# Investor negotiation ranking by price erosion

> **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).

**For Property investors and deal sourcers.** List High Potential Seller Leads around a target point, rank them by price_cuts.percentage and read each lead's dated history before bidding.

> How do I rank homes in a micro-location by how much their price has eroded before I make an offer?

## Why rank by price erosion?

Investors want to bid first on homes with the most price erosion in a target micro-location, because repeated cuts show an owner adjusting expectations. In Italy the average discount negotiated off the asking price was 7.6% in the first half of 2025 and reached 10.4% for investment purchases, according to [Wall Street Italia](https://www.wallstreetitalia.com/quanto-e-il-ribasso-nelle-compravendite-immobiliari/); knowing which homes have already cut shows where the room may be.

## How does it work step by step?

1. **Target.** Choose the point and a radius of 50 to 300 metres in Spain, France, Italy, Germany, Greece or Andorra.
2. **List.** `GET /v1/seller-leads` with `lat`, `lon`, `radius_m`, `types`, `price_min`, `price_max`, `operation=sale` and `min_price_cuts=1`; leads come 100 per page.
3. **Rank in your code.** Sort by `price_cuts.percentage`, then by `price_cuts.count` and `price_cuts_since`.
4. **Verify.** `GET /v1/seller-leads/{lead_id}` returns the property and its dated price and status history, so you can see earlier asking prices, each cut and the time between them.
5. **Value.** Compare the price per sqm from [Property Sourcing](https://developers.casafari.com/docs/property-sourcing) with [Comparables and valuation](https://developers.casafari.com/docs/comparables-valuation) before deciding the offer.

```bash
curl "https://platform.casafari.com/v1/seller-leads?lat=45.4642&lon=9.1900&radius_m=300&operation=sale&price_min=200000&price_max=600000&min_price_cuts=1" \
  -H "Authorization: Bearer $CASAFARI_API_KEY"
```

## What do you get?

A ranked list of homes with the largest cumulative cuts, each tied to one deduplicated property record with coordinates, plus the dated history to support the offer.

## What are the limits?

The list signals homes likely to sell; it does not guarantee a discount. The documented filters include no sort order, so ranking happens in your code. A page costs 100 units and a lead detail 10. For Portugal and other countries not covered by Seller Leads, use Property Sourcing with `expand=history`. Reference: [List seller leads](https://developers.casafari.com/docs/rest/seller-leads/list-seller-leads) and [Get a seller lead](https://developers.casafari.com/docs/rest/seller-leads/get-a-seller-lead).

## Related use cases

- [Street-level mandate prospecting list](https://developers.casafari.com/docs/seller-leads/use-cases/street-level-mandate-prospecting-list)
- [Weekly newly-motivated homes alert for an office](https://developers.casafari.com/docs/seller-leads/use-cases/weekly-newly-motivated-homes-alert)
- [Pricing-conversation evidence pack for a valuation meeting](https://developers.casafari.com/docs/seller-leads/use-cases/pricing-conversation-evidence-pack)
- [Rent-cut radar for letting agents and landlords](https://developers.casafari.com/docs/seller-leads/use-cases/rent-cut-radar-for-letting-agents-and-landlords)
- [High Potential Seller Leads FAQ](https://developers.casafari.com/docs/seller-leads/faq)