Fetching an encyclopedia page costs an agent roughly 15,000 tokens of HTML to recover about 500 tokens of facts. Wikexa returns the facts — structured JSON, pre-processed once, served from the edge. No key, no account.
Reference sites have APIs, but they were built to render pages — they return markup, navigation chrome and citation scaffolding. An agent pays for all of it in tokens and discards nearly all of it. Wikexa does that parsing once, ahead of time, and stores the answer.
Send whatever the user said. Apple, Apple Inc and Q312 all resolve to one entity through redirects and our alias index.
Infobox as key–value pairs, a ~200-token summary, categories, related entities, and normalised claims. No markup, no empty fields.
article() returns sections as a JSON array and accepts sections and max_chars, so a long page never floods your context.
Every tool is available over MCP and as a plain REST endpoint. Both surfaces run the same handler, so they cannot drift apart.
Structured facts plus a ~200-token summary. Resolves aliases, redirects and entity IDs, so you can pass whatever the user typed.
Sections as a JSON array with the infobox parsed out. Ask for one section by name, or cap the payload — the token dial is yours.
Full-text relevance blended with monthly pageviews, so apple returns Apple Inc. and the fruit — not a disambiguation stub.
Articles changed in the last hours or days — elections, appointments, releases, deaths. The freshness a static model cannot have.
The expensive work — parsing, resolving, structuring — is done ahead of time, not while your agent waits. What is left at request time is a lookup and a response, served from close to the caller.
Warm lookups typically return in under 15ms wherever they are called from. No cold start to sit through, no query to plan, no rate-limit dance before you get an answer.
Individuals, research and open-source projects use it at no cost. Businesses running it at volume take a service plan that funds the infrastructure.
MCP over streamable HTTP, an OpenAPI description, llms.txt, and the usual well-known discovery documents. Listed in the Model Context Protocol registry as com.wikexa/knowledge.
curl -s 'https://wikexa.com/v1/lookup?entity=Ada%20Lovelace'
curl -s -X POST https://wikexa.com/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"lookup","arguments":{"entity":"Ada Lovelace"}}}'Or point any MCP client at https://wikexa.com/mcp.