API for AI Agents
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Overview
The API for AI Agents provides structured, real-time data essential for automating property evaluation workflows in PropTech AI systems. It stitches together multiple API endpoints — Makani Search API, Developers API, Brokers API, and Property Price Indexes API — enabling agents to retrieve location data, property attributes, rental and sales analytics, broker information, and risk layers, all in one orchestrated flow.
Consultations are available upon request for all users interested in API integration (Google Meet / Zoom).
Available APIs
- Makani Search API — search by unique 10-digit Makani Number to locate properties, retrieve entrance-level coordinates, classify property type, and plan logistics.
- Developers API — access GeoAnalytics layers including flood risk, crime metrics, traffic accident rate, infrastructure, and zoning data.
- Brokers API — fetch comprehensive listings of registered real estate broker firms and agents in Dubai, as recognized by the Dubai Land Department.
- Property Price Indexes API — retrieve standardized, up-to-date metrics such as median sale/rent prices (per m²) and Cap Rates for communities, master-developments, and buildings. RESTful JSON interfaces accessible using OAuth 2.0.
Help & support
If you have any questions using the API, questions or want to upgrade to a paid plan, please contact us on support@smartindexes.com.
How it works for AI Agents
- AI agent receives intent (e.g., «find commercial properties within 1 km of business community, high Cap Rate and low flood risk»).
- Requests Makani Search API to resolve location and retrieve base property attributes.
- Queries Property Price Indexes API for yield metrics (Cap Rate, sale/rent median).
- Calls Developers API for contextual risk scores and infrastructure data.
- Uses Brokers API for agent contacts or listing metadata if needed.
- Orchestrates and normalizes data, ranks candidate assets, and provides explainable recommendations.
Why it's powerful
- Comprehensive coverage: combines property identifiers based on 10-digit Makani Number, pricing analytics, and risk layers from a single platform.
- Geographically precise: Makani-based searches ensure consistent spatial joins and building-level accuracy.
- Explainable AI-ready: each result is driven by metric-level contributions — pricing, risk, location, and broker context.
- Developer-friendly: standard REST interfaces, JSON formats, and OAuth 2.0 make integration seamless.
Typical Use Cases
- Automated shortlisting: AI agents generate location-specific lists based on yield vs. risk trade-offs.
- Chatbots for real estate queries: answer property questions with data accuracy (e.g., «What is the Cap Rate and Flood Risk at this Makani?»).
- Underwriting and advisory tools: combine broker data with pricing and risk layers for investment readiness assessments.
Getting Started
Begin with the Property Price Indexes API to fetch core pricing metrics. Use the Makani Search API to resolve property location, then enrich with risk and infrastructure via Developers API. Optionally, pull broker data when building user-facing proposal flows.
All endpoints follow REST conventions and return JSON. The Property Price Indexes API supports OAuth 2.0.