Get comprehensive bias analysis for a news source.
Returns:
- source_name, slug_name, page_url
- source_match: original query and deterministic match method
- articles_analyzed: total articles in the bias database for this source
- last_updated: source-profile aggregation timestamp
- avg_social_shares: average social shares per article
- emotionality_score (0-10): how emotional the writing is
- prescriptiveness_score (0-10): how much the source tells readers what to think/do
- bias_values: canonical plain-text source-level weighted display scores (-50 to +50 bipolar,
0 to +50 unipolar). Keys match the article tools; these are directional source summaries,
not raw article-score averages.
- bias_scores: legacy emoji-prefixed display scores
- bias_score_methodology: scope and evidence caveats for aggregate scores
- bias_description: clean-text, AI-generated overall bias summary narrative
- bias_description_metadata: generation time, automated review status, and evidence scope
- bias_description_html: optional website HTML when include_html=true
- liberal_conservative_description: narrative on political leaning
- libertarian_authoritarian_description: narrative on authority stance
- signature_phrases: words/phrases uniquely overrepresented vs other sources
- signature_negative_phrases: uniquely negative/alarming phrases
- most_shared_phrases: phrases in their most viral articles
- most_emotional_phrases: phrases used in their most emotional articles
- pays_for_traffic_keywords: keywords this source buys ads for
- similar_sources: sources with the most similar bias profile
- most_different_sources: sources with the most different bias profile
- trends_graph_url: URL to a chart of this source's coverage volume over time
- bias_plot_urls: dict of 2D bias scatter plot image URLs (political_lib_auth, subjective_objective, informative_opinion, oversimplification_factful) — only present when available
- recent_articles: list of most recent articles with full article fields, bias_values,
analysis status, and optional self-contained bias_dimensions and bias_analysis.
Evidence quotes include verification method and exact character offsets when available.
- recent_evidence_coverage: reconciled counts for verified, unverified, partial,
legacy-scored, and pending articles, plus evidence-bearing count and verified ratio
Throws an error if the source is not found.
Args:
source: Source name, slug, or domain (e.g. 'Fox', 'reuters', 'bbc.co.uk').
Partial names are accepted only when they identify one source; ambiguous input returns candidates.
recent_articles: Number of recent articles to include (1-50, default 10).
include_evidence: Include per-article claims, verbatim evidence, counterevidence,
confidence, rationale, and limitations. Defaults to false to keep
multi-article source payloads compact.
include_html: Also return the original website-formatted source narrative. Defaults to false.