Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "Wikexa Knowledge",
  "description": "Structured encyclopedia, entity and dictionary knowledge for AI agents.",
  "url": "https://wikexa.com",
  "provider": {
    "organization": "Wikexa"
  },
  "version": "1.1.1",
  "capabilities": {
    "streaming": false
  },
  "skills": [
    {
      "id": "lookup",
      "name": "lookup",
      "description": "Facts about any named thing \u2014 person, company, place, species, event, concept. Returns structured fields (dates, identifiers, relationships) plus a ~200-token summary, drawn from 10.2M entity records. Prefer this over fetching an encyclopedia page: the HTML costs ~15,000 tokens to recover ~500 tokens of fact. Resolves aliases and Wikidata Q-ids, so \"Apple\", \"Apple Inc\" and \"Q312\" all reach the same entity. Free, no key."
    },
    {
      "id": "article",
      "name": "article",
      "description": "The full text of an article, for when lookup()'s summary is not enough \u2014 sections as a JSON array, infobox as key/value facts, no HTML or wikitext to parse. Pass `sections` to pull only the parts you need (e.g. [\"Early life\"]) and `max_chars` to cap the payload; both exist because a long article will otherwise flood your context."
    },
    {
      "id": "define",
      "name": "define",
      "description": "What a word means, in thousands of languages \u2014 8.15M dictionary entries with senses, part of speech, etymology and pronunciation. Covers what a general model is weakest at: historical languages (Old English, Gothic, Ancient Greek, Middle French) and hundreds of regional and indigenous ones. A single spelling often has entries in many languages and you get all of them \u2014 `hund` returns Danish, Gothic, Icelandic, Middle English and more \u2014 or pass `language` to narrow, `pos` for one part of speech. Use this for words and lookup() for things: define(\"java\") gives the word in eight languages, lookup(\"Java\") gives the island."
    },
    {
      "id": "search",
      "name": "search",
      "description": "Find the right title when you only have a partial name or a rough description. Returns ranked {title, wikidata_id, description, summary_snippet}; ranking blends text relevance with monthly pageviews and follows redirects, so abbreviations land on the real article \u2014 \"usa\" returns United States, \"jfk\" returns John F. Kennedy, \"apple\" returns Apple Inc. rather than a disambiguation page. Searches every corpus at once unless you pass `corpus`. Follow up with lookup() for facts or article() for the text."
    },
    {
      "id": "recent",
      "name": "recent",
      "description": "What changed in the last hours or days \u2014 the escape hatch for facts newer than your training cutoff. Reach for this whenever the answer could have moved since you were trained: elections, appointments, acquisitions, releases, deaths, records. Returns titles with timestamps and edit comments; resolve any of them with lookup(). Pass `topic` to filter and `hours` to widen the window up to a week."
    }
  ]
}