# Find expansion targets for a franchise network

> **Casafari is the AI agent-native real estate data intelligence platform.** The most complete property index in Europe: a deduplicated, cleaned property graph of residential and commercial property, for sale and for rent, in 16 countries. Every property is one record with its full price and market history. [How the property graph is built](/docs/property-graph).

Find the places where a franchise network has no office but the market is active, and the growing independent agencies there it could recruit.

## Ask your assistant

> Where in Portugal does Example Network have no office but plenty of homes on the market? In those towns, which independent agencies with at least 20 homes grew their new homes more than 10% last quarter?

Who it is for: Franchise networks and their expansion teams; CRM vendors looking for agencies to win.

## Steps

1. [`agencygraph_network`](/docs/agencygraph/network): The network's offices, their main towns and the network's totals.

   ```json
   {
     "country": "PT",
     "brand": "Example Network"
   }
   ```

2. [`agencygraph_country_coverage`](/docs/agencygraph/country_coverage): The country's 25 towns with the most agencies: the candidates, less the towns where the network already has offices.

   ```json
   {
     "country": "PT"
   }
   ```

3. [`agencygraph_screen_agencies`](/docs/agencygraph/screen_agencies): Independent agencies with at least 20 homes in those towns, each with its measures and growth; keep the ones whose new homes grew more than 10% on the quarter before (growth.new_change_pct.previous_quarter).

   ```json
   {
     "country": "PT",
     "location_ids": [
       401,
       402
     ],
     "independent": true,
     "min_properties": 20
   }
   ```

4. [`agencygraph_territory`](/docs/agencygraph/territory): Where a candidate works, its share and rank in each town.

   ```json
   {
     "country": "PT",
     "agency_id": "agc_EXAMPLENORTE00000000000000"
   }
   ```

5. [`area-insights_get_time_series_data`](/docs/area-insights/get_time_series_data): Price and supply trend of each candidate town (Area Insights), to put the strongest markets first.

## What you get

Illustrative example: made-up agencies, ids and figures, not real data.

| Town | Agencies | Network's offices | Candidate | Candidate's properties | New homes (q/q) |
|---|---|---|---|---|---|
| Sample Municipality A | 120 | 0 | Sample Imobiliária Norte | 48 | +18% |
| Sample Municipality B | 95 | 0 | Example Casas do Vale | 31 | +12% |

## Notes

AgencyGraph names firms, never individual agents. To find agents for partnerships in Germany, use AgentGraph AI, a separate product.

What it costs: `agencygraph_network` 75 tokens per page of up to 25 rows; `agencygraph_country_coverage` 5 tokens per call; `agencygraph_screen_agencies` 100 tokens per page of up to 25 rows; `agencygraph_territory` 50 tokens per page of up to 25 rows; the other products' tools at their own prices ([Pricing](/pricing)).