Finance AI Agent Tools, Routed Through QVeris
QVeris helps AI agents discover, inspect, and call verified finance-related tools, APIs, live data, and external services through one unified capability routing layer. Not a single API. Not a static directory. An agent-native routing network built for finance workflows.
Why QVeris for finance AI agents
QVeris is not a single finance API, a generic marketplace, or a static directory. It is an agent-native capability routing layer purpose-built for how AI agents discover and use financial data.
Agent-native discovery
Agents describe what finance data they need in natural language. QVeris returns ranked, verified matches — no pre-coded endpoints, no hardcoded provider logic.
Verified finance capabilities
Every capability includes quality signals — success rate, average latency, and estimated cost. Agents inspect before committing. Zero-cost decision-making.
Unified routing layer
One API key. One protocol. Market data, research, compliance, crypto, macro, and alt signals all routed through the same discover-inspect-call workflow.
Production-ready execution
Sandboxed runtime, structured JSON responses, unique execution IDs, and full session tracing. Built for teams running finance agents in production.
Finance capability categories
QVeris provides verified access across six finance domains. Each category includes capabilities sourced from multiple providers, with transparent quality metrics.
Market data & price intelligence
Access verified capabilities for equities, FX, commodities, and index data. Built for quantitative workflows, trading agents, and market monitoring systems.
Investment research
Earnings data, analyst consensus, valuation models, and fundamentals. Give your research agent a complete data foundation for company and sector analysis.
Macro & fixed income
Interest rates, yield curves, inflation data, and macroeconomic indicators. Support for fixed income analysis and top-down research workflows.
Risk & compliance
KYC verification, sanctions screening, regulatory data. Full audit trail for every call — built for compliance-aware workflows.
Crypto & on-chain data
Blockchain data, DeFi metrics, stablecoin flows, and on-chain signals. Access blockchain data and on-chain metrics for cross-asset workflows.
Alternative data & signals
News sentiment, social media analytics, event-driven indicators, and macroeconomic surprise data. Go beyond standard datasets for alpha generation.
Discover. Inspect. Call. — for finance workflows
Three steps. Discovery and inspection are always free. You only spend credits when your agent makes a call.
Your agent describes the finance data it needs — "today's S&P 500 movers" or "KYC check on this entity" — and QVeris returns ranked, verified matches with cost, latency, and success rate. No hardcoded endpoints needed.
Review the full parameter schema, billing rules, provider information, and quality metrics of any finance capability before your agent commits. Zero-cost decision-making with full transparency.
Execute through a sandboxed environment. Structured JSON response with execution ID, billing details, and credit balance — fully auditable and ready for downstream finance workflows.
Finance use cases
From stock research agents to compliance automation, QVeris powers the tool-calling layer behind production finance AI agents.
Stock research AI agents
Give equity research agents on-demand access to market data, fundamentals, and earnings data through one unified API. Agents discover the right data source dynamically.
Investment research automation
Automate earnings analysis, peer comparison, and macro research. Agents discover and call the right data sources as research questions evolve — no pre-wired integrations.
Market intelligence workflows
Power market monitoring agents with real-time data, sentiment signals, and cross-asset intelligence. Combine traditional and alternative data through one protocol.
Risk & compliance monitoring
Embed KYC, sanctions screening, and regulatory checks into agent workflows. Full audit trail with execution IDs for every compliance-related call.
Crypto & on-chain analysis
Build agents that monitor DeFi metrics, track stablecoin flows, and analyze wallet activity. Cross-asset workflows spanning crypto and traditional markets.
Finance-enabled SaaS agents
Ship AI-native finance products where agents dynamically discover and call finance capabilities at runtime. Outsource the tool-integration layer to QVeris.
How QVeris compares
QVeris sits at a different layer of the finance data stack. Here is how it relates to other approaches.
| Capability | QVeris | Manual Finance API Integration | Generic API Marketplace | Static Tool Directory |
|---|---|---|---|---|
| Agent-native discovery | Natural language, dynamic | Must pre-code each endpoint | Keyword search, human-driven | Browse by category |
| Cost & quality preview | Cost, latency, success rate before calling | No preview — call and see | Pricing page, not programmatic | Not available |
| Unified protocol | One API for all finance capabilities | N different APIs, auth, schemas | Aggregated, limited depth | No protocol — links only |
| Provider transparency | Full provider visibility per capability | Full visibility | Often opaque | Listed but unverified |
| Structured execution | Sandboxed, JSON, execution ID, audit trail | Direct call, provider-dependent | Varies by provider | None |
| Finance capability breadth | 6 domains, 10,000+ capabilities | Limited to integrated APIs | Broad but shallow | Listings only |
| MCP server support | Native MCP server | None | None | None |
Integration options
QVeris meets your finance agent where it runs. All integration methods provide access to the same verified finance capabilities.
MCP Server
Native Model Context Protocol support. If your agent speaks MCP — Claude Code, Cursor, and others — QVeris appears as an MCP server with 10,000+ discoverable finance tools.
Python SDK
Typed client library with automatic retry, session management, and async support. Install in one command and start discovering finance capabilities from Python agents.
REST API
Standard HTTP interface. Three endpoints: discover, inspect, call. Works from any language, any runtime. Finance data access without framework lock-in.
CLI
Terminal-native workflow for scripting, CI/CD, and local development. Discover, inspect, and call finance capabilities without leaving the command line.
Built for production finance workflows
QVeris is designed for teams running finance agents in production — not just prototyping.
Structured execution
Every finance capability call executes in a sandboxed environment with structured JSON output, full parameter validation, and consistent response schemas your agent can parse reliably.
Auditability
Every call produces a unique execution ID linked to a search session and agent session. Full trace from intent to result — built for debugging, compliance, and cost analysis in finance workflows.
Observability
Monitor success rates, execution latency, and credit consumption per capability, per session, and per agent. Make data-driven decisions about which finance capabilities your agents depend on.
Where to go from here
This page covers QVeris finance capabilities. Explore related product pages to learn more or contact us to discuss your team's finance AI agent needs.
Platform Overview
See the full QVeris capability routing network and how it connects AI agents to verified real-world tools.
Pricing
Understand QVeris plans, credit packages, and how pricing scales with your team's finance capability usage.
All Capabilities
Browse all 15+ capability categories beyond finance, including developer tools, document processing, and more.
Contact QVeris
Discuss your team's finance AI agent requirements, enterprise needs, or custom capability access with our team.