PermitBase for building permits. CommuteBase for commuter flows. EconBase for employment & wages. Buy them individually — or unlock PlaceMetrics, the intelligence engine that cross-references all three into housing gaps, rent projections, and market scores.
Each module is a standalone API backed by primary federal data. PlaceMetrics connects them into cross-referenced intelligence.
44 years of building permits. Place-level SF/MF differentiation. 780K rows, 1980–2026.
Origin-destination commuter flows. 50 states, 2002–2022. Place-level aggregation from Census block data.
Employment by NAICS sector. Location quotients, wage premiums, concentration risk. County-level.
All three modules plus the cross-referenced analytics that make them greater than the sum of their parts. Housing gap models, rent projections, commuter trip reduction, supply gap scoring — computed from 16 federal datasets in one API call.
Pre-computed analytics that cross-reference multiple federal datasets. One API call returns a complete market picture with full source attribution.
Complete 33-row market profile. Housing gaps, pipeline credit, rent projections, commuter models, economic concentration, LQ analysis, and composite scoring — one call.
Weighted composite scoring across 5 demand signals. Four named profiles (investor, entitlement, policy, workforce) or custom weights.
Two complementary models: employment-driven (jobs/HH ratio) and renter demand (MF supply deficit vs MSA average). Dynamic pipeline credit adjusts for permits in delivery.
FMR CAGR extrapolation with 9-year, 3-year, and 2-year windows. Income-based ceiling at 28% burden ratio. Headroom calculation.
LODES-derived model: how many daily commuter trips would N new housing units eliminate? Based on actual origin-destination import rates.
NAICS 2-digit sector analysis. Employment specialization, wage premiums vs national average, concentration risk via BLS suppression index.
# One call. Complete market intelligence. curl "https://api.permitbase.org/v1/intelligence/city-report\ ?state_fips=05&place_fips=41720&profile=investor&units=500" \ -H "X-API-Key: pb_live_your_key" # Returns 33 rows: profile, housing gaps, pipeline credit, # rent projections, commuter model, economic concentration, # LQ sectors, wage premiums, and supply gap score. # Every row includes source attribution and data year.
ATTOM, CoreLogic, and CoStar sell property records. We sell market intelligence — the macro context that makes property decisions make sense. Different product, different price point.
Every data point traceable to Census, BLS, BEA, FHFA, HUD, CFPB, or IRS. No web scraping. No proprietary models without source disclosure. Peer-citable in academic research.
Anyone can download Census files. Nobody else has compiled 16 datasets into cross-referenced, place-level intelligence with 44 years of history. The convenience IS the product.
MCP server for Claude. LangChain toolkit on PyPI. OpenAI GPT Action manifest. Your AI agents can query place-level economic data in natural language.
Every modeled number carries method, inputs, data year, and confidence qualifier. Users never mistake a projection for an actual. The Phase 7 engine is transparent by design.
ATTOM starts at $500+/month. CoStar requires enterprise contracts. PermitBase starts at $19/month for academics, $49 for developers. Full API access, no sales calls.
Start with the data you need. Upgrade to the full intelligence engine when you're ready.
Annual plans save 20%. All tiers include full documentation and support.
44-year panel datasets with federal source attribution. Every data point citable. Build on LODES, ACS, BPS, QCEW without the data engineering.
MCP server + LangChain toolkit + REST API. Build AI agents that answer "where should I build?" with sourced federal data.
Permits as leading indicators. Location quotients for sector exposure. Supply gap scores for REIT and homebuilder coverage.
Housing gap models, commuter trip reduction estimates, rent projections with income ceilings. Evidence for zoning decisions.