schools, transit, grocery stores, parks, restaurants, and walkability insights.

## Setup

**Instant Trial (no signup required):** Get a temporary API key with 25 calls:

https://api.getcamino.ai/trial/start

-httpsapigetcaminoaitrialstart.txt

Returns: `{"api_key": "camino-xxx...", "calls_remaining": 25, ...}`

For 1,000 free calls/month, sign up at [https://app.getcamino.ai/skills/activate](https://app.getcamino.ai/skills/activate).

**Add your key to Claude Code:**

Add to your `~/.claude/settings.json`:

}

.txt

Restart Claude Code.

## Usage

### Via Shell Script

"https://api.getcamino.ai/context"

-httpsapigetcaminoaicontext.txt

## Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| address | string | No* | - | Street address to evaluate (geocoded automatically) |
| location | object | No* | - | Coordinate with lat/lon to evaluate |
| radius | int | No | 1000 | Search radius in meters around the location |

*Either `address` or `location` is required.

## Response Format

}

.txt

## Examples

### Evaluate a suburban address

example.sh

# Install all skills from repo
npx skills add https://github.com/barneyjm/camino-skills

# Or install specific skills
npx skills add https://github.com/barneyjm/camino-skills --skill real-estate

example.sh

npx clawhub@latest install real-estate
# or: pnpm dlx clawhub@latest install real-estate
# or: bunx clawhub@latest install real-estate

example.sh

curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "[email protected]"}' \
  https://api.getcamino.ai/trial/start

example.json

{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}

example.sh

# Evaluate an address
./scripts/real-estate.sh '{"address": "742 Evergreen Terrace, Springfield", "radius": 1000}'

# Evaluate with coordinates
./scripts/real-estate.sh '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 1500}'

# Evaluate with smaller radius for dense urban area
./scripts/real-estate.sh '{"address": "350 Fifth Avenue, New York, NY", "radius": 500}'