Atlas identifies what's missing in its own dataset every night and fills it automatically. Developers integrate once. The data improves forever.
// Query distress signals — Manhattan
const response = await fetch(
'https://api.redplanetdata.com/v1/signals' +
'?county=manhattan&type=cmbs_distress',
{ headers: {
'Authorization': 'Bearer rp_live_...'
}}
)
const { data, meta } = await response.json()
// 847 signals returned
// Dataset updated 3 hours ago
// Millions of new records added last night
Every other real estate data platform was built once and maintained manually. Atlas runs a different process every night — it analyzes its own database, identifies what's missing, builds the pipeline to fill the gap, and executes it before morning. Millions of new verified records added nightly. Not because someone scheduled it. Because the system knows what it needs.
One integration. Six data categories. Millions of records updated nightly.
Property records, ownership, assessed value, building details, and sale history.
Individual and entity ownership lookup, mailing address, portfolio holdings.
Distress signals — foreclosure, tax liens, probate, CMBS watchlist.
CMBS debt intelligence, maturing loans, DSCR, watchlist status.
SBA originator data, volume, yield profile, balance sheet signals.
Office conversion candidates, zoning eligibility, permit history, distress scores.
What developers are building with Atlas.
A lender platform that automatically surfaces distressed CRE borrowers before they default — using CMBS watchlist data, DSCR signals, and maturity calendars.
A deal sourcing tool that identifies motivated sellers before properties hit the market — combining ownership signals, tax delinquency, and probate data.
A conversion scoring platform that ranks every office building in a target market for residential conversion viability — updated automatically every night.
Atlas isn't a database with an API in front of it. It's an autonomous data engine. Every night it runs gap analysis across its entire schema, generates pipelines for missing data, executes them, validates the results, and heals anything that broke. By the time you make your first API call of the day, the data is already more complete than it was yesterday.
Ship real estate features in hours, not months.