RealtyPad
AI-first deal research
Built for AI-assisted workflows from the ground up—research and score deals, project hold returns, match the right investors, and keep the evidence behind the opportunity on the record. Whether you’re on your first deal or your hundredth, you and your AI tools share one source of truth instead of a spreadsheet with chat pasted on.
The problem
RealtyPad stores every lead with the evidence that matters—tax, HOA, rent or ADR, ARV, financing assumptions—in a shape both people and AI assistants can use, so anyone on your side of the table can pick up where you left off.
Who it’s for
No minimum portfolio size and no enterprise gate. Use RealtyPad on your own, with a license, or across a brokerage desk—the workflow stays the same.
Buy-and-hold, STR, or learning wholesale—track leads and underwrite without a back office.
Research listings for investor clients, match deals to buyer criteria, and keep comps and rationale on the record.
One workspace per tenant: consistent scoring, triage, matching, and scenario runs across your people.
Portfolio-minded cashflow, contacts on deals, and market snapshots when you’re scaling past a spreadsheet.
How it works
Ingest listings, fill verified inputs, triage the queue, underwrite with durable scenarios and hold projections, then match investors—the same loop in the app or over MCP when your AI assistant is doing the legwork.
Pull market listings, normalize, and dedupe on source URL so re-sweeps stay clean.
Attach verified tax, insurance, HOA, rent or ADR/ARV—null beats fiction.
Clear needs-input, shortlist solid cashflow, and pass on thin spreads.
Run financing × strategy scenarios and project cashflow, equity, IRR, and exit proceeds across the hold.
Find investors whose criteria fit, then keep comps, appraisal history, documents, and rationale together on the deal.
From analysis to action
RealtyPad carries a deal past the first cashflow score. Forecast the hold for LTR and STR, test it against your investor book, and keep the evidence a buyer or client needs to understand the opportunity in one place.
01 / Projections
For rentals, model annual cashflow, property value, loan balance, equity, IRR, equity multiple, and net exit proceeds. Overlay market and appraisal/tax forecasts when history is deep enough—no invented growth rates.
02 / Investor matching
Scan buyer criteria against strategy, cash needed, financing, and target ROI from cashflow and principal—not assumed appreciation. Review exact matches and near-miss gaps, then link interested investors to the deal.
03 / Deal evidence
Keep listing files, sale, rent, and STR comps, appraisal and tax history, underwriting assumptions, projections, and rationale together on one deal so you can present the opportunity without rebuilding the binder.
Income strategies
Strategy is orthogonal to financing. Score LTR and STR for cashflow; flip and wholesale only when the spread is asymmetric.
Rent versus all-in carrying costs after vacancy, maintenance, tax, and insurance.
ADR and occupancy in, platform fees and higher insurance defaults applied.
ARV minus purchase, repairs, and hold carrying—pursue when profit clears the bar.
Assignment-style spread thesis with ARV and ask on the record—not legal advice.
AI-native
RealtyPad is designed for AI research: assistants connect over MCP to the same deals, scores, and scenario runs you see in the browser. Connect Cursor, Claude, or OpenAI—not your listing agent. Configuration is simple—paste the server URL, authorize once, and you’re set.
Cursor
Claude
OpenAI
MCP config
{
"mcpServers": {
"RealtyPad": {
"url": "https://app.realtypad.ai/mcp"
}
}
}RealtyPad
Open an AI-first workspace—solo or with your team—and let the next pass start from structured research, not a blank prompt.