Describe your ideal customer in plain English and let our real estate lead builder turn it into a targeted skip trace lead list with owner names, phones, emails, and property metadata, delivered in minutes. Backed by a live 150M+ U.S. property database and carrier-grade owner skip tracing.
$0.10 per record delivered. No subscription. No minimums. See the exact cost before you run a single list.
U.S. Properties
Preset Strategies
Filter Fields
Per Record Delivered
Pricing disclosed, no hidden fees, you see exactly what each list will cost before you run it
Download sample CSV, see the exact columns you get before you sign up
Three steps from idea to downloadable CSV. No spreadsheets. No manual filter hunting. No second-guessing which criteria to use.
Type what you want in plain English, "absentee landlords in Dallas with 50%+ equity built before 1985", or pick a preset strategy like Tired Landlord or Pre-Foreclosure.
TraceAI translates your description into a structured property query across 100+ fields and shows you an exact preview count before you commit any credits.
Every matching property is skip traced on demand and delivered as a CSV with owner details where available, mailing address, per-phone DNC and TCPA flags, and property metadata, ready for your dialer or CRM.
A 150M+ property database, full owner skip tracing, and 24 battle-tested investor strategies in one workflow
Full nationwide coverage. Every single-family home, multi-family, condo, and vacant lot in the United States is queryable by address, owner, equity, year built, assessed value, and dozens more fields.
Every record has columns for the owner's primary phone with type, carrier, DNC flag, and TCPA flag, plus up to three additional mobiles and two landlines, each with its own DNC and TCPA booleans, three emails, and a record-level contact_clean column. Contact fields populate where skip trace returns a match.
Start from a proven filter: High Equity Absentee, Pre-Foreclosure, Probate, Tired Landlord, Cash Buyer, Vacant Homes, Zombie Properties, Tax Delinquent, Vacant Land, Failed Listings, Free & Clear, REO / Bank-Owned, Auction, Judgment / Lien, Owner Deceased, Active Flipper, and more.
Target by one or more ZIP codes, entire counties, an entire state, or a specific city. Stack geography with 100+ property filters for surgical precision, and watch matching properties render live on the map as you refine.
Equity percent, equity dollars, year built, square footage, bedroom count, ownership type, owner-occupied, corporate owner, out-of-state owner, distress signals, pre-foreclosure and active foreclosure status, tax delinquency and tax liens, quit-claim deed transfers, MLS listing outcomes, area household income, inherited / probate, and dozens more.
Download your list as CSV, pull it via API, or receive a webhook notification when your list completes. Integrate Lead Builder directly into your CRM, dialer, or lead management workflow.
From solo wholesalers to 50-seat call centers, Lead Builder powers outbound prospecting across the real estate ecosystem
Build vacant property leads, absentee owner leads, and pre-foreclosure lists in minutes. Stack filters to find the exact off-market opportunities you want, distressed, high equity, long-term owners, and get the phones you need to reach them.
Target distressed property owners with pre-foreclosure leads, probate / inherited filters, and tired landlord leads. Every record is skip traced so your cold-call and direct-mail campaigns go out the door the same day you build the list.
Prospect recent homeowners, expired listings, long-term owners likely to list, and by-neighborhood farming lists. Lead Builder gives you the same property intel as the big franchise tools at a fraction of the cost.
Roofers, solar, HVAC, and remodelers use Lead Builder to target owner-occupied, high-equity single-family homes in specific ZIPs. Filter by roof age proxies, year built, and owner tenure to find the best candidates for your offer.
Build targeted mailing lists for direct mail campaigns. Filter by equity, property type, ownership tenure, and geography to reach the right homeowners with relevant offers.
Don't want to build a filter from scratch? Start from a proven preset and customize from there
Every preset is a starting point, edit any filter, add or remove fields, or layer in your own geography. The AI will explain what each change does before you run the list.
Lead Builder uses the same credit balance as skip tracing and DNC scrubbing. No new account, no subscription, no minimum spend.
Flat, transparent pricing, $0.10 per record in the delivered CSV. No subscription. No minimum. No setup fee. You see the exact max cost before you run a single list.
per delivered record ($0.10)
No subscriptions to cancel, no caps to hit, no data that expires. Just pay for what you use.
Search, preview, and build as many lists as you want. No monthly caps, no throttled access, no tier upgrades needed.
Every list you build is stored permanently. Re-download any CSV, browse rows in your dashboard, or pull them via API, anytime, no expiration.
No monthly subscription. No annual contract. Credits never expire. If you don't run a list for three months, you pay nothing for three months.
DNC, TCPA litigator, and carrier data on every individual phone number, not just a single flag per person. Helps you screen numbers before outreach. Compliance is your responsibility, these flags are informational, not legal advice.
Each list is built to your exact filters when you run it, your criteria, your geography, your volume. No generic one-size-fits-all files.
REST API access is included for every account, not locked behind a premium plan. Build integrations, automate workflows, or use the web UI. Same price either way.
Every record in your CSV includes property data, full owner info, and all available contact fields
| Column | Description |
|---|---|
address, city, state, zip_code | Property location |
county, apn, subdivision | Parcel + neighborhood detail |
owner_1_first_name / owner_1_last_name | Primary owner of record |
owner_2_first_name / owner_2_last_name | Secondary owner when present |
mail_address, mail_city, mail_state, mail_zip | Owner's mailing address |
primary_phone + _type, _carrier, _dnc, _tcpa | Best-rank phone with compliance flags |
mobile_1..3 + _dnc, _tcpa | Up to 3 mobiles, each with DNC and TCPA booleans |
landline_1..2 + _dnc, _tcpa | Up to 2 landlines, each with DNC and TCPA booleans |
email_1..3 | Up to 3 email addresses |
has_contact, contact_clean | Record-level flags, dial-safe in one column |
estimated_value, estimated_equity, equity_percent, assessed_value | Value, equity, and tax assessment |
area_median_income | Area household income around the property |
open_mortgage_balance, lender_name, estimated_mortgage_payment | Mortgage details |
prior_sale_price, prior_sale_date, document_type, quit_claim, recording_date | Sale history and deed info, including quit-claim transfers |
total_properties_owned, total_portfolio_value, cash_buyer, corporate_owned | Portfolio and investor signals |
year_built, beds, baths, building_size_sqft, lot_size_sqft | Property fundamentals |
has_pool, has_garage, has_basement, has_deck, has_ac, flood_zone | Building features and flood risk |
roof_material, roof_construction | Roof type (e.g. "Composition Shingle", "Gable") |
absentee_owner, vacant, pre_foreclosure, high_equity, free_clear | Strategy flags for quick segmentation |
foreclosure, tax_delinquent, tax_delinquent_year, tax_lien | Active foreclosure and tax-distress signals with the delinquency year |
mls_sold, mls_failed, mls_days_on_market, mls_listing_price | MLS listing history and outcome |
contact_clean Row Flag, a single boolean that's true only when at least one phone exists AND no number on the row is flagged DNC or TCPAcontact_clean gets you to a dial-safe list in one filter. For even deeper compliance, State DNC and DMA cross-checks, run the phones through DNC Scrubbing before loading into a dialer.
Learn more about property intelligence — what data categories Lead Builder covers and how Tracerfy compares to subscription incumbents.
Every delivered row carries 5 propensity scores plus an explainable factors array. Sort, filter, or weight your outreach by which leads are most likely to convert for your business.
How likely the owner is to sell. Driven by distress signals (active foreclosure and auction, tax-delinquency duration, liens, judgments), failed or cancelled listings, equity, length of ownership, ARM mortgage signals, quit-claim transfers, absentee status.
Used by: Wholesalers, real estate investors, "we buy houses" cash buyers
sell_propensity_score
How likely the owner is to refinance. Driven by high equity, ARM loans, years owned, loan type, current mortgage balance.
Used by: Mortgage brokers, refinance lenders, loan officers
refi_propensity_score
How likely the home needs a roof. Driven by year built, roof material and design, structure age, owner equity, and area household income (ability to fund the project).
Used by: Roofing contractors, insurance assessors
roof_renovate_propensity_score
How likely the home needs HVAC work. Driven by year built, home size, regional cooling demand, owner equity, and area household income.
Used by: HVAC contractors, home service businesses
hvac_renovate_propensity_score
How likely the home is a solar candidate. Driven by home value, state solar market strength, equity, area household income, roof-era construction, and energy-demand signals like pools.
Used by: Solar installers, energy companies
solar_renovate_propensity_score
Each score ships with a *_factors array — the exact signals that fired and how much each contributed. No black-box ML, no "trust us." See why a lead scored the way it did so you can defend prioritization decisions to your team and explain rankings to your customers.
// Example: a single row's sell propensity breakdown { "sell_propensity_score": 73, "sell_propensity_category": "High", "sell_propensity_factors": [ { "name": "tax_delinquent", "points": 18, "reason": "Tax delinquent since 2022 — 4 years unpaid, tax-sale risk" }, { "name": "mls_cancelled", "points": 15, "reason": "Listing cancelled or failed to sell — seller likely still motivated" }, { "name": "years_owned", "points": 12, "reason": "Owned 21 years — long tenure, high equity accumulation" }, { "name": "vacant", "points": 10, "reason": "Vacant property — carrying costs motivate sale" }, { "name": "absentee_owner", "points": 8, "reason": "Absentee owner — less attached to property" }, { "name": "adjustable_rate", "points": 6, "reason": "Adjustable-rate mortgage — payment pressure when the rate resets" }, { "name": "quit_claim_deed", "points": 4, "reason": "Quit-claim deed on record — family/estate transfer, weak attachment" } ] }
Use scores to sort outreach lists by likelihood, filter to "High" category, or weight your CRM scoring model. Every factor is reproducible and auditable.
Everything you need to know about AI real estate lead generation with Tracerfy
has_contact flag; and a record-level contact_clean flag that's true only when at least one phone exists AND no phone on the record is flagged DNC or TCPA. You can filter contact_clean=true in Excel to get a dial-safe subset in one click.
*_factors array showing exactly which signals fired and the reasoning behind each. No black-box ML, no hidden weights — you can audit, defend, and explain every ranking to your team or your end customers. Scores are also paired with a *_category label (Low / Medium / High) for quick visual sorting in spreadsheets and dashboards.
Describe your ideal customer, preview the exact count, and download a skip-traced CSV with full owner contact info. $0.10 per delivered lead. No subscription. No minimums.
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