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QVeris · Stock Alert WorkflowQVeris · 股价预警工作流Use Case for AI AgentsAI Agent 应用场景

Stock Price Alert Agent with Real-Time APIs使用实时 API 构建股票价格预警智能体

Build an AI agent that monitors real-time stock prices, quote changes, WebSocket streams, thresholds, volume spikes, and news context through QVeris-supported capability routing.构建一个 AI Agent，通过 QVeris 支持的能力路由监控实时股价、报价变化、WebSocket 流、阈值、成交量飙升和新闻背景。

Price movement · Threshold rules · Agent reasoning · Alert delivery价格变动 · 阈值规则 · Agent 推理 · 预警投递

Find Stock Alert Tools in QVeris在 QVeris 中查找股票预警工具Test an Alert Workflow在 QVeris 中测试预警工作流
Real-Time实时实时
Prices价格
WebSocket
Streams流数据
Threshold阈值
Alerts警报
QVeris
Support支持
✓ Event-Driven Workflow
✓ 事件驱动工作流
TL;DR
Problem: Stock price alerts are easy to describe but hard to build reliably. An AI agent needs real-time prices, quote data, threshold rules, WebSocket streams, volume context, news signals, retry logic, and alert delivery — all while handling provider schemas, rate limits, and source timestamps.问题：股价警报描述起来简单，但可靠地构建却很困难。AI Agent 需要实时价格、报价数据、阈值规则、WebSocket 流、成交量背景、新闻信号、重试逻辑和警报交付 — 同时还要处理提供商 Schema、速率限制和来源时间戳。
Solution: A stock price alert agent connects market data, WebSocket streams, quote APIs, news context, and alerting tools into one event-driven workflow. It monitors price conditions, validates source data, adds context, and sends structured alerts when rules are triggered.解决方案：股价警报 Agent 将市场数据、WebSocket 流、报价 API、新闻背景和警报工具连接到一个事件驱动的工作流中。它监控价格条件，验证源数据，添加上下文，并在规则触发时发送结构化警报。
Result: You get a stock alert workflow that uses QVeris to discover, inspect, and call market data, WebSocket, quote, news, and alerting capabilities through one unified routing layer.结果：您将获得一个股票警报工作流，使用 QVeris 通过统一路由层发现、检查和调用市场数据、WebSocket、报价、新闻和警报能力。

What Is a Stock Price Alert Agent?什么是股价警报 Agent？

A Stock Price Alert Agent is an AI agent that monitors stocks or watchlists and triggers alerts when user-defined market conditions are met — price thresholds, percent moves, volume spikes, spread changes, or news events. It detects conditions, validates source data and timestamps, adds context from related signals, and delivers structured alerts. It is an event monitoring workflow, not a trading bot or investment advisor.股价警报 Agent 是一个 AI Agent，监控股票或观察列表，并在用户定义的市场条件满足时触发警报 — 价格阈值、百分比变动、成交量飙升、价差变化或新闻事件。它检测条件、验证源数据和时间戳、从相关信号添加上下文，并交付结构化警报。它是一个事件监控工作流，而非交易机器人或投资顾问。

The agent monitors multiple signal dimensions: latest price and percent change (has the stock moved meaningfully?), bid/ask and spread (is liquidity changing?), volume (is the move confirmed by activity?), WebSocket events (continuous streaming for lower-latency detection), market status (pre-market, regular hours, after-hours), and news context (is there a headline explaining the move?). Each alert preserves source timestamps, symbols, and market context.Agent 监控多个信号维度：<strong>最新价格和百分比变动</strong>（股票是否有意义地变动了？）、<strong>买卖价差</strong>（流动性是否在变化？）、<strong>成交量</strong>（波动是否被交易活动确认？）、<strong>WebSocket 事件</strong>（持续流式传输以降低延迟检测）、<strong>市场状态</strong>（盘前、常规时段、盘后）和<strong>新闻背景</strong>（是否有解释波动的头条新闻？）。每个警报保留来源时间戳、代码和市场背景。

The core insight: a raw price change is just a number. A useful alert adds context — how large is this move relative to recent ranges? Is volume confirming it? Is there related news? Is this happening during regular market hours? An alert agent that only reports "AAPL moved 3%" is incomplete. An alert agent that reports "AAPL moved 3.2% intraday, above its 30-day average daily range, with volume 1.8× average and related news detected" provides actionable monitoring context.核心洞察：原始价格变动只是一个数字。有用的警报添加上下文 — 这次波动相对于近期区间有多大？成交量是否确认了它？是否有相关新闻？这是在常规交易时段发生的吗？只报告「AAPL 涨了 3%」的警报 Agent 是不完整的。报告「AAPL 盘中上涨 3.2%，超过其 30 天平均日波动区间，成交量为均值的 1.8 倍，并检测到相关新闻」的警报 Agent 提供了可操作的监控上下文。

Stock Price Alerts vs Trading Signals股价警报 vs 交易信号

Workflow工作流工作流Main Purpose主要用途Example Output示例输出What It Should Avoid避免的问题
Stock Price Alert Agent股价预警 AgentDetect price/market conditions and notify users检测价格或市场条件并通知用户Alert, event brief, JSON payload预警、事件简报或 JSON 负载Buy/sell recommendations买卖建议
Trading Signal SystemGenerate trade ideas or execution signals生成交易想法或执行信号Signal, order instruction, strategy output信号、订单指令或策略输出Requires compliance, risk controls, authorization需要合规、风险控制与明确授权
Portfolio Monitoring Agent投资组合监控 AgentMonitor broader portfolio context监控更广泛的投资组合背景Daily brief, risk alert, exposure summary每日简报、风险预警与敞口摘要Portfolio advice without authorization未经授权的投资组合建议
This page focuses on alerts and event monitoring. It does not provide trading recommendations, execution logic, or investment advice. For portfolio-level monitoring, see the Portfolio Monitoring Agent.本页面专注于警报和事件监控。不提供交易建议、执行逻辑或投资建议。对于投资组合级别的监控，请参阅投资组合监控 Agent。

Why AI Agents Need Real-Time Alert Workflows为什么 AI Agent 需要实时警报工作流

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1. REST Polling Can Miss Fast Moves1. REST 轮询可能错过快速波动1. REST 轮询可能错过快速波动

A REST API polled every 60 seconds can miss a price spike that happens and reverses in 30 seconds. WebSocket streaming delivers events as they happen — critical for time-sensitive alert conditions.每 60 秒轮询一次的 REST API，可能错过在 30 秒内出现并回落的价格尖峰。WebSocket 流会在事件发生时立即推送，这对时效敏感的预警条件至关重要。

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2. Price Alone Is Not Enough Context2. 仅有价格不足以构成完整背景

A stock quote API tells an agent the price. An alert agent cross-references with volume, historical range, news, and market status to determine whether the move is meaningful — not just whether a number crossed an arbitrary line.股票报价 API 能告诉 Agent 当前价格。预警 Agent 还会结合成交量、历史区间、新闻和市场状态，判断波动是否具有意义，而不只是检查某个数字是否越过任意阈值。

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3. Alerts Need Timestamp Validation

An alert without a verified timestamp is unreliable. The agent must confirm when the price event occurred, whether the data source is current, and whether the market was open — before triggering a notification.没有经过验证的时间戳，预警就不可靠。触发通知前，Agent 必须确认价格事件发生时间、数据源是否最新，以及当时市场是否处于交易时段。

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4. News Context Explains Price Moves4. 新闻背景可以解释价格波动

A 5% drop with an earnings miss is different from a 5% drop with no news. The agent should check for related headlines and include them in the alert — turning a raw number into an explained event.财报不及预期引发的 5% 下跌，与没有新闻背景的 5% 下跌意义不同。Agent 应检查相关新闻并加入预警，把原始数字转化为有解释的事件。

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5. Multi-Symbol Watchlists Need Scalable Monitoring5. 多标的观察列表需要可扩展监控

Polling 50 symbols every 30 seconds burns API quota fast. WebSocket subscriptions handle multi-symbol monitoring efficiently — only sending events when something changes.每 30 秒轮询 50 个标的会迅速消耗 API 额度。WebSocket 订阅只在发生变化时推送事件，更适合多标的监控。

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6. Source-Backed Explanations6. 基于来源的解释

An alert that says "NVDA crossed $500" should include the source timestamp, the provider, the market session, and any related context. Source traceability makes alerts auditable and trustworthy.“NVDA 突破 500 美元”的预警应包含来源时间戳、提供商、交易时段和相关背景。来源可追踪性让预警能够审计并更值得信任。

Data Capabilities a Stock Price Alert Agent Needs警报 Agent 需要的数据能力

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1. Real-Time Price1. 实时价格

Latest price, percent change, session movement, market status. The core signal every alert agent monitors.

QVeris Support: discover market data → inspect latency → call → validate timestamps.最新价格、涨跌幅、交易时段变动和市场状态，是每个预警 Agent 监控的核心信号。QVeris 支持：发现市场数据 → 检查延迟 → 调用 → 验证时间戳。

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2. WebSocket Stream

Continuous monitoring, lower-latency detection, multi-symbol event streams. See the WebSocket guide.

QVeris Support: discover streaming → inspect schema and caps → subscribe.持续监控、低延迟检测和多标的事件流。参阅 WebSocket 指南。QVeris 支持：发现流式能力 → 检查 Schema 与限制 → 订阅。

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3. Stock Quote Data3. 股票报价数据

Bid, ask, spread, volume. Quote-level context for understanding why a price moved. See the quote API guide.

QVeris Support: discover quote capabilities → inspect fields → call.买价、卖价、价差和成交量，为理解价格波动原因提供报价层面的背景。参阅报价 API 指南。QVeris 支持：发现报价能力 → 检查字段 → 调用。

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4. Historical Price Context4. 历史价格背景

Compare current move against past volatility, average daily range, and typical behavior. Historical price guide.

QVeris Support: discover historical → inspect adjusted close → call.将当前波动与历史波动率、平均日内区间和典型表现进行比较。参阅历史价格指南。QVeris 支持：发现历史数据 → 检查复权收盘价 → 调用。

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5. Financial News5. 金融新闻

Headlines, sentiment, event context — explains whether a price move has news behind it.

QVeris Support: discover news → inspect sentiment fields → call.新闻标题、情绪和事件背景，可解释价格波动背后是否存在新闻因素。QVeris 支持：发现新闻能力 → 检查情绪字段 → 调用。

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6. Technical Indicators

Optional signal context — moving averages, RSI, MACD, volatility. See the indicators guide.

QVeris Support: discover indicators → inspect formulas → call.可选信号背景包括移动平均线、RSI、MACD 和波动率。参阅指标指南。QVeris 支持：发现指标能力 → 检查公式 → 调用。

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7. Alert Delivery7. 预警投递

Email, Slack, webhook, dashboard, or structured JSON notifications.

QVeris Support: discover alerting → inspect output formats → call → validate delivery.通过电子邮件、Slack、Webhook、仪表板或结构化 JSON 通知投递预警。QVeris 支持：发现预警能力 → 检查输出格式 → 调用 → 验证投递。

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8. Watchlist Input

User-defined symbols, thresholds, and monitoring rules. The agent's configuration layer.

QVeris Support: discover portfolio/watchlist capabilities → inspect → call.用户定义的标的、阈值和监控规则，构成 Agent 的配置层。QVeris 支持：发现投资组合/观察列表能力 → 检查 → 调用。

QVeris Support means this workflow can be structured around capabilities discoverable through QVeris. Confirm exact capability availability during Inspect before production use.QVeris Support 意味着此工作流可以围绕通过 QVeris 可发现的能力构建。生产使用前请在 Inspect 期间确认确切的能力可用性。

Stock Price Alert Workflow股价警报工作流

1

Define Watchlist & Alert Conditions定义观察列表与预警条件

User defines tickers and alert rules: price above/below threshold, percent change > X%, volume spike, spread widening, crossing moving average, or news event detected. Each condition has a threshold, operator, and monitoring window.用户定义股票代码和预警规则：价格高于或低于阈值、涨跌幅超过 X%、成交量飙升、价差扩大、穿越移动平均线或检测到新闻事件。每个条件都包含阈值、运算符和监控窗口。

2

Discover Required Capabilities发现所需能力发现所需能力

Use QVeris Discover to find real-time price, WebSocket stream, quote data, financial news, historical price, technical indicator, and alert delivery capabilities matching the symbols and conditions.使用 QVeris Discover 查找符合标的和条件的实时价格、WebSocket 数据流、报价、金融新闻、历史价格、技术指标与预警投递能力。

3

Inspect Schemas Before Calling调用前检查 Schema调用前检查 Schema

Check input format, cost, latency, provider notes, market coverage, and output fields. Verify real-time vs delayed data, WebSocket subscription caps, and symbol coverage before connecting.检查输入格式、成本、延迟、提供商说明、市场覆盖和输出字段；连接前确认数据是实时还是延迟，以及 WebSocket 订阅上限和标的覆盖范围。

4

Connect & Monitor连接并监控

Subscribe to WebSocket streams for continuous monitoring, or poll REST endpoints on a defined interval. Pull quote data for bid/ask context. Check news endpoints for related headlines.订阅 WebSocket 数据流持续监控，或按设定周期轮询 REST 端点；获取报价以补充买卖盘背景，并查询新闻端点寻找相关新闻。

5

Evaluate Conditions评估触发条件

Compare incoming price/quote/volume data against defined thresholds. Check market status (pre-market, regular, after-hours). Validate timestamps before triggering evaluation logic.把实时价格、报价和成交量与设定阈值比较，并检查盘前、正常交易或盘后状态；触发判断逻辑前先验证时间戳。

6

Add Context补充上下文

If a condition is triggered, pull historical range context, check for related news, compare volume against average, and note the market session. Context turns a raw alert into an explained event.条件触发后，补充历史区间、相关新闻、成交量与均值对比以及交易时段。背景信息能把原始预警转化为有解释的事件。

7

Validate & Deliver Alert验证并投递预警

Verify timestamps, source URLs, symbol mapping, and data freshness. Send structured alert via email, Slack, webhook, dashboard, or JSON — with full source traceability and a clear "monitoring alert, not investment advice" disclaimer.核对时间戳、来源链接、代码映射和数据新鲜度，再通过邮件、Slack、Webhook、仪表盘或 JSON 投递结构化预警，并保留完整来源追踪和“仅为监控预警，并非投资建议”的声明。

Stock Price Alert Agent — Event-Driven Monitoring WorkflowStock Price Alert Agent — Event-Driven Monitoring Workflow

Example Stock Price Alert Agent Output股价预警 Agent 输出示例示例警报 Agent 输出

⚠ Price Threshold Triggered⚠ 已触发价格阈值
Symbol:股票代码：
NVDA
Condition:触发条件：
Price moved >3% intraday日内涨幅超过 3%
Current Price:当前价格：
$142.50 (+3.2%)
Monitoring Window:监控时段：
Today, regular hours今日常规交易时段

Signals Checked: Real-time price · Quote data · Volume (1.8× avg) · Recent news (detected) · Historical volatility context · Market status (open)已检查信号：实时价格 · 报价数据 · 成交量（平均值的 1.8 倍）· 近期新闻（已检测）· 历史波动率背景 · 市场状态（开市）

Agent Alert: NVDA crossed the configured price movement threshold. The move appears larger than the recent daily range. Related news was detected during the same monitoring window. Volume is elevated, confirming the move. This is a monitoring alert only — not a trade recommendation.Agent 预警：NVDA 已越过配置的价格波动阈值。本次波动似乎高于近期日内区间；同一监控窗口内检测到相关新闻，且成交量上升，进一步确认了这次波动。本信息仅为监控预警，不构成交易建议。

Recommended Follow-up: Review related news · Check earnings or filings · Generate deeper stock research brief if needed · Continue monitoring for follow-up alerts建议后续操作：查看相关新闻 · 检查财报或监管文件 · 必要时生成更深入的股票研究简报 · 继续监控后续预警

Illustrative example. Not real market data or investment advice. All alert outputs should include source timestamps and disclaimers.示意性示例。非真实市场数据或投资建议。所有警报输出应包含来源时间戳和免责声明。

QVeris Support for Stock Price Alert AgentsQVeris 对股价警报 Agent 的支持

Stock alert workflows need real-time prices, WebSocket streams, quote data, historical context, news, technical indicators, and alert delivery — each potentially from different providers. QVeris structures this through a unified Discover → Inspect → Call → Validate → Report pattern:股票警报工作流需要实时价格、WebSocket 流、报价数据、历史背景、新闻、技术指标和警报交付 — 每个可能来自不同的提供商。QVeris 通过统一的 <strong>Discover → Inspect → Call → Validate → Report</strong> 模式构建此工作流：

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Discover

Find real-time market data, WebSocket, quote, news, technical indicator, and alerting capabilities across providers — without searching each provider's docs individually.跨提供商查找实时市场数据、WebSocket、报价、新闻、技术指标和预警能力，无需逐一查询每家提供商文档。

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Inspect

Review schema, cost, latency, provider notes, and output examples before calling. Verify real-time vs delayed, subscription caps, and symbol coverage.调用前检查 Schema、成本、延迟、提供商说明和输出示例，并确认实时/延迟属性、订阅上限和标的覆盖范围。

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Call

Execute capabilities through a unified interface. Consistent field names regardless of provider — essential when an alert condition checks multiple signal sources.通过统一接口执行能力，无论由哪家提供商响应都使用一致字段名；当预警条件需要检查多个信号源时，这一点尤其关键。

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Validate & Report

Check timestamps, market hours, source URLs, and data freshness. Generate an alert card, webhook payload, or JSON event with full source traceability.检查时间戳、交易时段、来源链接和数据新鲜度，生成带完整来源追踪的预警卡片、Webhook 负载或 JSON 事件。

stock_price_alert_agent.json — Terminal
// Stock price alert agent — conceptual workflow pattern { "workflow": "stock_price_alert_agent", "qveris_support": "supported", "symbols": ["AAPL", "NVDA", "MSFT"], "conditions": [ {"type": "percent_change", "operator": ">", "value": 3, "window": "intraday"}, {"type": "price_cross", "operator": ">", "value": 500} ], "capabilities": [ "market_live_price", "stock_quote", "websocket_market_stream", "historical_prices", "financial_news", "technical_indicators", "alert_delivery" ], "runtime_pattern": ["discover", "inspect", "call", "validate", "report"], "output": "stock_price_alert", "disclaimer": "Monitoring workflow only. Not investment advice." }

QVeris Support does not mean QVeris is the original source of every stock price or market data stream. QVeris is a capability routing layer — it helps agents discover, inspect, and call relevant external capabilities through a unified workflow. Read the REST API reference → or view pricing →.QVeris Support 并不意味着 QVeris 是每个股票价格或市场数据流的原始来源。QVeris 是能力路由层 — 它帮助 Agent 通过统一工作流发现、检查和调用相关外部能力。阅读 REST API 参考 → 或 查看定价 →。

Getting Started Checklist快速上手指南

☐Define symbols, watchlists, or monitored assets定义代码、观察列表或监控资产
☐Choose alert conditions: price threshold, percent move, volume spike, spread change, or news event选择警报条件：价格阈值、百分比变动、成交量飙升、价差变化或新闻事件
☐Decide whether the agent needs REST polling, WebSocket streaming, or both确定 Agent 需要 REST 轮询、WebSocket 流式传输还是两者都需要
☐Define alert destinations: email, Slack, webhook, dashboard, or JSON output定义警报目的地：邮件、Slack、Webhook、仪表盘或 JSON 输出
☐Use QVeris Discover to find market data, quote, WebSocket, news, and alerting capabilities使用 QVeris Discover 查找市场数据、报价、WebSocket、新闻和警报能力
☐Use Inspect before Call to verify schema, cost, latency, coverage, and provider notes在调用前使用 Inspect 验证 Schema、成本、延迟、覆盖范围和提供商说明
☐Preserve source timestamps, symbols, market status, and source links in every alert在每个警报中保留来源时间戳、代码、市场状态和来源链接
☐Add validation for missing data, delayed data, market hours, and duplicated events添加对缺失数据、延迟数据、交易时间和重复事件的验证
☐Generate monitoring alerts — not investment recommendations生成监控警报 — 而非投资建议
☐Add disclaimer language to every alert output在每个警报输出中添加免责声明

QVeris is a capability routing layer. Market data from third-party providers. Monitoring alerts — not investment advice.QVeris 是能力路由层。市场数据来自第三方提供商。监控警报 — 并非投资建议。

Build an Event-Driven Stock Alert Agent构建事件驱动的股票警报 Agent

QVeris helps your agent discover, inspect, and call market data, WebSocket, quote, news, and alerting capabilities through one unified routing layer. Discover and Inspect are free forever.QVeris 帮助您的 Agent 通过统一路由层发现、检查和调用市场数据、WebSocket、报价、新闻和警报能力。Discover 和 Inspect 永久免费。

Test the Stock Alert Workflow →Read the REST API Reference

Stock Price Alert Agent FAQ股价警报 Agent 常见问题

What is a Stock Price Alert Agent?什么是股票价格预警 Agent？什么是股价警报 Agent？
A Stock Price Alert Agent is an AI agent that monitors symbols or watchlists and sends alerts when user-defined market conditions are met — price thresholds, percent moves, volume spikes, spread changes, or news events. It detects conditions, validates source data and timestamps, adds context from related signals, and delivers structured alerts to email, Slack, webhooks, dashboards, or as JSON payloads.股价警报 Agent 是一个 AI Agent，监控股票代码或观察列表，并在用户定义的市场条件满足时发送警报 — 价格阈值、百分比变动、成交量飙升、价差变化或新闻事件。它检测条件、验证源数据和时间戳、从相关信号添加上下文，并通过邮件、Slack、Webhook、仪表盘或 JSON 负载交付结构化警报。
Does a stock alert agent need WebSocket data?股票预警 Agent 需要 WebSocket 数据吗？
Not always. REST polling can work for slower checks — hourly or daily monitoring. WebSocket streams are better for continuous monitoring, lower-latency alerts, and multi-symbol event-driven workflows where polling dozens of symbols every few seconds wastes API calls. See the WebSocket stock API guide for streaming architecture details.不一定。REST 轮询适用于较慢的检查 — 每小时或每日监控。WebSocket 流更适合持续监控、低延迟警报和多代码事件驱动工作流，其中每隔几秒轮询数十个代码会浪费 API 调用。请参阅 WebSocket 股票 API 指南了解流式架构详情。
What APIs does a stock price alert agent need?股票价格预警 Agent 需要哪些 API？
It typically needs real-time price APIs for latest quotes, stock quote APIs for bid/ask and volume context, WebSocket market streams for continuous monitoring, historical price APIs for volatility and range context, financial news APIs for event explanations, and alert delivery tools for notifications. See the Data Capabilities section for the full breakdown.它通常需要实时价格 API（最新报价）、股票报价 API（买卖价差和成交量背景）、WebSocket 市场流（持续监控）、历史价格 API（波动率和区间背景）、金融新闻 API（事件解释）和警报交付工具（通知）。请参阅数据能力部分了解完整说明。
Can this agent recommend trades?这个 Agent 可以推荐交易吗？
No. This page focuses on monitoring and alerting — detecting conditions and delivering structured notifications. It does not provide buy, sell, hold, or trading recommendations. Trading decisions require separate authorization, compliance infrastructure, risk controls, and professional oversight that are beyond the scope of an alert workflow.不能。本页面专注于监控和警报 — 检测条件并交付结构化通知。不提供买入、卖出、持有或交易建议。交易决策需要单独的授权、合规基础设施、风险控制和专业监督，这些超出了警报工作流的范围。
How does QVeris help with stock price alerts?QVeris 如何帮助构建股价预警？QVeris 如何帮助构建股票价格预警？
QVeris helps agents discover relevant market data, WebSocket, quote, news, and alerting capabilities across providers, inspect schemas and provider details before calling, and call selected capabilities through a unified workflow — rather than integrating each data source separately. QVeris is a capability routing layer. Discover and Inspect are free forever.QVeris 帮助 Agent 跨提供商发现相关市场数据、WebSocket、报价、新闻和警报能力，在调用前检查 Schema 和提供商详细信息，并通过统一工作流调用所选能力 — 而非单独集成每个数据源。QVeris 是能力路由层。Discover 和 Inspect 永久免费。
Is this investment advice?这是投资建议吗？这是投资建议吗？
No. This page is for developer education and AI agent workflow planning. It does not provide financial, investment, legal, tax, or accounting advice. All alert outputs should include source timestamps, data provenance, and appropriate disclaimers before use in any decision.不。本页面仅供开发者教育和 AI Agent 工作流规划使用。不提供金融、投资、法律、税务或会计建议。所有警报输出在用于任何决策之前应包含来源时间戳、数据来源和适当的免责声明。

References & Sources

  1. QVeris REST API Reference — qveris.ai/docs/rest-apiQVeris REST API 参考 — qveris.ai/docs/rest-api
  2. QVeris Pricing — qveris.ai/pricing
  3. Real-Time Stock Price API for AI Agents面向 AI Agent 的实时股价 API
  4. WebSocket Stock API for AI Agents面向 AI Agent 的 WebSocket 股票 API
  5. Stock Quote API for AI Agents面向 AI Agent 的股票报价 API
  6. Historical Stock Price API for AI Agents面向 AI Agent 的历史股价 API
  7. Technical Indicator API for AI Agents
  8. Stock API Free Comparison免费股票 API 对比
  9. Portfolio Monitoring Agent