Methodology
How WECKETT forms its view.
Confirmed market activity first, structured interpretation second, commentary only where market structure exists.
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Data sources
WECKETT relies on confirmed market transaction data, including public sales records and verified reported comps where available.
The platform may also use contextual enrichment signals such as:
- Keyword relevance
- Category behavior
- TLD hierarchy
- Search and commercial indicators
These signals are secondary. Confirmed sales remain primary.
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What is included and excluded
Included
- Confirmed sales
- Public transaction history
- Category-level behavior
- Selective keyword and vertical clustering
Excluded
- Private transfers without support
- Zero-value transfers
- Unsupported anecdotal claims
- Automatic coverage of all strings
- Instant broad-spectrum junk-name appraisal
WECKETT is selective because signal matters more than volume.
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Coverage philosophy
WECKETT is not built to answer every query. It is built to produce stronger conclusions where market structure exists.
The platform focuses on names, categories, and verticals where:
- Real demand is observable
- Transaction behavior exists
- Hierarchy can be defended
- Reasoning can be explained
If a category is not currently covered, participants may request review through the evaluation page.
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How outputs should be interpreted
WECKETT outputs should be interpreted as structured estimates informed by:
- Historical transaction behavior
- Comparative positioning
- Category structure
- Editorial analysis
They are not guarantees, offers, or binding appraisals. WECKETT is a reference platform, not a substitute for judgment.
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Versioning and revision
Methodology evolves as coverage expands and new data is incorporated. Thresholds, filters, and property classes may be refined over time.
Any material revisions should be versioned and dated.