Know the name.
Know the move.
A free domain appraisal that separates what a name is worth to an investor, to an end user and to the one buyer who needs it — then tells you whether to hold, build, flip or drop.
Find the signal.
Range-based pricing, not a magic number. See the model and the evidence separately.
Value a domain ↗ 02 / TRIAGESee the whole portfolio.
Thousands of names become renewal reviews, development candidates and research queues.
Analyze in bulk ↗ 03 / TAKE ACTIONLeave with a plan.
Export an editable audit or liquidation shortlist. Your decisions stay yours.
Explore investor tools ↗Stop debating names.
Put them side by side.
Compare up to five domains on score, price, build potential, liquidity, buyer depth and pricing strategy.
Upload the portfolio.
Find where the value hides.
Paste domains or import a registrar CSV. DomainWorth can triage up to 25,000 names while preserving cost, renewal, expiration, registrar, auto-renew and status metadata when available.
Sell or liquidate domains? Export Afternic, Sedo & Atom CSVs →
Use real comps.
Or show nothing.
Explore a small set of 2026 transactions reported by DNJournal, with publication links, venues and reported amounts. Selection is not representative. Import additional sales you are authorized to use.
Know what the model
is trying to tell you.
Short practical guides on appraisal ranges, liquidity, pricing, comps and portfolio renewals.
Separate quality,
evidence and price.
DomainWorth deliberately keeps three questions distinct: Is the name good? What can current evidence verify? And is the acquisition price disciplined enough to leave room for error?
Intrinsic quality
A 48,000-word vocabulary, short-pattern pricing, commercial verticals and geo detection feed nine sub-scores: extension, naming power, commercial intent, clarity, scarcity, build potential, liquidity and buyer depth.
Live evidence
Registration history, DNS, web presence, cross-extension pressure and optional licensed search data.
Deal underwriting
Acquisition price plus carrying costs compared against modeled investor and retail exits. No fake probability assumptions.
Portfolio context
Cost basis, renewal exposure, concentration, score distribution, TLD mix and action tags across the portfolio.
The goal is not to forecast the exact buyer or sale date. It is to recognize quality, avoid overpaying, and allocate capital toward names with the strongest combination of intrinsic value and commercial utility.