Pricing integrity, informed by 20,625 aftermarket sale records.
Dr. James Beckett did the obvious, radical thing: he published the numbers — comps, a confidence band, the same page for the dealer and the twelve-year-old. We copied him, name and all. The W is just where we stand in line behind him.
Weckett is independent and is not affiliated with, endorsed by, or sponsored by Beckett Media or Dr. James Beckett.
Some names aren't written to be read — they're written to be felt for. Punycode, IDN, the glyphs that render one way to a browser and another to a person: web braille. A whole alphabet the pricing tools skip because they can't see it. We price it anyway.
The market reveals hierarchy through transactions, not theory.
Compiled aftermarket sale records — prices and integrity are the ingredients. Automated domain-pricing estimates from 20,625 compiled sale records, published confidence bands, and market logic that holds up in a negotiation.
Registrar said $2,141. The market said $140,000. See the gap before you price.
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TALK PARTNERSHIPSAutomated appraisal tools dominate the industry. They produce instant numbers based on keyword metrics, character counts, and historical averages. The output feels precise. Precision is not accuracy.
Golf.ai sells for $140,000. Registrar valued it at $2,141. That is a 65× gap. Chat.com sells for $15.5M against a $3M ceiling estimate.
That is not an edge case. Point estimates without comps or confidence can diverge sharply from realized sale prices.
WECKETT is an independent pricing reference for serious participants in digital real estate. Not a commodity tool. Built selective, by design.
Model estimates built on 20,625 compiled aftermarket sale records. Every price includes a confidence band, not just a point estimate. The model is transparent — methodology, training data, and limitations are published.
Original research on pricing trends, market structure, and the reasoning behind how domains are priced — published openly, with methodology and limitations in view.
Structured evaluation process. Published methodology. Transparent limitations. Every estimate is defensible — not because the number is perfect, but because the reasoning is visible.
| Domain | Tool | Automated Est. | Actual Sale | Gap |
|---|---|---|---|---|
| Qwen.ai | Humbleworth | $67 | $500,000 | 7,463× |
| Bet.bet | Estibot | $1,400 | $600,000 | 429× |
| Qwen.ai | Estibot | $1,200 | $500,000 | 417× |
| Bot.ai | Humbleworth | $3,655 | $1,200,000 | 328× |
| Chat.com | Estibot | $2,500,000 | $15,500,000 | 6.2× |
Source: Compiled aftermarket sale records vs. Estibot & Humbleworth automated appraisal tools.
On a blind test of 200 random mid-market sales ($500–$50K), WPS v5.2, 68% of actual sale prices fell within the model's confidence band. This is confidence-band coverage on that test sample, not point accuracy.
Training data sourced from compiled aftermarket sale records across 23 years (2004–2026). 50+ feature attributes. RandomForest V5.2 architecture. Cross-validated across 5 folds on the expanded 4.75× training set. 1.6MM pre-scored names in the WPS lookup.
We publish what the model cannot do. Strategic acquisitions, narrative-driven pricing, and private sales are explicitly excluded from scope. Honesty is the product.
"Many platforms optimize for immediate output. WECKETT optimizes for structured reasoning."
Marquee sales, accuracy metrics, price guide, and derivative appraisals — updated with each model refresh.
| Asset Type | Example | Realized | Automated | Gap | Why the Tool Fails |
|---|---|---|---|---|---|
| Interface-defining brand | Chat.com (2023) | $15.5M | $1.0M – $3.0M | 5× – 15× | No strategic optionality model. "Chat" as keyword ≠ "chat" as primary AI interface. |
| Category-defining generic | Gold.com $8.5M · Connect.com $10M | $8.5M – $10M | $500K – $2.0M | 3× – 10× | Cannot model index-constituent behavior or decade-long holding thesis. |
| AI semantic anchor | AI.com $70M · You.ai $700K | $700K – $70M | $500K – $5.0M | 2× – 14× | Narrative velocity: appraisals lag adoption 12–36 months. |
| .ai TLD — single word brand | Lotus.ai $400K · Speed.ai $165K · Amber.ai $115K | $100K – $400K | $500 – $5,000 | 20× – 800× | Blanket TLD discounts on .ai lagged where the market moved. |
| AI interface primitive | Stack.ai $258K · Sound.ai $250K | $125K – $259K | $100K – $400K | 2× – 12× | Interface-value not modeled. Sound.ai was private — never in training data. |
| Sport / lifestyle + .ai | Golf.ai $140K (2024) | $140,000 | $500 – $2,000 | 70× – 280× | Sport + TLD premium — a combination automated point estimates often miss. |
| Domain | Venue | Transaction Date | Actual Sale | Weckett Price | Deviation | In Range |
|---|
A structured deliverable built to support a real pricing decision.
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Automated domain-pricing estimates from 20,625 compiled sale records. A data-backed range you can defend in a real negotiation.
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