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Yegii
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Score Predictor
Yegii's proprietary algorithms can predict the quality of any URL, with special focus on books, reports or articles.
What is the Yegii
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Score?
The Yegii () score is a credibility measure for web content on a 100 point scale. The more reliable the content, the higher the score.

What type of content does Yegii score?
The score is unique to specific content (a book, an article, an event or an expert) and not entire web domains/websites.
Who does the scoring?
Yegii is a man-machine based rating system. Our algorithms predict the score and our subject matter experts and editors validate them using powerful analytics.
How is the score calculated?
The Yegii Index is based on four components: publisher (30%), content (30%), author (30%), and yegii editor ratings (10%). Each of these components is assessed on multiple criteria.
Yegii Score
Score a URL now
Similarity :
Publishers with a lot of similar publishers receive a medium high score (making the assumption they are mainstream). Publishers with few similar publishers receive a lower score (assuming they are out of the mainstream). Publishers that are relatively unique get a very high score.
Collaboration :
We assume that collaborative work is typically of higher quality because of the number of eyeballs reduces errors and provides a filter. Scores from 1-4, scores are normalized to 100 (4+ authors), 75 (3 authors), 50 (2 authors and 25 (1 author).
Error Rate :
Measures the degree of errors in the average text on a publishers' website. The indicator is based on the After The Deadline test, a web service for checking the spelling and style of English text. Scores vary between 1 and 100, with 100 being no errors found in the document.
Information Quality :
Checks how many non-missing attributes a particular document or the average text on a publishers' website.
Research Depth :
Measures how research intensive the process of producing the document has been, using various proxies. Right now, this indicator checks how many keywords like "Report", "Survey" etc. or their synonyms are present in a document.
Recency :
Measures how recently, or with what frequency, the main documents on the publisher's website are updated. The current score is calculated as follows: Recency = 365/(Current date-Publication date).
Objectivity :
Measures sentiment objectivity. Polarity is scored using a script derived from TextBlob, the python library. We score 100 for the most objective and 1 as the least objective text.
Polarity :
Measures whether the text has a polarizing tone, also called sentiment polarity (positive, neutral, and negative). Polarity is scored using a script derived from TextBlob, the python library. Top score (100) is given for less polarizing texts.
Length :
Measures the word length of the average text on a publishers' website. Given Yegii's focus on quality, and contrary to many search engines, for us, longer texts receive a higher score.
Readability :
Measures the lucidity of text, i.e. how understandable the average text on a publishers' website is. The score is based on the Flesch-Kincaid readability test ('Kincaid test'), a widely used measure for readability. For most business writing, a score of 65 is a good target, and scores between 60 and 80 should generally be understood by 12 to 15 year olds.
Traffic rank :
Measures the traffic rank of a publisher's website compared with the rest of Yegii's publishers based on a set of readily available web metrics.
Y Startup Impact
Technology :
Measures degree of deep tech focus based on (a) key words present on the startup’s webpage, tech background of the leadership (such as a CTO with a PhD, etc.), and (c) top tier technical university affiliation (MIT, Caltech, Cambridge, etc.).
Team :
Measures team quality by (a) C-levels with PhDs, (b) top tier university affiliation (Harvard, Stanford, Oxford, Imperial College, INSEAD, MIT, etc.), (c) investor quality (as a proxy for the startup team’s support network).
Product/Market fit :
Measures (a) client traction by the number of clients or trials featured on the startup’s website or as indicated by a reputable startup database, or the startup’s own submitted info or pitch deck, and (b) customer attrition rate (with higher scores for demonstrated client retention).
Momentum :
Measures (a) social score (mentions in press/blogs by other websites or in social media, media coverage, YouTube views), (b) awards and/or prize money, (c) various other quantitative metrics, such as KPIs, TAM, ROI, CAC, NPI (if available), (d) Yegii Publisher score (based on the quality of the startup’s website), and (e) mount of capital raised (if available), based on a pool of data from online sources or reputable startup databases.
Editor score :
carefully chosen editors’ scores may be weighted up to 50%, when applied, given the importance of expert, subjective opinion and intuition in evaluating early stages of innovation where few metrics exist.