source-validation

You can assess source credibility by submitting article metadata and a URL. The skill evaluates authors, publications, recency, and references using a structured scoring rubric to generate a reproducible credibility report with clear recommendations.

Detecting bias involves checking financial, political, and methodological dimensions. This skill surfaces potential biases across these dimensions using structured checks, reducing the risk of misinformation seeping into your analyses and improving overall research integrity.

Yes, you can evaluate blogs, but the credibility scoring relies on provided source data like metadata, content quality, and references. If a blog lacks external references, the structured scoring rubric will reflect lower credibility based on the available evidence.

Source verification works by evaluating provided source data across metadata, content quality, recency, and references. It enforces a structured scoring rubric and bias checks to identify credibility and flag biases, producing a final recommendation.

Automated evidence verification relies only on the provided source data and does not fetch external information. It cannot verify claims beyond the submitted metadata and content, meaning incomplete inputs will limit the accuracy of the final credibility recommendation.