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FINANCE CAPABILITY ROUTING金融能力路由

AI Finance Tools, Routed by QVerisQVeris 路由的AI 金融工具

Discover, inspect, and call verified finance capabilities through one governed layer built for production agent workflows.通过一个面向生产级 Agent 工作流的受治理层,发现、检查并调用经过验证的金融能力。

Finance capability map connecting six data domains through one governed router

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.

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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.

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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.

为什么为金融AI Agent选择QVeris

QVeris不是单一的金融API,也不是通用的市场或静态目录。它是一个Agent原生的能力路由层,专为AI Agent发现和使用金融数据而构建。

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Agent原生发现

Agent用自然语言描述所需的金融数据。QVeris返回排序后的经过验证的匹配结果——无需预编码端点,无需硬编码提供商逻辑。

经过验证的金融能力

每项能力都包含质量信号——成功率、平均延迟和预估成本。Agent在提交前进行检查。零成本决策。

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统一路由层

一个API密钥。一个协议。市场数据、研究、合规、加密、宏观和另类信号均通过相同的发现-检查-调用工作流进行路由。

生产就绪的执行

沙箱运行时、结构化JSON响应、唯一执行ID和完整会话追踪。专为在生产环境中运行金融Agent的团队构建。

Finance capability categories

QVeris provides verified access across six finance domains. Each category includes capabilities sourced from multiple providers, with transparent quality metrics.

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Market data & price intelligence

Access verified capabilities for equities, FX, commodities, and index data. Built for quantitative workflows, trading agents, and market monitoring systems.

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Investment research

Earnings data, analyst consensus, valuation models, and fundamentals. Give your research agent a complete data foundation for company and sector analysis.

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Macro & fixed income

Interest rates, yield curves, inflation data, and macroeconomic indicators. Support for fixed income analysis and top-down research workflows.

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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.

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Alternative data & signals

News sentiment, social media analytics, event-driven indicators, and macroeconomic surprise data. Go beyond standard datasets for alpha generation.

金融能力类别

QVeris提供跨六个金融领域的经过验证的访问。每个类别包含来自多个提供商的能力,并附带透明的质量指标。

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市场数据与价格情报

访问经过验证的股票、外汇、大宗商品和指数数据能力。专为量化工作流、交易Agent和市场监控系统构建。

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投资研究

盈利数据、分析师共识、估值模型和基本面。为你的研究Agent提供公司和行业分析的完整数据基础。

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宏观与固定收益

利率、收益率曲线、通胀数据和宏观经济指标。支持固定收益分析和自上而下的研究工作流。

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风险与合规

KYC验证、制裁筛查、监管数据。每次调用均有完整审计追踪——专为合规感知工作流构建。

加密与链上数据

区块链数据、DeFi指标、稳定币流动和链上信号。访问区块链数据和链上指标,用于跨资产工作流。

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另类数据与信号

新闻情绪、社交媒体分析、事件驱动指标和宏观意外数据。超越标准数据集,用于alpha生成。

Discover. Inspect. Call. — for finance workflows

Three steps. Discovery and inspection are always free. You only spend credits when your agent makes a call.

Finance agent workflow: Discover finance capabilities through natural language, Inspect schemas and costs before committing, Call with structured execution and audit trail
Always Free
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Discover finance capabilities

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.

Always Free
⚙️
Inspect before committing

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.

Credits-Based
Call with structured execution

Execute through a sandboxed environment. Structured JSON response with execution ID, billing details, and credit balance — fully auditable and ready for downstream finance workflows.

发现. 检查. 调用. — 面向金融工作流

三步完成。发现和检查始终免费。仅在您的代理发起调用时消耗积分。

金融智能体工作流:通过自然语言发现金融能力,在提交前检查模式和成本,通过结构化执行和审计追踪进行调用。
始终免费
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发现金融能力

您的智能体描述所需的金融数据 — 如“今日标普500变动”或“对该实体的KYC检查” — QVeris 返回排序、验证的匹配结果,并附有成本、延迟和成功率。无需硬编码端点。

始终免费
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提交前检查

在您的智能体提交前,查看任何金融能力的完整参数模式、计费规则、提供商信息和质量指标。零成本决策,完全透明。

基于积分
通过结构化执行进行调用

通过沙盒环境执行。结构化 JSON 响应包含执行ID、计费详情和积分余额 — 完全可审计,随时可用于下游金融工作流。

Finance use cases

From stock research agents to compliance automation, QVeris powers the tool-calling layer behind production finance AI agents.

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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.

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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.

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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.

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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.

金融用例

从股票研究智能体到合规自动化,QVeris 为生产环境中的金融 AI 智能体提供工具调用层支持。

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股票研究 AI 智能体

通过统一 API,为股权研究智能体提供按需访问市场数据、基本面数据和盈利数据的能力。智能体动态发现合适的数据源。

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投资研究自动化

自动化盈利分析、同行比较和宏观研究。随着研究问题演变,智能体发现并调用合适的数据源 — 无需预先集成。

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市场情报工作流

为市场监控智能体提供实时数据、情绪信号和跨资产情报。通过同一协议结合传统数据和另类数据。

风险与合规监控

将KYC、制裁筛查和监管检查嵌入智能体工作流。每次合规相关调用均带有完整审计追踪和执行ID。

加密货币与链上分析

构建监控 DeFi 指标、追踪稳定币流动和分析钱包活动的智能体。跨资产工作流覆盖加密货币和传统市场。

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金融赋能的 SaaS 智能体

交付 AI 原生金融产品,智能体在运行时动态发现并调用金融能力。将工具集成层外包给 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

QVeris 对比

QVeris 处于金融数据栈的不同层级。以下是它与其他方法的关联。

能力 QVeris 手动金融 API 集成 通用 API 市场 静态工具目录
Agent原生发现 自然语言,动态 必须预先编码每个端点 关键词搜索,人为驱动 按类别浏览
成本与质量预览 调用前了解成本、延迟、成功率 无预览 — 调用后才知道 定价页面,非程序化 不可用
统一协议 一个API覆盖所有金融功能 N种不同API、认证、模式 聚合,深度有限 无协议——仅链接
提供商透明度 每个功能的全提供商可见性 完全可见 通常不透明 已列出但未验证
结构化执行 沙箱化、JSON、执行ID、审计追踪 直接调用,依赖提供商 因提供商而异
金融功能广度 6大领域,10000+功能 仅限于集成API 广泛但浅层 仅列出
MCP服务器支持 原生MCP服务器

Integration options

QVeris meets your finance agent where it runs. All integration methods provide access to the same verified finance capabilities.

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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.

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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.

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REST API

Standard HTTP interface. Three endpoints: discover, inspect, call. Works from any language, any runtime. Finance data access without framework lock-in.

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CLI

Terminal-native workflow for scripting, CI/CD, and local development. Discover, inspect, and call finance capabilities without leaving the command line.

集成选项

QVeris与您的金融代理在其运行环境中无缝对接。所有集成方法均可访问相同的已验证金融功能。

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MCP 服务器

原生 模型上下文协议 支持。如果您的代理使用MCP协议——如Claude Code、Cursor等——QVeris将作为一个包含10000+可发现金融工具的MCP服务器出现。

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Python SDK

类型化客户端库,支持自动重试、会话管理和异步操作。一条命令安装,即可从Python代理开始发现金融功能。

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REST API

标准HTTP接口。三个端点:discover、inspect、call。适用于任何语言和运行时。无需绑定框架即可访问金融数据。

⌨️

CLI

终端原生工作流,适用于脚本、CI/CD和本地开发。无需离开命令行即可发现、检查和调用金融功能。

Built for production finance workflows

QVeris is designed for teams running finance agents in production — not just prototyping.

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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.

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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.

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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.

专为生产金融工作流打造

QVeris专为在生产环境中运行金融代理的团队设计——而不仅仅是原型开发。

🛡️

结构化执行

每个金融功能调用都在沙箱环境中执行,输出结构化JSON,进行完整参数验证,并提供一致的响应模式,让您的代理能够可靠解析。

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可审计性

每次调用都会生成一个唯一的执行ID,关联到搜索会话和代理会话。从意图到结果的完整追踪——专为金融工作流中的调试、合规和成本分析而构建。

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可观测性

监控每个能力、每个会话和每个智能体的成功率、执行延迟和信用消耗。基于数据做出决策,了解你的智能体依赖哪些金融能力。

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.

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Platform Overview

See the full QVeris capability routing network and how it connects AI agents to verified real-world tools.

Explore Platform →

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Pricing

Understand QVeris plans, credit packages, and how pricing scales with your team's finance capability usage.

View Pricing →

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All Capabilities

Browse all 15+ capability categories beyond finance, including developer tools, document processing, and more.

View Twelve Data →

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Contact QVeris

Discuss your team's finance AI agent requirements, enterprise needs, or custom capability access with our team.

Open the Quote Tool →

后续方向

本页面介绍 QVeris 的金融能力。探索相关产品页面以了解更多,或联系我们讨论团队的金融 AI 智能体需求。

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平台概览

查看完整的 QVeris 能力路由网络,以及它如何将 AI 智能体连接到经过验证的真实工具。

探索平台 →

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定价

了解 QVeris 的套餐、信用包以及定价如何随团队的金融能力使用量扩展。

查看定价 →

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所有能力

浏览金融之外的 15+ 个能力类别,包括开发者工具、文档处理等。

查看 Twelve Data →

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联系QVeris

与我们的团队讨论你的团队的金融 AI 智能体需求、企业需求或自定义能力访问。

打开报价工具 →

Frequently asked questions

What are finance AI agent tools?
Finance AI agent tools are verified capabilities that AI agents can discover, inspect, and call to access financial data and execute finance workflows. These include market data, investment research, risk and compliance data, crypto and on-chain data, macro indicators, and alternative signals. QVeris provides these through a unified capability routing network rather than requiring agents to integrate with each financial data source individually.
How does QVeris help finance AI agents?
QVeris acts as a capability routing layer between AI agents and financial data sources. Agents describe what finance data or capability they need in natural language, QVeris discovers matching verified tools, the agent can inspect schemas and costs before committing, and then calls the selected capability with structured parameters. This replaces manual per-API integration with a unified discover-inspect-call workflow across all finance capability categories.
Is QVeris a financial data provider?
No. QVeris is not a financial data provider. It is a capability routing network that connects AI agents to verified finance tools, APIs, and data sources from multiple providers through one unified protocol. QVeris handles discovery, inspection, routing, structured execution, and auditability — but the underlying data and capabilities come from a range of verified third-party sources. QVeris makes it easy for agents to find and use finance capabilities without managing each provider separately.
How is QVeris different from a finance API marketplace?
Unlike a finance API marketplace where developers manually search, read documentation, and integrate each API separately, QVeris is agent-native. AI agents discover finance capabilities using natural language, inspect costs and quality metrics before calling, and execute through one unified API. QVeris also provides structured execution with audit trails, execution IDs, and session tracing — capabilities not offered by standard API marketplaces that are designed for human developers rather than AI agents.
Can QVeris support investment research workflows?
Yes. QVeris supports investment research workflows by giving AI agents access to verified capabilities for earnings data, analyst consensus, valuation models, fundamentals, and market intelligence. Agents can discover and call the right data sources dynamically as research questions evolve, with structured JSON responses suitable for downstream analysis, modeling, and reporting.
Can QVeris support risk and compliance workflows?
Yes. QVeris includes verified capabilities for KYC verification, sanctions screening, regulatory data. Every compliance-related call produces a unique execution ID linked to a search session and agent session, providing a full audit trail suitable for compliance-aware environments. Enterprise plans add advanced RBAC. Enterprise options may include dedicated support, custom integrations, volume discounts, and custom SLAs.
Does QVeris support crypto and on-chain data workflows?
Yes. QVeris offers verified capabilities for blockchain data, DeFi metrics, stablecoin flows, and on-chain signals with access to blockchain data and on-chain metrics. AI agents can discover and call these capabilities through the same unified protocol used for traditional financial data, enabling cross-asset workflows that span both crypto and traditional markets in a single agent session.
How do AI agents call finance capabilities through QVeris?
AI agents call finance capabilities through QVeris in three steps: Discover — the agent describes what it needs in natural language ("today's sector ETF flows" or "earnings surprise for this ticker") and QVeris returns ranked capability matches with cost, latency, and success rate. Inspect — the agent reviews the full parameter schema, billing rules, and quality metrics at zero cost before committing. Call — the agent submits structured parameters and QVeris executes in a sandboxed environment, returning structured JSON with a unique execution ID, billing details, and remaining credit balance.
Does QVeris support MCP, CLI, Python SDK, or REST API?
Yes. QVeris provides multiple integration options that all provide access to the same finance capabilities: a native MCP server for Model Context Protocol compatible agents, a CLI for terminal-native scripting and CI/CD workflows, a Python SDK with typed client, async support, and auto-retry, and a standard REST API at api.qveris.ai/v1. Pricing is based on capability calls, not which interface your agent uses.
How can a team get access to QVeris finance capabilities?
Teams can start with a free QVeris account that includes 1,000 credits on signup plus 100 daily credits. The Pro plan at $19/month provides 10,000 credits and access to all 10,000+ verified capabilities including full finance domain coverage. Scale On-Demand credit packages are available from $1 with volume bonuses. For enterprise teams needing dedicated support, custom integrations, volume discounts, or custom SLAs, contact QVeris sales to discuss an Enterprise plan tailored to your finance workflows.

常见问题

什么是金融 AI 智能体工具?
金融 AI 智能体工具是经过验证的能力,AI 智能体可以自行发现、检查并调用,以访问金融数据并执行金融工作流。这些包括市场数据、投资研究、风险与合规数据、加密货币与链上数据、宏观指标以及另类信号。QVeris 通过统一的能力路由网络提供这些,而不需要智能体分别集成每个金融数据源。
QVeris 如何帮助金融 AI 智能体?
QVeris 充当 AI 智能体与金融数据源之间的能力路由层。智能体用自然语言描述所需的金融数据或能力,QVeris 发现匹配的已验证工具,智能体可以在提交前检查模式和成本,然后使用结构化参数调用所选能力。这取代了手动逐个 API 集成的做法,通过统一的“发现-检查-调用”工作流覆盖所有金融能力类别。
QVeris 是金融数据提供商吗?
不是。QVeris 不是金融数据提供商。它是一个能力路由网络,通过统一协议将 AI 智能体连接到来自多个提供商的经过验证的金融工具、API 和数据源。QVeris 处理发现、检查、路由、结构化执行和可审计性——但底层数据和能力来自一系列经过验证的第三方来源。QVeris 让智能体轻松找到并使用金融能力,而无需分别管理每个提供商。
QVeris 与金融 API 市场有何不同?
与金融 API 市场不同——在市场中开发者需要手动搜索、阅读文档并分别集成每个 API——QVeris 是智能体原生的。AI 智能体使用自然语言发现金融能力,在调用前检查成本和质量指标,并通过一个统一 API 执行。QVeris 还提供带有审计跟踪、执行 ID 和会话追踪的结构化执行——标准 API 市场不提供这些功能,因为它们是为人类开发者而非 AI 智能体设计的。
QVeris 能否支持投资研究工作流?
可以。QVeris 通过让 AI 智能体访问经过验证的能力来支持投资研究工作流,这些能力包括盈利数据、分析师共识、估值模型、基本面数据和市场情报。智能体可以随着研究问题的演变动态发现并调用正确的数据源,返回结构化 JSON 响应,适用于下游分析、建模和报告。
QVeris 能否支持风险与合规工作流?
可以。QVeris 包括经过验证的 KYC 验证、制裁筛查、监管数据能力。每次合规相关调用都会生成一个唯一的执行 ID,关联到搜索会话和智能体会话,提供适合合规审计环境的完整审计轨迹。企业套餐增加高级 RBAC。企业选项可能包括专属支持、自定义集成、批量折扣和自定义 SLA。
QVeris 是否支持加密货币和链上数据工作流?
可以。QVeris 提供经过验证的区块链数据、DeFi 指标、稳定币流动和链上信号能力,可访问区块链数据和链上指标。AI 智能体可以通过与传统金融数据相同的统一协议发现并调用这些能力,从而在单个智能体会话中实现跨加密和传统市场的跨资产工作流。
AI 智能体如何通过 QVeris 调用金融能力?
AI 智能体通过 QVeris 分三步调用金融能力:发现——智能体用自然语言描述需求(如“今天的行业 ETF 资金流向”或“该标的的盈利惊喜”),QVeris 返回排名匹配的能力及其成本、延迟和成功率。检查——智能体在提交前免费审查完整的参数模式、计费规则和质量指标。调用——智能体提交结构化参数,QVeris 在沙箱环境中执行,返回包含唯一执行 ID、计费详情和剩余信用余额的结构化 JSON。
QVeris 是否支持 MCP、CLI、Python SDK 或 REST API?
是的。QVeris 提供多种集成选项,所有选项都可访问相同的金融能力:一个原生 MCP 服务器,适用于 模型上下文协议 兼容的智能体、一个用于终端原生脚本和 CI/CD 工作流的 CLI、一个带有类型化客户端、异步支持和自动重试的 Python SDK,以及位于 api.qveris.ai/v1 的标准 REST API。定价基于能力调用,而非你的智能体使用的接口。
团队如何获取 QVeris 金融能力?
团队可以免费注册 QVeris 账户,注册即获 1,000 信用点,外加每日 100 信用点。Pro 套餐每月 $19 提供 10,000 信用点及全部 10,000+ 经过验证的能力,覆盖完整金融领域。按需扩展信用包从 $1 起,含批量优惠。企业团队如需专属支持、自定义集成、批量折扣或自定义 SLA,请联系 QVeris 销售定制适合你金融工作流的企业套餐。