Tools (4)

search_articles
get_article_summary
get_article_sections
report_feedback

search_articles

Search Wikipedia articles by keyword.

Finds articles matching the query and returns titles, snippets, and metadata.

Examples:
search_articles("quantum computing") -> articles about quantum computing
search_articles("Norwegian fjords", limit=10) -> articles about fjords in Norway

Returns:
List of matching articles with title, snippet, page_id, and word_count.

Parameter	Type	Required	Description
`query`	`string`	required	Search query — keywords or phrases to find Wikipedia articles.
`limit`	`integer`	optional	Max results to return (default 5, max 20). (default: 5)

Request Body

{
  "query": "example"
}

get_article_summary

Get a concise summary of a Wikipedia article.

Returns the article's lead paragraph, description, thumbnail image,
and URL. Fast way to get key facts about any topic.

Examples:
get_article_summary("Python (programming language)") -> Python summary
get_article_summary("Albert Einstein") -> Einstein biography summary

Returns:
Article title, description, extract (plain text summary), page URL, and thumbnail.

Parameter	Type	Required	Description
`title`	`string`	required	Wikipedia article title (e.g. 'Artificial intelligence', 'Oslo').

Request Body

{
  "title": "example"
}

get_article_sections

Get the full section structure and content of a Wikipedia article.

Returns all sections with headings and plain text content. Useful when
you need detailed information from specific parts of an article.

Examples:
get_article_sections("Climate change") -> all sections about climate change
get_article_sections("History of Norway") -> detailed Norwegian history by section

Returns:
List of sections with heading, level, and plain text content.

Parameter	Type	Required	Description
`title`	`string`	required	Wikipedia article title (e.g. 'Machine learning', 'Norway').

Request Body

{
  "title": "example"
}

report_feedback

Report a bug, feature request, or general feedback for this data source.

Use this when something doesn't work as expected, when you'd like
a new feature, or when you have suggestions for improvement.

Args:
feedback: Describe the issue or suggestion.
feedback_type: One of 'bug', 'feature_request', or 'general'.

Parameter	Type	Required	Description
`feedback`	`string`	required
`feedback_type`	`string`	optional	(default: "general")

Request Body

{
  "feedback": "example"
}

Quick Start

Shell

curl -X POST "https://context.gnist.ai/rest/wikipedia/search_articles" \
  -H "Content-Type: application/json" \
  -H "Gnist-API-Key: YOUR_API_KEY" \
  -d '{"query": "example"}'

Python

import httpx

resp = httpx.post(
    "https://context.gnist.ai/rest/wikipedia/search_articles",
    headers={"Gnist-API-Key": "YOUR_API_KEY"},
    json={
  "query": "example"
},
)
print(resp.json())