About W.A.L.D.O.™

The unified data layer for commercial real estate.

W.A.L.D.O.™ — Workforce Analysis & Location Demand Oracle — aggregates authoritative employment, demographic, and supply data into CCIM-grade demand insights for every CRE property type.

Our mission

Commercial real estate runs on data scattered across half a dozen federal APIs, each with its own geography conventions, refresh cadences, and rate limits. The work of pulling, normalizing, and analyzing that data falls on analysts who should be answering business questions, not reconciling FIPS codes.

W.A.L.D.O.™ closes that gap. We aggregate the sources, run the analysis, and expose the results through a dashboard, a REST API, outbound webhooks, and an MCP server — so the data flows wherever your team already works.

What we aggregate

Authoritative sources, one schema

Every analysis cites its inputs. Every input is fetched fresh from a public, authoritative source — never a black-box index.

Bureau of Labor Statistics (BLS)

County and MSA employment, wages, and unemployment — the foundation of the demand model.

Quarterly Census of Employment and Wages (QCEW)

Detailed employment by NAICS sector at 2- and 3-digit levels. Powers location quotient and shift-share decomposition.

U.S. Census Bureau (ACS)

Demographics, housing characteristics, income, and population at ZIP, county, and MSA level.

Census Building Permits

Residential and commercial permit counts and values — the backbone of the supply pipeline.

Federal Reserve Economic Data (FRED)

National and regional macro indicators — GDP, interest rates, unemployment, housing starts, inflation.

WARN Database

Worker Adjustment and Retraining Notification filings. Surfaces employment disruptions before they hit BLS.

What we produce

Six analyses, every property type

Multifamily, retail, office, industrial, hospitality, self-storage. Same methodology, every market.

Market Identification

Geocoding, FIPS validation, MSA / county / custom geography determination.

Economic Base Analysis

Location quotients, basic / non-basic split, economic base multiplier.

Market Metrics

Demographics, housing, and historical economic trends in one snapshot.

Shift-Share Decomposition

Regional employment change broken into national growth, industry mix, and regional shift effects (CCIM CI 102).

Supply Analysis

Permit-driven construction pipeline plus AI research and manual entry modes for proposed and under-construction projects.

Results & Reporting

Executive summary, recommendations, source attribution, and data-quality scoring.

Three access channels

Use it however your team works

Same data, three doors. The dashboard for analysts, the API for engineers, MCP for AI agents.

Dashboard

Point-and-click analysis with PDF, Excel, and PowerPoint exports.

Sign in

REST API + Webhooks

Programmatic read and write access at /v1/*, with HMAC-signed outbound webhooks.

Read API docs

MCP Server

Connect Claude Desktop, claude.ai, Cursor, or ChatGPT and let the model call WALDO directly.

Set up MCP
Methodology

CCIM-grade analysis, automated

W.A.L.D.O.™'s core analyses — location quotients, economic base multipliers, shift-share decomposition — are the same techniques taught in CCIM CI 102. The work that takes a CCIM candidate days of spreadsheet labor runs in minutes here, with full source attribution and transparent assumptions on every result.

We apply standardized property-type-specific demand methodologies for multifamily, retail, office, industrial, hospitality, and self-storage. Every projection cites its inputs and shows its work.

Trust & accuracy

  • Fresh on every run. Economic base, market metrics, and supply analyses re-fetch from the upstream APIs — no stale cached layers between you and the federal data.
  • Source attribution on every metric. Reports cite the agency, dataset, vintage, and geography level for every number we put in front of a stakeholder.
  • Auditable API calls. Every API response carries an X-Request-ID that maps to a per-key audit log entry. When something looks wrong, the support team can pull the exact call.
  • Transparent methodology. Every demand calculation shows its inputs and assumptions. Reports include the data quality score so consumers know how confident the underlying signal is.

Start where it makes sense for you.

Run an analysis in the dashboard, read the API docs, or pick a plan. The platform is one product — three doors.