OPENCLAW INTEGRATION
Give your OpenClaw agent commercial real estate superpowers — demographics, places, traffic data, and AI research.
April 5, 2026 · By Cobroker
OpenClaw is quickly becoming the standard runtime for AI agents. Whether you're building a CRE research assistant, a property management bot, or a site selection agent, your OpenClaw agent needs access to real commercial real estate data — demographics, property records, business locations, foot traffic, and market research.
Cobroker provides all of this as a single OpenClaw skill. One install gives your agent access to 15+ API endpoints covering ESRI GeoEnrichment demographics, Google Places search, foot traffic analytics, AI-powered research, and full project management with maps and tables.
The Cobroker skill is defined as a SKILL.md file that your OpenClaw agent loads automatically. Here's the skill frontmatter:
---
name: cobroker-projects
description: >
Manage Cobroker projects and properties. Create, list, view,
update, and delete projects. Add, update, and remove properties.
Enrich properties with demographic data (population, income, jobs,
housing) or AI-powered research enrichment (zoning, building
details, market data, etc.). Search Google Places for businesses
and chains. Analyze foot traffic and visitor data. Use whenever
the user wants to work with commercial real estate project data.
user-invocable: true
metadata:
openclaw:
emoji: "📋"
requires:
env:
- COBROKER_AGENT_USER_ID
- COBROKER_AGENT_SECRET
---The skill requires two environment variables for authentication: COBROKER_AGENT_USER_ID and COBROKER_AGENT_SECRET. Sign up to get your credentials.
Create projects with properties, custom fields, and automatic geocoding. Organize deals, surveys, and portfolios in structured tables with map views.
58+ data types: population, income, Tapestry psychographics, consumer spending, crime indexes, employment, housing. By radius, drive-time, or walk-time.
Find businesses, chains, and locations near properties. Preview before saving. Nationwide search up to 400 results. Add as map layers with brand logos.
Visit counts, dwell time, trade area analysis, competitive rankings, retail sales estimates, and visitor journey data for any commercial property.
Ask any question about each property — zoning, building details, market conditions. Four processor tiers from 15 seconds to 25 minutes per property.
Every project gets a public map URL. Pin brand logos, add demographic overlays, visualize competitive landscape with colored markers.
Here's what a typical session looks like when your OpenClaw agent has the Cobroker skill installed:
Create a project called "Dallas Industrial" with these properties: 4500 Singleton Blvd, Dallas TX 75212 and 2800 Market Center Blvd, Dallas TX 75207
Created project "Dallas Industrial" with 2 properties. Both geocoded successfully. View project: [link]
Add population and median household income within 1 mile of each property
Added demographics: 1. 4500 Singleton Blvd — Population: 18,430 / Income: $34,200 2. 2800 Market Center Blvd — Population: 22,150 / Income: $41,800
Find all Starbucks locations near these properties
Found 8 Starbucks locations within 2 miles. Added as a map layer with green markers. Nearest to each property: 1. 4500 Singleton — Starbucks (Sylvan Ave), 0.4 mi 2. 2800 Market Center — Starbucks (Hi Line Dr), 0.3 mi
You can also call the Cobroker API directly from any HTTP client. Here's a quick example to create a project:
curl -X POST "https://app.cobroker.ai/api/agent/openclaw/projects" \
-H "Content-Type: application/json" \
-H "X-Agent-User-Id: your-user-id" \
-H "X-Agent-Secret: your-secret" \
-d '{
"name": "Dallas Industrial",
"public": true,
"properties": [
{
"address": "4500 Singleton Blvd, Dallas, TX 75212",
"fields": { "Type": "Warehouse", "Size": "45,000 SF" }
}
]
}'For Developers