The Capability Routing Network
for AI Agents Capability Routing for AI Agents
Discover, inspect, and call verified tools, APIs, and live data through one capability-routing protocol.
Your agent describes what it needs in natural language. QVeris searches 10,000+ capabilities and returns ranked matches with cost, latency, and success rate.
Review the full parameter schema, billing rules, and quality metrics of any capability before committing. Zero-cost decision-making.
Execute through a sandboxed environment. Structured JSON response with execution ID, billing details, and credit balance — fully auditable.
Built for production AI agent workflows
Infrastructure designed from day one to connect agents with verified real-world capabilities.
A capability routing layer for AI agents
Modern AI agents need to call external tools to do real work — market data, KYC checks, document parsing, weather APIs, and thousands more. But each tool comes with its own API, auth method, rate limits, error handling, and billing. Integrating a handful is manageable. Integrating dozens is a maintenance tax that slows teams down.
QVeris solves this with a discover-first architecture. Your agent describes the capability it needs in natural language, and QVeris finds the best match from 10,000+ verified tools across multiple verified providers. One protocol. One API key. Reduce per-provider integration work.
It is not an LLM. It is not an agent framework. It is the routing layer that connects agents to the real world — discover, inspect, and call, all in one unified flow.
Router
Discover. Inspect. Call.
Three steps. Discovery and inspection are always free. You only spend credits when your agent makes a call.
Discover
Your agent submits a natural-language query — "today's S&P 500 movers," "KYC check on this entity," or "extract tables from this PDF." QVeris searches across 10,000+ capabilities and returns a ranked list of matches, each tagged with estimated cost, average execution time, historical success rate, and provider name. No hardcoded endpoints. No pre-registration.
Inspect
Before committing, your agent inspects any candidate capability to see its full parameter schema, usage examples, billing rules, and live quality metrics. Compare multiple capabilities side by side and choose the best one for the task. Zero-cost, zero-risk.
Call
Your agent calls the selected capability with structured parameters. QVeris executes in a sandboxed environment and returns structured JSON — result payload, unique execution ID, billing details, and remaining credit balance. Every call is traced from agent to execution.
15+ categories, 10,000+ verified capabilities
From finance-related capabilities to general developer tools, sourced from a growing provider network.
Finance Data
Real-time and historical market data across equities, FX, commodities, and indices. Built for quantitative workflows and trading agents.
Investment Research
Earnings data, analyst consensus, valuation models, and fundamentals. Give your research agent a complete data foundation.
Risk & Compliance
KYC verification, sanctions screening, and regulatory data. Built for fintech agents needing compliance-aware capabilities.
Crypto & On-Chain Data
Blockchain data, DeFi metrics, stablecoin flows, and wallet intelligence. Supports crypto and traditional market workflows.
Alternative Signals
News sentiment, social media analytics, event-driven indicators, and macroeconomic surprise data. Go beyond standard datasets.
Developer Tools
PDF parsing, OCR, image generation, weather, geolocation, and more. General-purpose capabilities for any agent workflow.
Integrate your way — no framework lock-in
QVeris meets your agent where it runs. REST, Python, MCP, or CLI — pick the interface that fits your stack.
REST API
Standard HTTP interface at api.qveris.ai/v1. Three
endpoints: discover, inspect, call. Works from any language, any
runtime.
Python SDK
Typed client library with automatic retry, session management, and async support. Install in one command and start discovering.
MCP Server
Native Model Context Protocol support. If your agent speaks MCP — Claude Code, Cursor, and others — QVeris exposes 10,000+ tools through an agent tool-discovery workflow.
CLI
Terminal-native workflow for scripting, CI/CD, and local development. Discover, inspect, and call without leaving the command line.
Built for production agent workflows
QVeris is designed for teams running agents in production — not just prototyping. Every capability call is executed in a sandboxed environment with structured output, full parameter validation, and consistent JSON responses your agent can parse reliably.
Auditability: Every call produces a unique execution ID linked to a search session and an agent session. Full trace from intent to result. Built for debugging, compliance, and cost analysis.
Observability: Monitor success rates, execution latency, and credit consumption per capability, per session, and per agent. Make data-driven decisions about which capabilities your agents depend on.
Reliability: 99.99% uptime with sub-500ms p95 latency. RBAC access controls. No single-provider dependency — capabilities are sourced from a growing provider network.
What teams are building with QVeris
From financial services to agentic SaaS, QVeris powers the tool-calling layer behind production AI agents.
Finance AI Agents
Give trading, research, and advisory agents on-demand access to market data, fundamentals, and alternative signals through one API. No per-vendor integration.
Investment Research Automation
Automate earnings analysis, peer comparison, and macro research. Agents discover and call the right data sources dynamically as research questions evolve.
Compliance Workflows
Embed KYC, sanctions screening, and regulatory checks into agent workflows. Full audit trail for every call. Built for regulated environments.
Market & Crypto Intelligence
Power dashboards and monitoring agents with real-time on-chain data, DeFi metrics, sentiment signals, and cross-asset market intelligence.
Agentic SaaS Products
Build AI-native SaaS products where agents dynamically discover and call capabilities at runtime. Ship faster by outsourcing the tool-integration layer to QVeris.
Research & Analysis Agents
General-purpose research agents that pull data from diverse sources — financial, legal, technical, and beyond — through one unified discover-inspect-call flow.
How QVeris compares
QVeris sits at a different layer of the stack. Here is how it relates to other approaches.
| Capability | QVeris | Manual API Integration | Generic API Marketplace | Simple Tool Directory |
|---|---|---|---|---|
| Tool discovery | Natural language, dynamic | Must know each API in advance | Keyword search, human-driven | Browse by category, manual |
| 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 capabilities | N different APIs, auth, schemas | Aggregated, but limited depth | No protocol — links only |
| Provider transparency | Full provider visibility per capability | Full visibility | Often opaque | Listed but unverified |
| Agent-native design | Built for agents from day one | Built for human developers | Built for human developers | Built for human browsing |
| Audit trail | execution_id, search_id, session_id | Varies by provider | Limited to billing logs | None |
| MCP support | Native MCP server | None | None | None |
Frequently asked questions
What is a capability routing network?
How does QVeris connect my AI agent to external APIs?
/discover endpoint. QVeris returns ranked capability
matches with cost, latency, and success rate. Your agent then
inspects and calls the chosen capability — all through one
protocol. No per-API integration code required.
How is QVeris different from LLM function calling?
How does QVeris work with MCP servers?
How much does QVeris cost?
What kind of capabilities does QVeris provide?
Is QVeris suitable for production use?
How do I start using QVeris with my AI agent?
pip install qveris) or call the REST API
directly. Run your first discover query. You can also try the
Playground with no account required to explore live capabilities
immediately.
Give your agent the tools it needs
Sign up for free and start with 1,000 credits. Discover, inspect, and call 10,000+ verified capabilities through one unified protocol. No lock-in. Credits never expire.
面向 AI Agent 的能力路由网络AI Agent 能力路由网络
通过统一的能力路由协议，发现、检查并调用经过验证的工具、API 和实时数据。
您的 Agent 用自然语言描述需求。QVeris 搜索 10,000+ 项能力，返回按成本、延迟和成功率排序的匹配结果。
在提交前查看任何能力的完整参数模式、计费规则和质量指标。零成本决策。
通过沙箱环境执行。返回结构化 JSON，包含执行 ID、计费详情和信用余额——完全可审计。
专为生产级 AI Agent 工作流打造
基础设施从第一天起就设计用于连接 Agent 与经过验证的真实世界能力。
面向 AI Agent 的能力路由层
现代 AI Agent 需要调用外部工具完成实际工作——市场数据、KYC 检查、文档解析、天气 API 等数千种。但每种工具都有各自的 API、认证方式、速率限制、错误处理和计费。集成少数几个尚可管理，集成几十个则成为拖慢团队的维护负担。
QVeris 通过一种 发现优先架构。您的 Agent 用自然语言描述所需能力，QVeris 从多个已验证提供商的 10,000+ 经过验证的工具中找出最佳匹配。一个协议。一个 API 密钥。减少每个提供商的集成工作。
它不是 LLM。不是 Agent 框架。它是将 Agent 连接到真实世界的路由层——发现、检查、调用，全部在一个统一流程中。
路由
发现。检查。调用。
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。
发现
您的 Agent 提交自然语言查询——"今日标普500涨跌股"、"对此实体进行 KYC 检查"或"从该 PDF 提取表格"。QVeris 搜索 10,000+ 项能力，返回排序列表，每项标注预估成本、平均执行时间、历史成功率和提供商名称。无需硬编码端点，无需预注册。
检查
在提交前，您的 Agent 检查任何候选能力的完整参数模式、使用示例、计费规则和实时质量指标。并列比较多个能力，选择最适合任务的一个。零成本、零风险。
调用
您的 Agent 用结构化参数调用所选能力。QVeris 在沙箱环境中执行，返回结构化 JSON——结果负载、唯一执行 ID、计费详情和剩余信用余额。每次调用从 Agent 到执行全程可追溯。
15+ 类别，10,000+ 经过验证的能力
从金融类能力到通用开发者工具，均来自不断增长的提供商网络。
金融数据
涵盖股票、外汇、商品和指数的实时及历史市场数据。专为量化工作流和交易 Agent 构建。
投资研究
收益数据、分析师共识、估值模型和基本面。为你的研究代理提供完整的数据基础。
风险与合规
KYC验证、制裁筛查和监管数据。专为需要合规感知能力的金融科技代理而构建。
加密与链上数据
区块链数据、DeFi指标、稳定币流动和钱包智能。支持加密和传统市场工作流。
另类信号
新闻情绪、社交媒体分析、事件驱动指标和宏观经济意外数据。超越标准数据集。
开发者工具
PDF解析、OCR、图像生成、天气、地理位置等。适用于任何代理工作流的通用能力。
按你的方式集成——无框架锁定
QVeris在代理运行的地方与其对接。REST、Python、MCP或CLI——选择适合你技术栈的接口。
REST API
标准HTTP接口位于 api.qveris.ai/v1. Three endpoints:
discover, inspect, call. Works from any language, any runtime.
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，即刻开始发现。
MCP 服务器
原生支持 模型上下文协议。如果你的 Agent 使用 MCP——例如 Claude Code、Cursor 等——QVeris 可以通过工具发现工作流提供 10,000+ 个可发现工具。
CLI
终端原生工作流，适用于脚本编写、CI/CD和本地开发。无需离开命令行即可发现、检查和调用。
专为生产代理工作流构建
QVeris专为在生产环境中运行代理的团队设计，而非仅用于原型开发。每次能力调用都在沙箱环境中执行，提供结构化输出、完整参数验证和一致的JSON响应，你的代理可可靠解析。
可审计性： 每次调用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。专为调试、合规和成本分析而构建。
可观测性： 监控每个能力、每个会话和每个代理的成功率、执行延迟和信用消耗。基于数据决定你的代理依赖哪些能力。
可靠性： 99.99%可用性，p95延迟低于500毫秒。RBAC访问控制。无单一提供商依赖——能力来自不断增长的提供商网络。
团队使用QVeris构建什么
从金融服务到智能体SaaS，QVeris为生产级AI Agent背后的工具调用层提供动力。
金融AI Agent
通过一个API为交易、研究和咨询代理提供按需访问市场数据、基本面和另类信号的能力。无需逐一集成供应商。
投资研究自动化
自动化收益分析、同行比较和宏观研究。代理随着研究问题的演变动态发现并调用正确的数据源。
合规工作流
将KYC、制裁筛查和监管检查嵌入代理工作流。每次调用都有完整审计追踪。专为受监管环境构建。
市场与加密智能
用实时链上数据、DeFi指标、情绪信号和跨资产市场智能驱动仪表盘和监控代理。
智能体SaaS产品
构建 AI 原生 SaaS 产品，让智能体在运行时动态发现和调用能力。将工具集成层外包给 QVeris，加速交付。
研究与分析智能体
通用研究智能体，通过统一的发现-检查-调用流程，从金融、法律、技术等多种来源获取数据。
QVeris 对比
QVeris 位于技术栈的不同层级。以下说明它与其他方案的关系。
| 能力 | QVeris | 手动API集成 | 通用 API 市场 | 简单工具目录 |
|---|---|---|---|---|
| 工具发现 | 自然语言，动态 | 必须预先了解每个 API | 关键词搜索，人为驱动 | 按类别手动浏览 |
| 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 | 单一 API 覆盖所有能力 | N种不同API、认证、模式 | 聚合但深度有限 | 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 |
| Agent 原生设计 | 从第一天起为智能体构建 | 为人类开发者构建 | 为人类开发者构建 | 为人类浏览构建 |
| 审计跟踪 | execution_id, search_id, session_id | 因提供商而异 | 仅限于计费日志 | 无 |
| MCP 支持 | 原生MCP服务器 | 无 | 无 | 无 |
常见问题
什么是能力路由网络？
QVeris 如何将我的 AI 智能体连接到外部 API？
/discover endpoint. QVeris returns ranked capability
matches with cost, latency, and success rate. Your agent then
inspects and calls the chosen capability — all through one
protocol. No per-API integration code required.
QVeris 与 LLM 函数调用有何不同？
QVeris 如何与 MCP 服务器协同工作？
QVeris 的价格是多少？
QVeris 提供哪些能力？
QVeris 适合生产环境使用吗？
如何开始将 QVeris 与我的 AI 智能体配合使用？
pip install qveris) or call
the REST API directly. Run your first discover query. You can also
try the Playground with no account required to explore live
capabilities immediately.