LCX AI is an AI-powered financial research platform built by LCX AI Labs. It combines live market data, real-time X and Reddit sentiment, and frontier LLM reasoning into a single, focused research environment.

Unlike general-purpose AI assistants, lcx ai is scoped exclusively to financial topics — markets, assets, macro trends, sentiment, and earnings — so every answer is grounded in relevant, verifiable data.

For programmatic access, use the LCX AI REST API. You'll need a Pro or Team subscription to get an API key.

# Install via npm (optional JS SDK)
npm install @lcx/finance-ai

# Or use cURL directly
curl -X POST https://api.financeai.lcx.com/v1/query \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What is X saying about Bitcoin right now?",
    "mode": "x",
    "model": "auto"
  }'

import FinanceAI from '@lcx/finance-ai';

const client = new FinanceAI({
  apiKey: process.env.FINANCE_AI_KEY
});

const result = await client.query({
  query: "Compare analyst sentiment on $AAPL vs $MSFT",
  mode:  "market",  // market | x | reddit | deep | fact | video
  model: "auto"     // auto-routed, or specify e.g. "claude-sonnet-4.5"
});

console.log(result.answer);    // synthesised answer
console.log(result.citations); // array of source references
console.log(result.sentiment); // { bullish: 78, bearish: 22 }

Pass your API key in the Authorization header of every request:

Authorization: Bearer fai_live_xxxxxxxxxxxxxxxxxxxx

The default mode. Queries live price data, earnings, indices, crypto rates, and macroeconomic indicators. Best for: price lookups, earnings summaries, index performance, and macro snapshots.

Scans real-time X posts from analysts, investors, and financial commentators. Uses Grok's native X integration when available for maximum freshness. Best for: breaking news, analyst hot-takes, real-time sentiment.

Searches r/WallStreetBets, r/investing, r/CryptoCurrency, r/stocks and other financial subreddits. Best for: retail sentiment, meme stock activity, community conviction signals.

Agentic mode. LCX AI decomposes your query into sub-tasks, searches multiple sources in parallel, and produces a structured, cited research report. Takes 10–30s. Best for: thorough company analysis, macro deep-dives, comparative research.

Cross-references a claim against primary financial sources — SEC filings, earnings releases, official central bank statements. Returns a verdict with supporting evidence. Best for: verifying market claims before acting on them.

Beta. Searches financial video content — earnings calls, CNBC segments, analyst interviews. Extracts spoken insights and timestamps. Best for: capturing spoken guidance from earnings calls.

Includes real-time equity prices, crypto rates, FX pairs, commodity prices, index values, earnings data, dividend history, and macroeconomic indicators (CPI, Fed funds rate, GDP estimates). Data is refreshed every 15 seconds for prices and every minute for derived indicators.

Real-time posts from financial accounts, analysts, fund managers, and retail investors on X. LCX AI uses Grok's native X API integration where available for sub-minute freshness. Non-Grok models use LCX AI's own X connector with a ~5 minute delay.

Posts, comments, and upvote signals from key financial subreddits: r/wallstreetbets, r/investing, r/stocks, r/CryptoCurrency, r/SecurityAnalysis, r/options, and more. Refreshed every 2 minutes.

The routing engine scores each incoming query across three dimensions — complexity, source affinity, and latency requirement — and dispatches it to the highest-scoring available model for the user's plan tier.

if query.is_simple_lookup():
    return "claude-haiku-4.5"  # fast
elif query.needs_x_sentiment():
    return "grok-3"            # native X access
elif query.mode == "deep":
    return "claude-opus-4"     # best reasoning
elif query.needs_math():
    return "deepseek-r1"       # quantitative
else:
    return "claude-sonnet-4.5" # default

Sentiment queries work best when they specify a ticker or topic, a source, and optionally a time frame. Vague queries return broader answers; specific ones return sharper signals.

# Broad X sentiment
"What is X saying about Bitcoin today?"

# Reddit community pulse
"Is r/WallStreetBets bullish or bearish on $NVDA this week?"

# Cross-source comparison
"Compare X vs Reddit sentiment on $AAPL after yesterday's earnings"

# Macro sentiment
"What's the general mood on interest rates across Reddit right now?"

The sentiment object returns bullish and bearish as percentages that sum to 100. A score of 70+ bullish signals strong community conviction. Scores between 45–55 indicate neutral or divided sentiment. Always check posts_scanned — a 90% bullish signal from 12 posts carries far less weight than from 4,000.

Use /deep when you need a comprehensive, multi-source answer — not a quick fact. It takes 10–30 seconds but returns a structured report with sections, citations, and a sentiment summary.

// API usage
const result = await client.query({
  query: "Give me a full breakdown of $TSLA's Q4 2025 earnings, analyst reactions on X, and Reddit sentiment",
  mode:  "deep",
  model: "auto"   // routes to claude-opus-4
});

// result.answer is a multi-section markdown report
// result.citations may contain 20+ sources

Added Grok-3 and Grok-3-mini models with native X integration. Introduced Sentiment API endpoint. Improved routing engine accuracy for X-sourced queries. Fixed latency regression on Deep Research mode.

Major release: Deep Research mode launched with agentic multi-step planning. Lookout Agents API enters beta. Added DeepSeek R1 and V3. Streaming response support via SSE.

X / Twitter integration launched. Model routing engine v1 shipped. Added time_range parameter. Gemini 2.5 Flash and Pro added to model roster.

Beta launch. Market search, Reddit sentiment, and Claude + GPT-4o integration. Web interface only.

No. LCX AI is a research and information tool only. Nothing it produces constitutes financial, investment, or legal advice. All investment decisions are solely your responsibility.

Market prices are refreshed every 15 seconds. X posts have ~5 minute latency (sub-minute with Grok). Reddit is refreshed every 2 minutes.

Use model: "auto" for most cases — the routing engine picks the best model. For X sentiment tasks, grok-3 has native X access. For deep analysis, claude-opus-4 or gemini-2.5-pro perform best.

No. LCX AI does not log or store your queries for model training purposes. All data handling is governed by LCX's privacy policy, aligned with EU regulations.

Yes. lcx ai covers crypto assets — prices, sentiment, community discussion, and macro trends — across BTC, ETH, and hundreds of altcoins.