Real Estate Comp Report Agent

An AI agent that pulls property listings, tax records, and permit data via Firecrawl to generate comparable sales reports for real estate agents in under 30 seconds.

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01 THE IDEA

Real estate agents and brokers spend hours manually pulling comparable sales (comps) from multiple sources — MLS, county tax records, permit databases, and listing sites — to prepare reports for clients and transactions. An AI agent built on Firecrawl can automate this by pulling listings and public records, then generating a formatted comp report in 30 seconds rather than 2 hours.

At $300/month per agent and millions of licensed agents in the US, even a small market share represents significant ARR. The product is highly automatable after the initial data pipeline is built. The main challenge is scraping accuracy across fragmented data sources (county records vary significantly by jurisdiction) and MLS access restrictions.

02 THE NUMBERS

EXPECTED ARR

$36K – $480K

INITIAL INVESTMENT

$3K + 80h

MONTHLY BURN

$500 + 20h

AUTOMATION

7/10

COMPETITORS

17 · SATURATED →

SKILLS

real estate domain knowledge, web scraping, LLM integration, B2B sales, data pipeline engineering

03 THE VERDICT

Strong pain point and large addressable market, but the space has established players and MLS data access is a real legal/technical hurdle. Best pursued by someone with existing real estate agent relationships for early sales. The 30-second comp generation is a compelling hook — if it works reliably, retention will be high.

ALREADY BUILT — BY THE COMMUNITY

I BUILT THIS →

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04 THE FIELD

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