Homesage.ai AVM (current estimated value) for a property

GET /api/properties/current-estimate/

2 credits

What it returns

The current Homesage.ai AVM (Automated Valuation Model) estimate for a US residential property — a single point estimate: the current estimated value (current_value), returned inside an Estimates object. Sourced from Homesage.ai's first-party AVM service.

When to use it

• Set a listing price for a property about to go on the market.
• Cross-check against a third-party AVM.
• Trigger an alert when AVM moves beyond a threshold.

Pricing

2 credits per successful call. 404/401/402 cost 0 credits.

FAQ

Why does the AVM disagree with other estimates?

Different models, different training data, different feature weights. Homesage.ai emphasizes recent comparable sales + condition signals; other estimates may emphasize a broader market-trend model. Neither is right or wrong — they answer slightly different questions.

How fresh is the estimate?

Recomputed when the underlying property record refreshes (cache TTL ~24h).

Parameters

• property_address (query, required) — Full address. Example: 4411 E Hidden Oak St Springfield MO 65802.

Responses

• 200
• 400 — Bad request — a required parameter is missing or failed validation. Costs 0 credits.
• 401 — Authentication failed — missing or invalid API key. Costs 0 credits.
• 402 — Payment required — no active subscription or insufficient credit balance. Costs 0 credits.
• 404 — Not found — the address could not be confidently matched to a single property. The body includes a did_you_mean array of suggested addresses (each with an mpr_id) to show the user and retry with; an empty array means no close match. Costs 0 credits.
• 503 — Upstream data provider is temporarily unavailable — retry with backoff.

More in Property Valuation

• Price Flexibility Score — how much room a listing has to negotiate — GET /api/properties/pfs/
  A Price Flexibility Score (PFS) for an active or recently-sold property — an estimate of how much price-negotiation room a listing has, derived from days-on-market, price-change history, comparable activity, and seasonal demand.
• Composite investor-grade investment-potential score — GET /api/properties/investment_potential/
  An Investment Potential score plus the component sub-scores it's built from (price relative to comps, cash-flow potential, appreciation trajectory, neighborhood risk).
• Projected return after renovating a property — GET /api/properties/renovation_return/
  Projected return analysis assuming a standard renovation is performed: pre-renovation AVM, projected post-renovation ARV (After Repair Value), renovation cost estimate (see renovation-cost for a breakdown), and net return + ROI percent.
• End-to-end fix-and-flip return projection — GET /api/properties/flip_return/
  A fix-and-flip return summary for the property — four numbers:
• Historical AVM trajectory for a property — GET /api/properties/home_value_graph/
  A time-series of monthly AVM estimates for a property over the last 5 years.
• Does this property need TLC (fixer-upper indicator)? — GET /api/properties/tlc/
  A boolean / confidence-scored flag indicating whether the property is likely a fixer-upper — i.
• Long-term (12-month-lease) rental projection — GET /api/properties/rental/long_term/
  Projected long-term rental income — monthly rent band, vacancy assumption, gross operating income, net operating income after standard expense ratios, and capitalization rate vs.
• Short-term (Airbnb-style) rental projection — GET /api/properties/rental/short_term/
  Projected short-term rental performance — nightly rate band, expected occupancy, monthly gross income, net of typical expense ratios.
• Total renovation cost estimate (top-level) — GET /api/properties/renovation/cost/
  An aggregate estimated renovation cost for a property, plus the sqft basis and the per-sqft cost-of-construction model used.