Makani Search API

The Makani Search API consists of 35 endpoints, designed around a classified catalog of geo-objects in the Emirate of Dubai, with building entry points and geoanalytics linked through Makani Numbers (10-digit public identifiers).

Makani Search API v.2 — Highlights

• In Makani Search API v.2 there are total: 35 endpoints.
  
  • Search: 7 endpoints.
  • Main geoanalytics: 13 endpoints.
  • Supported geoanalytics: 15 endpoints.
• Makani Index — an official register of full, up-to-date addresses for buildings and development projects in Dubai, structured according to Dubai Land Department (DLD) identification standards.
• Makani-based precision search
  Search by Makani Number, address, parcel id, property id, project name, master project, community, or coordinates.
• Official Dubai geodata coverage
  Ownership, entrances, flood risk, traffic, transport, crime, population, roads, metro, EV, retail and more.
• Property & risk analytics
  Flood, traffic, crime, and accessibility indicators at multiple geographic levels.
• AI & LLM ready
  Deterministic endpoints designed for AI agents, summaries, rankings, and comparisons.
• Entrance-level geometry
  Exact building entrances and polygons returned in GeoJSON (WGS84).
• Secure & controlled access
  API key or JWT authentication, dataset-level permissions, HTTPS-only.
• Production-grade limits
  Multi-level rate limiting with full usage headers and predictable resets.
• Bulk export support
  Single queries or bulk dataset access with pagination.
• Enterprise-grade focus
  Designed for PropTech, analytics, AI systems, and investment workflows.

Use cases

These use cases show how Property AI Agent (or any AI agent) can interpret a query, extract a key (project name, Makani Number, coordinates, community), call the right endpoint, and return a structured, geo-analytical answer.

Below are the use cases with direct links to the documentation:

1. Property analytics by development project title

   How to retrieve full geoanalytics for a specific development project.

   https://smartindexes.com/api/makani-search-api/#use-case-1

2. Transport accessibility for a development project

   Metro, public transport and road access around a building.

   https://smartindexes.com/api/makani-search-api/#use-case-2

3. Risk management summary for a master project

   Aggregated flood, crime and traffic risk indicators.

   https://smartindexes.com/api/makani-search-api/#use-case-3

4. Top 10 safest locations by flood risk

   Ranking Dubai master projects by flood exposure.

   https://smartindexes.com/api/makani-search-api/#use-case-4

5. Building entrance by Makani Number

   Locate the exact entrance point (Point + Polygon) of any registered building.

   https://smartindexes.com/api/makani-search-api/#use-case-5

6. Comparing development projects by title

   A/B/C comparison across geoanalytics and accessibility metrics.

   https://smartindexes.com/api/makani-search-api/#use-case-6

7. Land ownership type by Makani Number

   Freehold, leasehold, commonhold, usufruct, musataha — all ownership types.

   https://smartindexes.com/api/makani-search-api/#use-case-7

8. Retail malls near a building’s entrance

   Nearby retail infrastructure through spatial search.

   https://smartindexes.com/api/makani-search-api/#use-case-8

9. EV charging stations near a building

   EV charging availability within radius around a building entrance.

   https://smartindexes.com/api/makani-search-api/#use-case-9

10. Community summary (population and density)

    Population trends and density indicators for Dubai communities.

    https://smartindexes.com/api/makani-search-api/#use-case-10

These cases are designed for teams building:

• AI property advisors
• Real estate analytic dashboards
• Location intelligence systems
• Internal broker tools
• Smart city or urban planning assistants

They demonstrate how Makani Search API v.2 can be used as a trusted geoanalytics layer across Dubai’s building-level and community-level datasets.

Purpose and usage scenarios

Makani Search API is designed to solve the following problems in the field of real estate, logistics and urban analysis:

• Real estate search

  Instant output of precise coordinates and building contours by address or development project name (english or arabic).

• Geospatial analytics

  Assessment of transport accessibility, color segmentation on map and percentage risks and price indices for choosing optimal locations.

• Integration into PropTech segment applications

  Automation of generation of geoanalytical, logistic and other maps, AI assistants and agents (based on trainable neural networks), business analytical dashboards and smart recommendations for agents and investors.

• Logistics and delivery

  Retail delivery route planning taking into account building entry points and «last mile» analysis.

• Urban planning

  Merging data layers (construction sites, infrastructure, zones risk) in a single data-driven city model.

Integration with AI Agents and Data Orchestration

The Makani Search API can be integrated with AI agents to support neural network training and improve the accuracy of responses to user queries about buildings, real estate, surrounding infrastructure, and associated risks in Dubai.

The API delivers precise property geolocation via Makani Numbers, enabling AI systems to leverage structured data for dialogue generation, smart recommendations, and contextual analysis.

Combined with orchestration of spatial, statistical, and domain-specific datasets, this integration supports the development of advanced, AI-driven assistants and knowledge-based systems for the real estate sector.

Search of building by Makani Number on Dubai's map

Dubai’s geolocation search by Makani Number System

Almost every significant plot or building in the Emirate of Dubai is assigned a unique Makani Number to standardize geolocation, logistics, and unified urban big-data solutions.

As of July 28, 2025, there are 183 936 Makani Numbers in Dubai, according to DMGISNET Entrances (Dubai Land Department).

The Makani Search API by Smart Indexes provides the geocoordinates of all Dubai buildings.

Full map of the Emirate of Dubai, UAE, based on Makani Numbers’ coordinates

The complete map of Dubai consists of building polygons and their entry points tagged with Makani Numbers, enabling quick searches and detailed location focus.

For web developers available the Compliance Report - Makani Search API v.2 → ML Learning AI Agent

Detailed map of the Emirate of Dubai by the Smart Indexes team

For proptech experts, this map is invaluable for analyzing master-planned developments and communities, using analytical indices and risk metrics to make balanced investment decisions.

Buildings entrances on map of the Emirate of Dubai, UAE

Technical usage of Makani Index & Numbers

Makani Index is the core reference index that links together:

• Dubai Land Department (DLD) property data
• Parcel id (plot number)
• Master and development projects
• Building geometries
• Makani Numbers

Key technical value of the Makani Number addressing system is a binding unique identifier key for combining the common data for business analysis on geo, technical, transport, economic and other characteristics of the building. After Parcel ID, it is the next most important key in the Dubai Emirate GIS. Therefore, the data binding uses Makani Number as the primary binding key for the building data.

Pricing of Makani Search API

Thanks to the wide coverage of Makani Search API data, corporate users are provided with pricing on request according to selected tariffs and taking into account individual requirements.

Please visit page «Pricing of Smart Indexes APIs» to preview of economical plans.

Access to API

Available access to Makani Search API only for commercial use in applications.

The Makani Search API is an HTTP JSON API and allows you to programmatically access resources on the service, such as building summary, its entry points, transport accessibility. It accepts form-encoded request bodies (application/json), returns JSON, and uses standard HTTP verbs, response codes, and OAuth 2.0 authorization flows.

API version

Current version: v.2 (released February 25, 2026).

Direct and reverse geocoding

Direct geocoding allows you to obtain a Makani Number and the geometry of a building from a known address, place name, or geographic location.

Endpoint: POST /geocoding/direct/

Examples

                    {                    "makani_number": "2687069981",                    "locale": "en-US"                    }

                    {                    "type": "Feature",                    "properties": {                        "makani_number": "2687069981",                        "emirate_id": "2",                        "emirate_title": "Dubai",                        "sector_id": "6",                        "community_number": "665",                        "community_name_en": "WADI AL SAFA 7",                        "community_name_ar": "وادي الصفا 7",                        "parcel_id": "6653288",                        "property_id": "1065439036",                        "makani_address": "WADI AL SAFA 7 - 665",                        "building_name": "",                        "building_number": "PA4_069-265",                        "entrance_count": "1",                        "property_sub_type_en": "Villa",                        "parent_property_id": "1065439036",                        "master_project_id": "30",                        "master_project_en": "800 Villas",                        "master_project_ar": "800 فيلا",                        "project_id": "33434665",                        "project_name_en": "Serena Casa Dora",                        "project_name_ar": "سيرينا كاسا دورا",                        "entrance_points": "[[55.28397712,25.035548547],[55.28397712,25.035548547]]"                    },                    "geometry": {                        "type": "Polygon",                        "coordinates": [                        [                            [55.28381084,25.035588621],                            [55.283810838,25.035584435],                            [55.283815809,25.035584432],                            [55.283815788,25.035555145],                            [55.283807171,25.035555149],                            [55.283807142,25.035513784],                            [55.283888008,25.035513736],                            [55.283888015,25.035524605],                            [55.28394038,25.035524573],                            [55.283940408,25.035563523],                            [55.283932121,25.035563528],                            [55.283933002,25.03558917],                            [55.28381084,25.035588621]                        ]                        ]                    },                    "centroid": {                        "type": "Point",                        "coordinates": [55.283920804076,25.03557442719]                    },                    "entrance_point": {                        "type": "Point",                        "coordinates": [55.28397712,25.035548547]                    }                    }

Features of Makani Search API

By connection of Makani Search API for users are available next features.

FAQ

Contact us to register your app

To register your application and obtain API credentials or to book a short consultation reach us via Google Meet, WhatsApp, or email.

Also you can Register App using web form right now.

Email: support@smartindexes.com

Subject:

• Register App — Makani Searh API
• Consultation — Makani Searh API

Please include:

• Company / contact name and role.
• Use case (research, pricing, underwriting, portfolio, etc.)
• Data scope (Communities, Master Projects, Project Names; residential/commercial; subtypes).
• Actual analytics: transport accessibility, associated risks (Flood Risk, Average Crime Rate, Traffic Accident Rate), meter rent price, meter sales price, Cap Rate.
• Estimated monthly requests.
• Preferred plan (Starter / Pro / Enterprise) and desired start date.
• Whether redistribution/embedding rights are needed.

We’ll reply with next steps, pricing, and access instructions.