Veroq

Financial search & intelligence MCP server — 52 tools for verified market data, trading signals, fact-checking with evidence chains, and 1,061+ tickers. Ask anything, verify everything.

veroq-mcp

The verified intelligence layer for AI agents. 62 MCP tools. Finance as flagship. Legal, research, compliance, and custom verticals built in.

Every claim is fact-checked. Every output includes confidence scores and evidence chains. Every decision is logged with full lineage. Enterprise customers get safety rules, escalation triggers, and audit trails.

veroq.ai | API Reference | Pricing

Install

npm install -g veroq-mcp

Get your API key at veroq.ai/settings.

Quick Start

Once installed, two tools handle most use cases:

veroq_ask      "How is NVIDIA doing?"          → price, technicals, earnings, sentiment, news
veroq_verify   "Apple beat Q4 earnings by 20%"  → SUPPORTED (92%), 5 sources, evidence chain

For multi-agent workflows, use the Verified Swarm:

veroq_run_verified_swarm   { "query": "Analyze NVDA for a long position" }
→ 5 agents: planner → researcher → verifier → critic → synthesizer
→ Every step verified, escalation on high-stakes, full decision lineage

For domain-specific pipelines, use the Agent Runtime:

veroq_create_runtime   { "vertical": "finance", "query": "Analyze NVDA" }
veroq_create_runtime   { "vertical": "legal", "query": "GDPR data retention" }

Why VeroQ?

CapabilityWhat you get
Verified outputsEvidence chains, confidence breakdowns, source reliability scores on every response
Enterprise safetyPermission engine, decision lineage, human-in-the-loop escalation, full audit trails
Multi-agent workflowsVerified Swarm with 5-agent pipeline, budget control, parallel execution, caching
Multi-domain runtimeFinance (flagship), legal, research, compliance, custom verticals with domain-specific safety
External MCP integrationSecurely proxy external APIs through VeroQ's permission engine, rate limiting, and audit
Self-improvementFeedback loop flags low-confidence outputs, web search fallback fills data gaps
Cost control3 cost modes (cheap/balanced/premium), per-step budgets, credit transparency
ObservabilityPer-tool metrics, cache hit rates, escalation rates, feedback volume

IDE Setup

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "veroq": {
      "command": "veroq-mcp",
      "env": { "VEROQ_API_KEY": "your-api-key" }
    }
  }
}

Cursor

Settings > MCP Servers > Add Server: Name veroq, Command veroq-mcp, Env VEROQ_API_KEY=your-api-key.

Tools (62)

Hero Tools

ToolWhat it doesCost
veroq_askAsk any financial question — routes to 41 intents automatically1-5cr
veroq_verifyFact-check any claim with evidence chain + confidence breakdown3cr

High-Level Tools

ToolWhat it doesCost
veroq_analyze_tickerComplete ticker analysis (price, technicals, earnings, sentiment, news)3cr
veroq_verify_market_claimFact-check financial claims with evidence and source reliability3cr
veroq_generate_trading_signalNLP screener + composite trade signal5cr
veroq_comprehensive_intelligenceMarket briefing (indices, movers, trending, yields)3cr
veroq_compare_tickersSide-by-side comparison with correlation matrix3cr
veroq_tool_searchContext-aware tool discovery with filteringfree

Swarm & Runtime

ToolWhat it doesCost
veroq_run_verified_swarmMulti-agent pipeline with verification at every step15-25cr
veroq_create_runtimeDomain-specific runtime (finance, legal, research, compliance)10-25cr
veroq_process_feedbackSubmit or query the self-improvement feedback loopfree
veroq_call_external_toolSecurely call registered external MCP servers1-5cr

Market Data (16 tools)

veroq_ticker_price (free), veroq_full, veroq_candles, veroq_technicals, veroq_earnings, veroq_market_movers, veroq_market_summary, veroq_economy, veroq_forex, veroq_commodities, veroq_sectors, veroq_portfolio_feed, veroq_screener, veroq_screener_presets, veroq_alerts, veroq_ticker_score

Crypto (4 tools)

veroq_crypto, veroq_crypto_chart, veroq_defi, veroq_defi_protocol

Search & Intelligence (15 tools)

veroq_search, veroq_feed, veroq_brief, veroq_extract, veroq_entities, veroq_trending, veroq_compare, veroq_research, veroq_timeline, veroq_forecast, veroq_contradictions, veroq_events, veroq_diff, veroq_web_search, veroq_crawl

Fundamentals (5 tools)

veroq_insider, veroq_filings, veroq_analysts, veroq_congress, veroq_institutions

Other (7 tools)

veroq_ticker_news, veroq_ticker_analysis, veroq_search_suggest, veroq_social_sentiment, veroq_social_trending, veroq_ipo_calendar, veroq_run_agent

Reports (2 tools)

veroq_generate_report, veroq_get_report

Programmatic Usage

VeroQ is also available as a TypeScript/Python library:

import { createRuntime, registerExternalMcpServer } from "veroq-mcp";

// Finance runtime with external market data
const runtime = createRuntime({
  vertical: "finance",
  enterpriseId: "acme-capital",
  costMode: "balanced",
  enableSelfImprovement: true,
  externalServers: [{
    serverId: "bloomberg",
    serverUrl: "https://api.bloomberg.com",
    auth: { type: "bearer", credential: process.env.BLOOMBERG_TOKEN },
    allowedTools: ["get_security", "get_analytics"],
    trustLevel: "read-only",
  }],
});

const result = await runtime.run("Analyze NVDA for a long position");
console.log(result.synthesis.summary);
console.log(result.budget);           // { spent: 12, remaining: 38 }
console.log(result.verificationSummary); // { avgConfidence: 82, flaggedSteps: 0 }

Verify Any LLM Output

// Extract and verify every claim in arbitrary LLM text
const verified = await client.verifyOutput("NVIDIA's Q4 revenue exceeded $22B and margins expanded to 75%");
console.log(verified.claims);           // each claim with verdict, confidence, correction
console.log(verified.overall_confidence);

Agent Memory

// Store context tied to an agent
await client.memoryStore({ agent_id: "my-bot", key: "nvda-thesis", value: "bullish on AI capex" });

// Recall relevant context for a query
const context = await client.memoryRecall({ agent_id: "my-bot", query: "NVDA outlook" });

// List all stored memories
const memories = await client.memoryList({ agent_id: "my-bot" });

Real-Time Verification Stream

// Persistent SSE — pushes ticker_status, signal_change, confidence_change, claim_update
const stream = client.watch({ tickers: ["NVDA", "AAPL"], agent_id: "my-bot" });
stream.on("signal_change", (event) => console.log(event));

Enterprise

Enterprise customers get:

  • Permission engine — allow/deny/review rules with wildcard patterns
  • Decision lineage — full rule evaluation trace for every tool call
  • Escalation — high-stakes queries trigger human-in-the-loop review
  • Audit trails — every decision logged with session tracking
  • External MCP — securely proxy external APIs with trust levels and rate limits
  • Feedback loop — self-improvement with web search fallback
  • Observability — admin dashboard with verification stats, safety triggers, credit consumption

Contact [email protected] or visit veroq.ai/pricing.

Environment Variables

VariableRequiredDescription
VEROQ_API_KEYYesYour VEROQ API key
VEROQ_BASE_URLNoAPI base URL (default: https://api.veroq.ai)

POLARIS_API_KEY and POLARIS_BASE_URL accepted for backward compatibility.

TradingAgents-Pro

TradingAgents-Pro is a demo showcasing what VeroQ can do — 15 agents running on the verified intelligence layer. VeroQ is the product. TradingAgents-Pro is the showcase.

License

MIT

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