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fastCRW Pergamon
Research · US

Wikipedia

en.wikipedia.org

Article summaries and metadata from the English Wikipedia REST API.

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1Request

Article title, spaces or underscores both fine. Several titles can be pipe-separated, but extracts are limited to 20 pages per call and only 1 when exintro is used.

Set 1 to return only the lead section instead of the whole article. Only works with a single title.

Return at most this many sentences, 1-10.

1 credit⌘ ↵
Code follows the fields above
curl "https://api.fastcrw.com/v1/data/wikipedia/extract?titles=Albert+Einstein" \
  -H "Authorization: Bearer $FASTCRW_API_KEY"

2Response example

A sample shape. Press Run to see live data from Wikipedia.

JSON
{
  "batchcomplete": true,
  "query": {
    "pages": [
      {
        "pageid": 736,
        "ns": 0,
        "title": "Albert Einstein",
        "extract": "Albert Einstein (14 March 1879 – 18 April 1955) was a German-born theoretical physicist best known for developing the theory of relativity. Einstein also made important contributions to quantum theory. His mass–energy equivalence formula E = mc2, which arises from special relativity, has been called…"
      }
    ]
  }
}

Attribution: Source: Wikipedia, CC BY-SA 4.0

Licence: Article text is CC BY-SA 4.0 and GFDL; reuse requires attribution and share-alike on derivatives of the text.

Ask with this source

A prompt for your agent that names this source and how to call it through the crw MCP.

  • Plain-text article extract

    Use Wikipedia (wikipedia) from fastCRW Pergamon, capability "Plain-text article extract" (extract). You want the actual prose of an article to read, summarise or feed to a model, rather than the two-sentence summary card. Example options: titles=Albert Einstein, exintro=1, exsentences=3. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "wikipedia" and capability "extract". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>

  • Featured content for a date

    Use Wikipedia (wikipedia) from fastCRW Pergamon, capability "Featured content for a date" (featured-feed). You want what Wikipedia itself surfaced on a given day - today's featured article, picture of the day, or what people were actually reading. Example options: year=2024, month=01, day=15. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "wikipedia" and capability "featured-feed". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>

  • Articles near a coordinate

    Use Wikipedia (wikipedia) from fastCRW Pergamon, capability "Articles near a coordinate" (geosearch). You have coordinates and want to know what notable places, buildings or landmarks are there. Example options: gscoord=48.8584|2.2945, gsradius=1000, gslimit=20. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "wikipedia" and capability "geosearch". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>

  • Page media list

    Use Wikipedia (wikipedia) from fastCRW Pergamon, capability "Page media list" (media-list). You want the pictures or media used in an article, not just the single lead thumbnail the summary returns. Example options: title=Albert_Einstein, redirect=false. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "wikipedia" and capability "media-list". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>