Semantic search over the LLMQuant Quant Wiki — find concepts, formulas, factors, and strategies for your agent.
Available as MCP tools: wiki_search + wiki_read — call directly from Claude / Cursor / any MCP client. See MCP Server for the 60-second setup.
Live1 credit · searchfree · read
What it does for your agent
wiki_search returns the most relevant Quant Wiki entries for a natural-language query — concepts, formulas, factors, and strategies. Use it as a research entry point: when an agent encounters a finance term mid-task (“what’s the Black-Scholes assumption?”, “explain pairs trading”), call wiki_search first to locate the right wikiItemIds, then wiki_read to load the full markdown body.The hybrid ranker blends semantic similarity with keyword matching — so terse jargon and verbose questions both retrieve well.
Agent flow
Response
wiki_search response
WikiItem[]
required
Ranked array of wiki items (highest relevance first).
Show WikiItem fields
string
required
Stable identifier. Pass to wiki_read for the full article.
string
required
URL-friendly slug derived from the title.
string
required
Article title.
string
required
LLM-generated 2–3 sentence summary. Use this to decide whether to load the full article before spending a wiki_read.
string[]
required
Topic tags (e.g. equity, factor, derivatives).
object
required
Hybrid relevance scores. combined is the blended final score; semantic and lexical are the components (all 0–1).
number
Credits consumed by this call (always 1 for search).
number
Account credits remaining.
200 OK · wiki_search
{ "data": [ { "wikiItemId": "11111111-1111-4111-8111-111111111111", "slug": "momentum-factor", "title": "Momentum Factor", "summary": "Momentum captures the tendency of recent winners to keep winning over horizons of 3–12 months. It is one of the canonical Fama-French factors and underpins many systematic equity strategies.", "tags": ["equity", "factor"], "scores": { "combined": 0.91, "semantic": 0.88, "lexical": 0.79 } } ], "meta": { "creditsUsed": 1, "remainingCredits": 99 }}
wiki_read response
WikiItem
required
The full wiki entry.
Show WikiItem fields
string
required
Stable identifier.
string
required
Article title.
string
required
2–3 sentence summary.
string
required
Full article body in Markdown. Truncated to maxLength characters if specified.
string
required
One of concept, formula, strategy, factor.
string[]
required
Topic tags.
string
required
Canonical URL on quant-wiki.com.
datetime
required
ISO-8601 last-updated timestamp.
number
Always 0 for read.
number
Account credits remaining.
Notes
Two-step lookup is canonical: search returns IDs + summaries cheaply (1 credit, multiple hits), then wiki_read loads only the article(s) the agent actually needs (free). Read top-1 by default; read top-2 only when summaries are ambiguous.
Use maxLength on wiki_read to preview a long article before spending agent context tokens on the full body.
Queries longer than 2,000 characters are rejected with 400. Truncate or summarize long agent context before calling.
limit must be between 1 and 10 for wiki_search; values outside that range return 400.