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What is Homesage.ai?

Homesage.ai is an AI-powered real estate intelligence platform that helps investors, realtors, lenders, and developers analyze over 140M+ U.S. properties with computer vision, predictive analytics, and real estate APIs. It’s built to surface hidden investment opportunities, automate property due diligence, and plug rich property data directly into your apps and workflows.

The platform focuses on U.S. residential properties and supports investors, realtors, lenders, and IT teams building proptech and fintech products. With tiered, credit-based pricing and a 30‑day free trial, it’s positioned as an enterprise-grade AI backend for investment search, risk scoring, and renovation planning.

Key Features of Homesage.ai

  • Full Property Report: Generate a comprehensive report for any property or listing, including AI-powered investment indicators and proprietary metrics for quick evaluation.
  • Property Condition Analysis: Uses computer vision on listing photos to classify condition from Excellent to Very Poor so you can spot flips, heavy rehabs, or turnkey homes at a glance.
  • Investment Potential & Price Flexibility: Scores each property’s investment potential (Good/High/Excellent) and provides a Price Flexibility Score that estimates room for negotiation.
  • Renovation, Flip & TLC Insights: APIs estimate renovation costs, renovation ROI, flip returns, and whether a property needs TLC, including recommended budgets and projected profit.
  • Long‑Term & Short‑Term Rental Estimates: Provides detailed long‑ and short‑term rental KPIs (daily/monthly/annual gross and net, IRR, cap rate, NOI, cash‑on‑cash, and cash flow) for income strategies.
  • Comps & Home Value Graph: Returns comparable sales (address, price, distance, size) plus a historical home value graph so you can benchmark price and understand value trends.
  • Property Info & Bulk Property Info: Get rich listing details (price, beds/baths, SF, DOM, features, history, schools, etc.) or run bulk queries over many properties for portfolio or lead lists.
  • Real Estate & Home Improvement APIs: Well-documented REST endpoints let developers integrate property data, renovation intelligence, rental models, and comps into CRMs, investor portals, and apps.

Use Cases of Homesage.ai

  • Real estate investors
    • Screen hundreds of deals by auto-pulling Full Property Reports, Investment Potential, and Price Flexibility Scores to prioritize the top opportunities.
    • Estimate flip and renovation returns before making offers, using Renovation Cost, Flip Return, and TLC signals.
  • Realtors and brokerages
    • Use condition and renovation intelligence to position listings, justify pricing, and advise buyers on potential upside.
    • Embed comps and value graphs into CMAs and marketing materials to build trust with clients.
  • Lenders and underwriters
    • Feed property condition, AVM-style value metrics, and rental estimates into risk models and loan decisioning systems.
    • Use bulk property info for pipeline screening and portfolio monitoring.
  • Proptech & fintech developers
    • Plug Homesage APIs into apps, dashboards, and CRMs to show live property scores, comps, and rental metrics without building data pipelines from scratch.
    • Build investor tools (deal finders, BRRRR calculators, flip analyzers) powered entirely by Homesage.ai’s DaaS backend.

Pricing Overview of Homesage.ai

Homesage.ai uses a premium, credit-based pricing model with no permanent free plan, but offers a 30‑day free trial with starter credits.

  • Small / Small Enterprise: from about $200–$350 per month; includes 1–10 users, 1,250+ credits, API dashboard, documentation, and email onboarding support.
  • Mid‑Market / Medium: around $500–$550 per month; adds more credits (about 5,000) suitable for growing teams and higher query volume.
  • Large / Enterprise: from about $750–$1,000 per month; designed for 100+ employees or enterprise workloads with up to 20,000 credits and full support.

Each API call (e.g., Full Property Report, Condition, Comps) costs a set number of credits, so you pay based on usage, not seats alone.

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