Building Your First Deal Stack: 6 Data Sources Operators Actually Use
Building Your First Deal Stack: 6 Data Sources Operators Actually Use
TL;DR
✦ "Use Zillow" is a screening shortcut, not an underwriting strategy. ✦ Operators stack 6 specific data sources — each fills a gap the others miss. ✦ Free tier covers most beginners. Paid tier (~$60/mo) covers serious volume. ✦ Vricko consolidates 4 of the 6 into a single workflow.
The 6 sources
1. MLS data (real comps)
What it gives: sold comps, current listings, days on market, price changes, listing photos, broker remarks.
How to access:
- Free trial path: sign up for a 14-30 day MLS trial via a brokerage in your target market. Most regional MLS systems have free guest searches with limited history.
- Paid path: Realtor.com Pro, Zillow Premier Agent (if you have a license), or RealtyTrac ($35-$60/mo).
- Best path: licensed agent. Get your license, pay your dues, get full access. ~$1,200 first year, free thereafter.
Why it matters: MLS is the only place where sold-comp data is verified, fully detailed, and current. Algorithms (Zestimate, Redfin) source from MLS but lose detail. The operator's edge: looking at 4-5 actual comps with full photos, days on market, price reductions, and broker remarks — not the algorithm's averaged output.
2. County assessor portal (free)
What it gives: assessed value, current tax bill, ownership history, liens, lot size, building permits.
How to access: Google "[county] property appraiser" or "[county] tax assessor." Every US county has a free public portal.
Why it matters: The post-sale tax reset bill comes from here. The owner's purchase history (and basis) tells you how motivated they may be. Permit history shows you what's been done legally vs. unpermitted.
Free. No excuse to skip this.
3. Insurance binding-quote workflow
What it gives: real, lender-spec insurance cost for your specific address.
How to access:
- Local independent broker (best — they shop multiple carriers in 2-4 hours)
- Direct portals: Lemonade, Hippo, Kin (instant but limited coverage)
- Some banks (Wells Fargo, Chase) integrate insurance quotes into mortgage workflows
Why it matters: insurance quotes vary 30-100% from listing line items in 2026, especially in FL/CA/TX coastal. The binding quote is the only number that reflects your real cost.
Cost: free (broker is paid by insurer).
4. Local rent comp tools
What it gives: current rent ranges by zip, property type, bed count.
How to access:
- Free: Zillow Rent Estimate, Rentometer (3 free searches/day), local craigslist + Facebook marketplace scans
- Paid: RentRange ($30-$50/mo), Stessa rent reports (~$25/mo)
- Operator-grade: local Section 8 office (HUD Fair Market Rent data — free)
Why it matters: the listing's rent number is rarely the achievable rent. Local data tells you the truth. Median miss between listing rent and achievable rent in our audit: 8-14%.
5. Lender data (DSCR + conventional rates)
What it gives: real interest rates, LTV limits, reserve requirements, current product availability.
How to access:
- DSCR lender list: Visio, Kiavi, RCN Capital, Lima One, Lima Capital, Civic, RoamFi
- Conventional: any major bank, credit union, or mortgage broker
- Direct: each DSCR lender publishes rate sheets weekly
Why it matters: your underwriting is built on a rate assumption. If your spreadsheet uses a 6.8% rate and the actual market is 7.4%, your model is wrong by ~$200/mo on a $300K loan.
Cost: free for rate quotes. Application fees apply at funding.
6. Vricko Underwriter (or equivalent platform)
What it gives: consolidated underwriting workflow that pulls comps, assessor data, rent estimates, insurance benchmarks, and rate feeds into a single output.
How to access: vricko.app — iOS, free tier available.
Why it matters: the 5 data sources above each take 5-15 minutes per deal. Stacking them manually means 30-60 minutes per underwriting. A platform compresses that to 60-120 seconds. That time delta is the difference between underwriting 3 deals a week and 30.
How they stack
The operator workflow on a new deal:
-
Address goes into Vricko (Source 6). Auto-pulls comps (Source 1), assessor data (Source 2), rent comps (Source 4), and rate feed (Source 5). Insurance benchmark (Source 3) is flagged.
-
Operator reviews and adjusts. Local market knowledge informs minor edits — does this Class C deserve the algorithm's adjustment, or is it a hidden Class B?
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Insurance binding quote requested in parallel. Broker gets the address, sends back a quote within 4 hours.
-
Final underwrite refreshed with binding insurance. DSCR, CoC, cap rate, stress test, kill criteria — all from the consolidated stack.
Total operator time: 15-30 minutes per deal, dominated by the insurance quote round-trip and final review.
Hobbyist time on the same deal: 2-3 hours, with 2-3 errors typical.
The minimum free stack (for beginners)
If you can't pay for tools yet:
- MLS: 14-day brokerage trial.
- Assessor: free, always.
- Insurance quote: local broker, free.
- Rent: Rentometer free tier + craigslist scan.
- Rates: DSCR lender public rate sheets.
- Vricko: free tier covers 5 deals/month.
Total cost: $0. Time per deal: 30-60 minutes manually, or 5-10 minutes with Vricko.
The paid serious stack (for active investors)
For investors doing 5+ deals per week:
- MLS: licensed agent ($1,200/yr).
- Assessor: still free.
- Insurance: dedicated broker on retainer or relationship.
- Rent: RentRange ($40/mo).
- Rates: lender relationships + weekly rate sheet emails.
- Vricko: Pro tier ($25/mo).
Total ongoing: ~$165/month + agent dues. Time per deal: 5-10 minutes.
Run this in Vricko
Vricko consolidates 4 of the 6 data sources (MLS-grade comps, assessor data, rent estimates, rate feeds) into a single underwriting workflow. The other two (insurance, lender relationships) live outside any single platform — and we connect to them.
What you don't need
A few "must-have" tools that aren't:
- PropStream / DealMachine: lead generation tools, useful for prospecting but not underwriting.
- REISift: CRM for leads, not for underwriting.
- BiggerPockets calculators: free, decent for first 1-2 deals, but no live data integration.
These have valid uses. They're not part of the underwriting stack.
Keep reading
- Why Your 5-Spreadsheet Underwriting Model Is the Bug
- From 6 Tabs to 1 Input Field
- The 60-Second Deal Screen
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Reading about deals doesn't close them.
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