Model history
Domain Value Score model revision history
Every valuation is stamped with the model version that produced it — shown on each report as “Model dv-X”. This page records what each version changed. Scores keep the version they were computed under and are never re-valued, so older results stay comparable to when they were run. The full method behind the current version is on the Methodology page.
Model dv-5.3.0
Real-word recognition, broadened. The dictionary behind name reading grew from a small hand-curated starter list to a generated frequency dictionary of tens of thousands of real English and Spanish words (built from published word-frequency corpora and gated to genuine words). So a closed-up multi-word name like “domainvaluescore” is now correctly read as domain + value + score, and far more real-word names earn the brandability and demand credit their meaning deserves — while coined and gibberish names still score low. The detailed report now LISTS the recognized dictionary words (e.g. “domain, value, score”) rather than only counting them — premium commercial keywords shown in bold, each word tagged by where it sits in the name (start / middle / end), with a short legend so the breakdown is self-explanatory. No factor weights, curves, or band thresholds changed.
Model dv-5.2.0
Product-name detection and clearer reporting. Well-known product marks (iPad, MacBook, PlayStation, Photoshop, and similar) are now recognized like famous brands: a name that embeds one is reported as carrying that product trademark and capped the same way a brand match is, so a name such as “AppleiPad” reports both the Apple brand and the iPad product. The keyword evidence now lists every matched term by where it sits in the name — prefix, middle, or suffix — including keywords that fall between two others in a compound, capped at five (a name that segments into more than five words is flagged as unusually long). Report language for trademark findings and score-cap reasons is now matter-of-fact — it states which trademark or product a name matches, rather than describing resale or seizure consequences. No factor weights, curves, or band thresholds changed.
Model dv-5.1.0
Market-trend refresh. The premium-keyword list and the industry map gained 26 durable, researched 2024–2026 terms — AI-era (agent, compute, runtime, tensor, vector, schema, embed), matured fintech and crypto (token, wallet, vault, ledger, treasury, yield, escrow, custody), climate (carbon, climate), health (genome, longevity, peptide), security (sentinel, passkey, verify), and commerce/creator (merchant, checkout, creator). So a name in a category the market now prizes — an AI “agent” name, a “wallet,” a “carbon” name — scores for that demand and is placed in the right industry, the way buyers value it today. The update is baked in at a versioned checkpoint so the score stays reproducible, rather than tracking live search trends; no weights, curves, caps, or evidence collection changed.
Model dv-5.0.0
Name character + market context. The fundamentals now report three explicit, separately-weighted scores — brandability (does it sound like a real company), pronounceability (easy to say aloud), and memorability (easy to recall and spell) — instead of one blended "brandability" reading. Liquidity adds the size of the industry the name points to (kept in a versioned table), so a name in a larger market reads as more liquid. A new name-continuity panel reports who owns the name and for how long, its historic web presence and Internet Archive depth, and present-day DNS, email, and SSL health — shown alongside the score but, like registration status and momentum, never folded into it, so the number stays reproducible. The detailed report now shows the count of recognized dictionary words, the full list of premium-keyword matches, and exactly which sibling extensions are registered, and the industry/continuity tables are version-stamped on every score.
Model dv-4.0.0
Sharper name reading. Length now drives the fundamentals once instead of being counted three times, so quality, liquidity, and scarcity each measure something distinct. A dictionary recognizes real words inside a name — including across supported languages — so a genuine word like "voice" or a two-word name like "localmax" scores for its meaning, while unpronounceable, meaningless strings score far lower. Trademark and abuse risk can now only lower a score, never pad a meaningless one, and names on spam-dominated extensions (kept current automatically) are marked down and capped. A name that is not a word, not a sought-after term, and registered nowhere else is held to the bottom band. Premium results also show a separate, timestamped market-momentum read that is reported alongside the score but never changes it, so the score stays reproducible.
Model dv-3.0.0
Major reframe: the score now measures the intrinsic value of the NAME (length, brandability, keywords, extension, liquidity, trademark risk) independent of who owns it — so it is equally useful to owners, investors evaluating available names, and buyers eyeing names others own. Registration status (available / registered / parked-for-sale / developed) is detected and reported as an overlay; registration age and archive history now only ADD value for a registered name and never penalize an available one, while the live page is reported as context but no longer adds to the score. A name positively known to be available is no longer capped for lacking registration history.
Model dv-2.4.0 — 2026-06-15
Core-provenance cap: when neither a registration date (RDAP) nor archive history (Internet Archive) can be verified, confidence is floored and the score is capped below Premium, so name scarcity alone can no longer certify a high score. Also stamps a real scan timestamp on every result and binds score reproducibility to the recorded inputs.
Model dv-2.3.1 — 2026-06-12
Reachability marking fix: a name whose origin cannot be contacted (edge 520–530 responses) is now correctly reported as not reachable instead of a reachable HTTP-error page. The live-site value was already zero in both cases — only the reported status was wrong.
Model dv-2.3.0 — 2026-06-12
Quality-gated the short-name premium: a short label only earns the full "scarce name" value if it is actually pronounceable. Unpronounceable, vowel-less gibberish (e.g. random consonant strings) now scores far lower on fundamentals, so a made-up name on a weak extension no longer reads as mid-tier.
Model dv-2.2.0 — 2026-06-12
Added a confidence score and value caps, exact-trademark and typo-squat handling, keyword precision fixes, sales comparables, and optional keyed premium signals (domain authority, search volume, and live trademark lookups).
Model dv-2.1.0 — 2026-06-12
Switched to public-suffix parsing so the registrable name (eTLD+1) is valued, added live-site value tiers and keyword-precision fixes, and began showing the reasons behind any value cap on free results.
Model dv-2.0.0 — 2026-06-12
Rebuilt on an investor-framed five-category model — fundamentals, market demand, liquidity, risk, and scarcity & provenance — blending in live Internet Archive history and cross-TLD registration data.
Model dv-1.0.0 — 2026-06-11
First public valuation model, launched with DomainValueScore.com: a 0–1000 estimate of a domain name’s market appeal from its observable characteristics.