Know if a home is worth the next step
Paste a listing before you call the agent or book a tour. Diligent combines your preferences with trusted property data, then reasons through lot quality, equity potential, comps, risk, and ownership costs so you know what to ask and whether to lean in.
Why Diligent is different
Not another listing search. A pre-tour intelligence layer.
The value is not replacing inspections, disclosures, or a serious diligence process. It is the step before that: collecting the right signals, applying your preferences, and helping you decide whether this home deserves your time.
Source-first research
Diligent starts by collecting signals from listing pages, public records, hazard maps, school data, market comps, taxes, and ownership-cost inputs.
Preference-aware analysis
Your budget, risk tolerance, commute, school needs, renovation appetite, and deal breakers shape every recommendation.
Reasoning you can inspect
The report explains why a home looks attractive, risky, overpriced, or worth pursuing instead of giving you a generic score.
Next-step outputs
Comp ranges, monthly carry, agent questions, and tour priorities are organized so you can decide whether to lean in or move on.
Risk before regret
Flood, fire, insurance, lot constraints, and condition concerns are surfaced early while you still have leverage.
Built for any US market
Use an address or listing link anywhere in the United States. The analysis adapts to the local data available.
How it works
Sourced and personalized, not guessed
Every insight combines verified public data with preferences you'd describe to a buyer's agent, not a dropdown filter. The analysis engine reasons across both. Nothing is generated from model memory.
Your preferences
Anything you'd say to a buyer's agent, not a Zillow filter
Budget ceilings, risk thresholds, timeline constraints, ADU needs, school grade levels, commute routes. Expressed naturally, not as checkboxes.
Trusted data sources
and more public records & licensed APIs
Diligent analysis engine
No hallucination. Every output is source-backed.
The model reasons over real API results and public records. It cannot invent data it was not given.
What lands in your report
Each item shows which source the number came from.
Your preferences
Anything you'd say to a buyer's agent, not a Zillow filter
Budget ceilings, risk thresholds, timeline constraints, ADU needs, school grade levels, commute routes. Expressed naturally, not as checkboxes.
Trusted data sources
and more public records & licensed APIs
Diligent analysis engine
No hallucination. Every output is source-backed.
The model reasons over real API results and public records. It cannot invent data it was not given.
What lands in your report
Each item shows which source the number came from.
Pre-tour brief
3 bed home near your preferred schools
Price read
$715K-$735K
Comp-supported
Monthly carry
$4.9K
Includes tax and insurance
Equity view
Moderate
Upside tied to repairs
AI verdict
The home fits your school and commute priorities, but the lot and maintenance signals mean it is worth touring only with specific questions.
Lot note
Rear slope and drainage clues deserve inspection attention before you waive contingencies.
Next question to ask
Can the seller provide roof age, insurance quotes, permits, and drainage work records?
Analysis modules
The pieces buyers usually research by hand
Lot analysis
Usability, slope, setbacks, privacy, expansion clues
Equity analysis
Monthly carry, appreciation assumptions, downside risk
Comp analysis
Similar sales, pricing pressure, early offer context
Lifestyle fit
Schools, commute, walkability, and your tradeoffs
Preference-weighted next step
A promising listing is not enough if the home violates your budget, risk, or lifestyle constraints.
Found a listing that seems interesting?
Paste the address or listing link and get a preference-aware buyer brief with lot, equity, comp, risk, cost, and next-step analysis.