What's going on around this address?

A map needs two calls: the stats for the header, and the cells. The deals list draws the neighbourhood view. All of them take the same geometry and the same filters, so their numbers always agree. The geometry can also be a ZIP that a loaded market carries. Send zip=<zip> in place of the point and radius on each call. Keep lat and lng beside it as the reference point for distances.

1. The header stats

curl "https://api.investorlift.com/v1/deals/summary?lat=33.476917&lng=-111.920385&radius_miles=2" \
  -H "Authorization: Bearer $GM_API_KEY"

const params = new URLSearchParams({ lat: "33.476917", lng: "-111.920385", radius_miles: "2" });
const res = await fetch(`https://api.investorlift.com/v1/deals/summary?${params}`, {
  headers: { Authorization: `Bearer ${process.env.GM_API_KEY}` },
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const body = await res.json();

import os

import requests

r = requests.get(
    "https://api.investorlift.com/v1/deals/summary",
    params={"lat": 33.476917, "lng": -111.920385, "radius_miles": 2},
    headers={"Authorization": f"Bearer {os.environ['GM_API_KEY']}"},
    timeout=30,
)
r.raise_for_status()
body = r.json()

{
  "data": {
    "n_deals": 10980,
    "by_kind": { "flip": 1582, "wholesale": 570, "hold": 6321, "long_hold": 1717, "other": 657, "build": 133 },
    "n_investors": 5833, "n_parcels": 8596, "n_unpriced": 1969, "n_undated": 27,
    "median_bought_price": 295000, "median_sold_price": 405000, "total_volume": 10840233470,
    "median_hold_days": 353, "median_gross_profit": 108000,
    "by_year": [{ "year": 2026, "n": 288, "flip": 14, "wholesale": 27, "hold": 241, "long_hold": 0, "other": 6, "build": 0 }],
    "by_scale": [{ "scale": "large", "n": 1126 }, { "scale": null, "n": 282 }],
    "by_investor_kind": [{ "kind": "LANDLORD", "n": 9817 }, { "kind": null, "n": 282 }]
  }
}

array

Each sums to n_deals. by_year goes by purchase year, with undated deals in a year: null row at the end.

array

Does not sum to n_deals: a deal counts under every kind its investor carries. The null rows in both are buyers with no investor id.

2. The cells

curl "https://api.investorlift.com/v1/deals/cells?lat=33.476917&lng=-111.920385&radius_miles=20&res=8" \
  -H "Authorization: Bearer $GM_API_KEY"

const params = new URLSearchParams({ lat: "33.476917", lng: "-111.920385", radius_miles: "20", res: "8" });
const res = await fetch(`https://api.investorlift.com/v1/deals/cells?${params}`, {
  headers: { Authorization: `Bearer ${process.env.GM_API_KEY}` },
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const body = await res.json();

import os

import requests

r = requests.get(
    "https://api.investorlift.com/v1/deals/cells",
    params={"lat": 33.476917, "lng": -111.920385, "radius_miles": 20, "res": "8"},
    headers={"Authorization": f"Bearer {os.environ['GM_API_KEY']}"},
    timeout=30,
)
r.raise_for_status()
body = r.json()

Counts per hexagon, to draw as a heat layer. res=8 suits a city or county view, and res=7 suits a whole metro. At neighbourhood zoom, the list below, sorted by distance, is the layer: every row carries the parcel’s coordinates.

Then the drill-down

When the user clicks a row, get the card with its id:

curl "https://api.investorlift.com/v1/deals/deal_07d65b04d1c2f156e2b7137e91b6db31" \
  -H "Authorization: Bearer $GM_API_KEY"

const res = await fetch("https://api.investorlift.com/v1/deals/deal_07d65b04d1c2f156e2b7137e91b6db31", {
  headers: { Authorization: `Bearer ${process.env.GM_API_KEY}` },
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const body = await res.json();

import os

import requests

r = requests.get(
    "https://api.investorlift.com/v1/deals/deal_07d65b04d1c2f156e2b7137e91b6db31",
    headers={"Authorization": f"Bearer {os.environ['GM_API_KEY']}"},
    timeout=30,
)
r.raise_for_status()
body = r.json()

For the table under the map, page the list:

curl "https://api.investorlift.com/v1/deals?lat=33.476917&lng=-111.920385&radius_miles=2&sort=distance&limit=100" \
  -H "Authorization: Bearer $GM_API_KEY"

const params = new URLSearchParams({
  lat: "33.476917",
  lng: "-111.920385",
  radius_miles: "2",
  sort: "distance",
  limit: "100",
});
const res = await fetch(`https://api.investorlift.com/v1/deals?${params}`, {
  headers: { Authorization: `Bearer ${process.env.GM_API_KEY}` },
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const body = await res.json();

import os

import requests

r = requests.get(
    "https://api.investorlift.com/v1/deals",
    params={
        "lat": 33.476917,
        "lng": -111.920385,
        "radius_miles": 2,
        "sort": "distance",
        "limit": 100,
    },
    headers={"Authorization": f"Bearer {os.environ['GM_API_KEY']}"},
    timeout=30,
)
r.raise_for_status()
body = r.json()

Then follow page.next_cursor. See Pagination.

Start here

Coverage

Keys and plans

Core concepts

Walkthroughs

Terms and policies

1. The header stats

2. The cells

Then the drill-down

​1. The header stats

​2. The cells

​Then the drill-down

1. The header stats

2. The cells

Then the drill-down