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The knowledge harness for AI‑native finance

Context engineering meets financial data. Market bars, research papers, macro indicators — structured for agent context, not human browsing.

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Chat with LLMQuant's financial data through Remote MCP.

Available in every agent harness.

Configure once — every agent in your stack gets the data.

MCP server+Agent Skill→ drop in once, every environment below picks it up.
Chatbot
ChatGPT
Claude
Cursor
Agent CLI
Claude Code
Codex
Gemini CLI
OpenClaw
SDK & Code
LangGraph
ADK
AI SDK

30+ years of market memory.

One query for any point in time — from this morning's tick to a 1995 macro print. Snapshot and historical share the same call shape.

Macro indicators30y
US equity prices25y
Crypto OHLCV12y
live
one query, any point in time

Every shape of financial knowledge.

Eight data universes. Four ways to query each. One bearer key, one credit model, zero glue code.

Coverage
CryptoEquitiesETFsMacroWikiPapersSEC FilingsSEC 13F|NewsFundamentals

● coming Q3 2026

Source data
crypto.historical · BTC-USD · 1d
$87,680 · close1h · 4h · 1d · 1w
OHLCV bars, snapshots, indicator prints, raw markdown — exactly as upstream gives them.
Semantic search
wiki.search · "mean reversion in crypto"
0.94
Pairs Trading & CointegrationStrategy · 8,420 tokens
0.89
Statistical Arbitrage in Equity MarketsResearch · 12,350 tokens
0.85
Z-score Mean Reversion StrategiesStrategy · 6,780 tokens
0.81
Kalman Filter for Spread TradingMethod · 4,230 tokens
0.76
Ornstein-Uhlenbeck ProcessModel · 3,150 tokens
Embedding-ranked across every wiki entry, paper, and (soon) filing.
PageIndex tree
paper.read · arxiv:1908.10063
FinBERT (arXiv:1908.10063)
  • abstract1,240
  • introduction3,420
  • related_work5,180
  • methodology4,950
    • model_architecture2,100
    • training_procedure1,850
    • fine_tuning1,000
  • experiments6,210
    • FiQA_benchmark3,100
    • ablation_study3,110
  • results5,780
  • conclusion1,840
section-aware read39,780 ch
Section-aware hierarchy — read just the part the agent needs.
Knowledge graphsoon
graph.expand · concept ↔ paper ↔ ticker ↔ news
Coming soon
Traverse concepts ↔ papers ↔ tickers ↔ news as one fabric.

Different agent loops want the same knowledge in different shapes. We give you all four — choose the access that matches your reasoning step.

By the numbers
8data product universes
50,000+wiki + paper entries
<200msp95 search latency
50+FRED macro indicators

Frequently asked questions

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