Veroq

Verified AI. One function call.Stop shipping hallucinations.

62 MCP tools.shield()any LLM output. Evidence chains on every claim. Finance as flagship vertical, with legal, research, compliance, and custom domains built in.

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" }

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

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

Settings > MCP Servers > Add Server: Nameveroq, Commandveroq-mcp, EnvVEROQ_API_KEY=your-api-key.

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

veroq_crypto,veroq_crypto_chart,veroq_defi,veroq_defi_protocol

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

veroq_insider,veroq_filings,veroq_analysts,veroq_congress,veroq_institutions

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

veroq_generate_report,veroq_get_report

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 }

// 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);

// 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" });

// 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));

- 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

Contactenterprise@veroq.aior visitveroq.ai/pricing.

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

Operate the AgentPump agent economy: read the live market and create, fund, tune, and run autonomous on-chain trading agents.