Valuation Engine

Comp-adjusted NOI valuation for any US commercial asset.

Our engine pulls actual rent roll indicators from county records and CMBS servicer data, stacks three tiers of cap rate comps, applies tenant credit adjustments, and derives confidence intervals from the comp pool spread. Output in under 4 minutes.

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NOI waterfall chart and valuation model panel for a commercial property, displayed on a dark analytics dashboard interface

Rent roll sourcing

We pull actual rent roll indicators from county recorder office data supplemented with CMBS servicer remittance reports (available for all CMBS-encumbered properties via public EDGAR filings). This gives us unit-level occupancy and effective gross income without relying on broker-supplied rent rolls.

Cap rate comp stacking

Three-tier comp hierarchy ensures defensible output even in thin markets: (1) same-submarket transactions within 24 months, (2) metro-wide comps by asset class, (3) national comps as a backstop. Each tier weighted by recency and similarity score.

Confidence interval derivation

The interquartile spread of the final comp pool is translated into a ±X% confidence bound around the point estimate. A tighter comp pool — more same-submarket transactions — produces a narrower interval. Analysts see exactly how much uncertainty underlies the number.

Three ways to consume valuation output

PDF valuation memo for investment committee presentation. JSON API response for integration into your own model or CRM. Excel export with the full comp table and NOI build.

PDF Memo

Formatted for committee

JSON API

REST endpoint

Excel

Full comp table

Argus

Portfolio tier only

GET /v1/valuation/12-3456-789-0100 — response

{
  "property_id": "12-3456-789-0100",
  "property_type": "multifamily",
  "address": "801 Brickell Key Dr, Miami FL",

  "estimated_value": 18750000,
  "confidence_interval_low": 17340000,
  "confidence_interval_high": 20210000,

  "noi_estimate": 1125000,
  "cap_rate_used": 0.0600,
  "cap_rate_range": [0.0555, 0.0648],
  "comps_used_count": 14,
  "comp_tier": "same-submarket",

  "tenant_credit_adj": -0.022,
  "generated_at": "2026-06-14T09:17:43Z"
}

~92%

Comp match rate on a tested deal set

We compared our valuation output against 200 manually-appraised commercial assets and measured absolute value deviation. The ~92% figure represents deals where our point estimate fell within the range established by a USPAP-compliant appraisal on the same asset. We are not outputting a black-box AVM score — every output is a fully documented NOI build with a named comp pool and a derivable confidence interval. Full methodology on the Methodology page.

Run your first valuation.

Request access to the Valuation Engine and test it on a property in your current deal pipeline.

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