Comparable sold properties (comps) for a subject property

GET /api/properties/comps/

5 credits

What it returns

A ranked list of comparable sold properties within a search radius of the subject — each comp scored on similarity (size, beds/baths, year built, distance, condition delta) with the sale price and date. Powers AVM and ARV computations.

When to use it

Performance

This is a slow endpoint — use a 60-second client timeout and cache responses.

Pricing

5 credits.

FAQ

How are comps ranked?

By a weighted similarity score that favors smaller size/feature deltas and shorter geographic distance. Sold date recency is a strong negative weight on older sales.

Does it adjust for condition?

Yes — if both the subject and comp have AI-condition scores, prices are adjusted up/down for the condition delta.

Fallback parameters

You can pass user-supplied values for the attributes the comp model uses, as fallbacks: Homesage.ai data is always used when available; your value is used only when our record is missing that field — so verified data is never overridden. Supported fallbacks: total_size, bedrooms, bathrooms, property_type. Only total_size can unblock an otherwise-empty result; the others just refine comp matching. year_built is intentionally not a factor in the comp/ARV model.

Every response includes a field_sources object telling you where each value came from: homesage (our data), user_provided (your fallback), or unavailable.

Parameters

Responses

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