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Methodology
The aim is simple: show where public prediction-market attention and Albis news-attention signals appear to overlap or diverge. It is an editorial research tool, not a betting product.
The page requests open, unauthenticated listings from Polymarket and Kalshi. It normalises only broad public fields where available: title, venue, price, volume, liquidity, short-term movement, category, close time, and public URL.
If those public endpoints fail, the page uses clearly labelled local sample data so the product can still be viewed without implying that live market data was loaded.
The comparison layer uses the same public scan snapshot that powers Albis growth tools. It builds a set of “mispriced attention” candidates: stories with signs of significance, perception gap, or uneven regional coverage.
Market titles are matched to Albis stories using conservative text overlap. A match is a nearby context signal, not proof that the market and story are the same event.
The market signal gives weight to available public indicators: volume, liquidity, price, and recent movement. The Albis signal comes from coverage-gap and perception-gap strength. The gap signal rises when market attention appears stronger than current Albis coverage context.
The final attention score is bounded between 0 and 100. It is deliberately labelled as an attention score, not a probability, confidence estimate, forecast, or expected return.