get_bias_from_url
Analyze political leaning, credibility, and bias dimensions of news articles by URL. Get AI-generated summaries, bias scores, and context for media analysis.
Instructions
Get bias analysis for a specific article by its URL.
Use this when you have a direct link to an article and want to know its political leaning,
credibility, emotionality, and other bias dimensions — without needing to know the source name first.
On success (found=true), returns:
- title, source, date, link, category
- teaser: article excerpt
- summary: one-sentence AI summary
- context: AI-generated context for the article
- bias_description: narrative description of this specific article's bias
- bias_values: dict of per-dimension bias scores using plain-text keys (same schema as
get_all_source_biases and search_news),
e.g. {"liberal conservative bias": 12.3, "overall credibility": 40.1, "emotional bias": -5.2, ...}
Positive values lean toward the second pole of each dimension (conservative, authoritarian, etc.).
- total_shares: total social shares
- wayback_link: Wayback Machine archive URL if available
- image: article image URL if available
On failure (found=false, HTTP 404):
- found: false
- message: explanation string
The URL is automatically queued for ingestion; retry after ~24 hours.
Tip: if you want source-level bias (not article-level), use get_source_bias instead.
Tip: bias_values keys here use plain-text format (e.g. 'liberal conservative bias') and are
identical to those in get_all_source_biases and search_news. Note: get_source_bias returns
bias_scores with emoji-prefixed display keys — do not cross-reference them with bias_values here.
Args:
url: Full article URL, e.g. 'https://www.nytimes.com/2024/01/01/us/politics/example.html'.Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |