Real-estate listings joined to the rest of your territory analysis — not in a separate Excel file
Continuous commercial real-estate listings (CoStar, LoopNet, Crexi, Reonomy, ATTOM, CoreLogic) ingested per territory and joined to the same analysis already scoring competitors, demographics, and foot traffic.
The problem
You run 60 units and are evaluating 200 candidate territories for expansion. For each one you need real-estate inventory — what is available, at what price, with what zoning, with what visibility, with what accessibility. The listing platforms (LoopNet at $3,000+ per month, CoStar Suite at $15,000 to $100,000+, Crexi at $79 to $999 per month, Reonomy at $5,000 to $50,000+, CommercialEdge, RealMassive, OfficeFinder, NavigatorCRE, Catylist, Buildout) each have their own search UI and their own paywalls. The APIs (CoStar API premium, LoopNet limited public, Crexi limited public, Reonomy API, Datafiniti, ATTOM Data, CoreLogic, RealtyMole) each have their own pricing model. The site-selection platforms (Buxton, Tango, SiteZeus, ESRI, CARTO, Targomo, Placer.ai) bundle listings as part of a site-selection study but do not push listings into your ongoing territory analysis. Your broker network is on a 2-to-6% lease commission and a quarterly cadence. Your acquisitions team currently runs a spreadsheet that an analyst updates by hand every Monday. Past 50 candidate sites it stops working.
What success looks like
Every candidate territory pulls live commercial real-estate listings continuously — CoStar, LoopNet, Crexi, Reonomy, ATTOM, CoreLogic, RealtyMole, Datafiniti — and joins the listings to the same territory analysis already scoring competitor density, cannibalization risk against your existing units, demographics, foot traffic, and franchise-system performance. When a new site lists, the territory view updates. When a price changes, the change is captured with a timestamp. Multi-banner operators see listings across every banner with consistent semantics. Compliance-sensitive constraints (zoning where HIPAA applies, FDA medical-device requirements, ADA accessibility) are applied automatically. Every listing observation and every price change is preserved so an FDD examiner or a lease auditor can ask how a site was sourced and at what terms — and get a clean answer.
How most operators solve this today
Five categories of tools touch commercial real-estate data. None of them push live listings into the territory analysis your acquisitions team already runs.
Commercial real-estate listing platforms (LoopNet, CoStar Suite, Crexi, Reonomy, CommercialEdge, RealMassive, OfficeFinder, NavigatorCRE, Catylist, Buildout)
$79 per month to $100,000+ per year, plus per-listing transaction fees
Each one is its own portal. The listings do not flow into your territory analysis.
Commercial real-estate APIs (CoStar API, LoopNet API, Crexi API, Reonomy API, Datafiniti, ATTOM Data, CoreLogic, RealtyMole)
$1,000 to $50,000+ per month, plus per-API call pricing
Per-vendor pricing and per-vendor data shapes. Integration is your problem.
Site-selection platforms (Buxton, Tango, SiteZeus, ESRI Business Analyst, CARTO, Targomo, Placer.ai)
$10,000 to $150,000+ per year
Listings show up as part of a one-off site-selection engagement, not as a continuous feed into the rest of your analysis.
Broker network (tenant rep and commercial broker)
2 to 6% of lease value, plus quarterly market reports
Quarterly cadence. The right site for the right unit can list and rent before the broker's next update.
Build it in-house
Manual LoopNet exports plus Excel, hours per week per analyst
Falls apart past 50 candidate sites.
What changes when this is an agent skill
Every candidate territory pulls live commercial real-estate listings continuously — CoStar, LoopNet, Crexi, Reonomy, ATTOM, CoreLogic, RealtyMole, Datafiniti. The listings join the same territory analysis already scoring competitor density, cannibalization risk against your existing units, demographics, foot traffic, and franchise-system performance — so when a 6,000-square-foot retail space lists in a market your scoring already ranked as a top-10 candidate, you see the match immediately and the price history alongside it. When a new site lists, the territory view updates. When a price changes, the change is captured with a timestamp. Multi-banner operators see listings across every banner with consistent semantics, so the urgent-care brand and the fitness brand can both evaluate the same market without two separate workflows. Zoning constraints (HIPAA-relevant where applicable), FDA medical-device requirements, and ADA accessibility are applied automatically. Every listing observation and every price change is preserved with the timestamp, the source, and the territory — so an FDD examiner or a lease auditor can ask how a site was sourced and at what terms and get a clean answer. CoStar, LoopNet, and Crexi remain a reasonable choice as the underlying inventory source. Buxton and Tango remain useful for one-off site-selection studies. The broker network remains valuable for negotiation. This is the ingestion layer that ties listings to the rest of your territory work.
Agents that include this skill
Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.
Territory Analysis + Market Scoring Agent
Franchise-developer decisioning surface — per-market buy/skip/probe scoring with demographics, foot-traffic, real-estate, and FDD territorial-protection gating.
FAQ
- Why ingest listings instead of just searching LoopNet when we need a site?
- Because the right site usually lists before your team thinks to look. When listings flow continuously into the territory analysis already ranking candidate markets, you see the match in a top-ranked market the moment it lists — and you see the price history.
- How is this different from LoopNet, CoStar, or Crexi directly?
- Those are the underlying inventory. The listings show up on their portals. None of them push the listings into the analysis your acquisitions team actually runs. This handles that ingestion and the joins.
- How is this different from the CoStar API, LoopNet API, or Reonomy API?
- Those are powerful but each one has its own pricing and its own data shape. Integration is your problem. This handles every supported source with a consistent data shape.
- How is this different from Buxton, Tango, or Placer.ai?
- Those are excellent for one-off site-selection studies. Listings show up as part of the study. They do not flow continuously into your ongoing territory work.
- Which sources are supported?
- CoStar API, LoopNet API, Crexi API, Reonomy API, ATTOM Data, CoreLogic, RealtyMole, Datafiniti. Broker-network feeds can also be ingested where the broker is willing to share inventory programmatically.
- How does it join to the rest of the territory analysis?
- A listing in a candidate territory is shown alongside that territory's competitor density, cannibalization risk against your existing units, demographics, foot traffic, and franchise-system performance — so the listing is read in context, not in isolation.
- Does it work for multi-banner operators?
- Yes. The urgent-care brand and the fitness brand can both evaluate the same market without two separate workflows. Each banner sees the listings in the context of its own scoring.
- Can an FDD examiner or lease auditor ask how a site was sourced?
- Yes. Every listing observation and every price change is preserved with the timestamp, the source, and the territory. The audit trail is the answer.