Market Data APIs for AI Agents
Compare 7 market data APIs for AI agents across equities, crypto, forex, options, latency, free tiers, and integration patterns.
What is a Market Data API for AI Agents?
A market data API is a service that provides programmatic access to financial market information — stock quotes, cryptocurrency prices, forex rates, options chains, and macroeconomic indicators. For AI agents, these APIs serve as the data layer that feeds structured, machine-readable market information into agent reasoning loops.
The core workflow: your AI agent sends a query (a ticker symbol, asset pair, or data type), and the API returns structured market data — current price, volume, historical OHLCV, bid-ask spread, and additional metadata. The critical differentiators for AI agent use cases are WebSocket support (persistent streaming connections), asset class breadth (how many markets one API covers), and free tier generosity (how much data you can access before paying).
Market data APIs serve two distinct populations: human-facing financial applications (trading dashboards, portfolio trackers) and AI agent pipelines (autonomous systems that consume data, evaluate conditions, and trigger actions). This comparison focuses on the AI agent use case — where multi-provider integration complexity, response format normalization, and rate limit management are the real bottlenecks.
7 Market Data APIs Compared (2026)
The seven providers below span from free developer tiers to enterprise institutional feeds. The comparison focuses on dimensions that matter for AI agent integration: asset class coverage, free tier limits, real-time latency, WebSocket availability, and AI agent SDK support.
| Provider | Asset Classes | Free Tier | Real-Time Latency | WebSocket | AI Agent SDK | Starting Price |
|---|---|---|---|---|---|---|
| Massive (formerly Polygon.io) | Stocks, Options, Forex, Crypto | Free Basic (EOD) | Delayed or real-time by plan | Yes (paid) | REST/WebSocket | Free; paid from $29/mo |
| Alpaca | Stocks, Crypto | Genuinely Free | Real-time (US stocks) | Yes | Python, JS | Free |
| Finnhub | Stocks, Forex, Crypto | Free access (limits vary) | Real-time (limited) | Yes (basic) | REST | Free |
| Alpha Vantage | Stocks, Forex, Crypto, Macro | Limited Free (25/day) | Delayed 15min | No | REST | Free |
| Twelve Data | Stocks, Forex, Crypto, ETFs | Limited Free (800/day) | Delayed (free) | No (paid) | Python, JS | Free |
| Bloomberg | Stocks, Bonds, Forex, Commodities | None | <1ms | Yes | B-PIPE | Enterprise quote |
| Databento | Stocks, Options, Futures | $125 trial credits | Real-time | Yes | Python, Rust | Free |
The comparison reveals a clear market structure. Alpaca offers useful free IEX-based US equity access, while Finnhub provides broad developer-oriented endpoints with account- and endpoint-specific limits. Massive (formerly Polygon.io) spans four asset classes, with free end-of-day access and delayed or real-time data on paid plans. Databento brings institutional data quality through usage-based pricing and trial credits. Bloomberg B-PIPE remains an enterprise option sold by quote. If an agent combines providers, it must preserve venue, timestamp, entitlement and fallback semantics rather than treating every quote as interchangeable. See the market data architecture guide for that integration layer.
Provider Deep Dives
1. Massive (formerly Polygon.io) — Multi-Asset US Market Data
- REST and WebSocket access for trades, quotes and aggregates, with entitlements determined by the selected plan
- Four asset classes covered: stocks, options, forex and crypto
- Free Stocks Basic plan includes end-of-day data, five API calls per minute and two years of history; paid stock plans add delayed or real-time access
- The $29 Starter and $79 Developer stock plans remain 15-minute delayed; real-time US stock data begins on the $199 Advanced plan
- Market-data licensing and redistribution rights still need separate review for customer-facing agent outputs
2. Alpaca — Best Free Tier for Equities
- Free real-time access to the IEX feed, documented at roughly 2.5% of US market volume
- Native Python and JavaScript SDKs simplify AI agent integration
- REST snapshots and WebSocket streaming support research, monitoring and trading-adjacent workflows
- Free equity data is the IEX subset, not the full consolidated SIP feed; full-market coverage requires a paid entitlement
- Limited to stocks and crypto — no forex, options or macro data
3. Finnhub — WebSocket on Free Tier
- REST and WebSocket interfaces support stocks, forex and crypto workflows
- Developer-friendly endpoints cover quotes, company data, news and alternative datasets
- Rate limits are exposed by account and endpoint, making them measurable in an agent's execution budget
- Free access, real-time entitlements and endpoint limits are not uniform; verify the current account dashboard and response headers before production use
- Commercial licensing and exchange coverage vary by dataset, so “free API key” should not be treated as a blanket production entitlement
4. Alpha Vantage — The Accessible Entry Point
- Broadest free asset coverage: stocks, forex, crypto, and macroeconomic indicators in one API key
- 50+ technical indicators included — SMA, EMA, RSI, MACD, Bollinger Bands, and more
- Simple REST API with excellent getting-started documentation
- Severely rate-limited free tier: only 25 requests per day — insufficient for production AI agents
- No WebSocket support; all data is REST-based with 15-minute delay on free tier
5. Twelve Data — Broadest Free Coverage
- 800 requests/day on free tier — the highest daily limit among free REST APIs
- Covers stocks, forex, crypto, and ETFs across 50+ exchanges worldwide
- 130+ technical indicators accessible via API; Python and JavaScript SDKs available
- WebSocket streaming is paid-only; free tier is REST with delayed data
- Real-time data requires a paid plan starting at $8/month
6. Bloomberg — Enterprise Benchmark
- Sub-millisecond latency with B-PIPE — the gold standard for institutional market data
- Comprehensive coverage: stocks, bonds, forex, commodities, derivatives, and macroeconomic data
- Industry-standard data quality with full audit trail and compliance support
- B-PIPE is an enterprise product sold through Bloomberg sales; public terminal pricing is not a reliable B-PIPE starting-price proxy
- Deployment, entitlements and data licensing require institutional procurement and specialized integration knowledge
7. Databento — Best for Institutional Data
- New users receive $125 in historical-data credits for evaluation rather than a permanent monthly message allowance
- Python, C++ and Rust client options support modern programmatic workflows
- Normalized real-time and historical schemas cover exchange-traded datasets, with costs varying by dataset and usage
- No forex or crypto data; focused on traditional exchange-traded instruments
- Usage-based pricing can be unpredictable for high-volume AI agent workloads
Asset Class Coverage Breakdown
Different AI agent use cases require different asset classes. Here is which provider leads for each asset class, with both free and paid recommendations.
| Asset Class | Best Free Option | Best Paid Option | QVeris Coverage |
|---|---|---|---|
| US Equities | Alpaca | Polygon.io | ✓ |
| Crypto | Finnhub | Databento | ✓ |
| Forex | Alpha Vantage | Polygon.io | ✓ |
| Options | Databento | Polygon.io | ✓ |
| Macro/Economic | Alpha Vantage | Bloomberg | ✓ |
| ETFs | Twelve Data | Polygon.io | ✓ |
No single provider leads across all asset classes — which is why AI agent teams often end up managing multiple API keys. A unified capability routing layer abstracts away this multi-provider complexity, letting your agent query market data without knowing which underlying provider serves each asset class.
Free Tier Comparison for AI Agent Development
Free tiers are critical for AI agent prototyping. Here is how the providers stack up on daily limits, real-time access, and commercial use terms — the three dimensions that matter most when you are building an agent before paying for data.
| Provider | Daily Limit | Rate Limit | Real-Time on Free? | Credit Card Required? | Commercial Use? |
|---|---|---|---|---|---|
| Alpaca | No daily quota stated | 200 req/min | Yes — IEX subset | No | Yes |
| Finnhub | Varies by account/endpoint | Check dashboard and headers | Dataset-dependent | No | Personal only |
| Twelve Data | 800 calls/day | 8/min | No (15min delay) | No | Personal only |
| Alpha Vantage | 25 calls/day | 5/min | No (15min delay) | No | Personal only |
| Databento | $125 historical credits | Usage-based | Trial/entitlement-dependent | Yes | Yes (with license) |
| Massive (formerly Polygon.io) | Free Basic: 5 req/min | 5/min on Basic | No — EOD on Basic | No for Basic | Yes (paid plans) |
| Bloomberg | None (paid only) | N/A | Yes (paid) | Required | Yes (paid plans) |
Key takeaway: Alpaca is the only provider with a genuinely unrestricted free tier suitable for production AI agents. Finnhub and Twelve Data offer the best free REST options if you can stay within daily limits. Databento's message-based model is innovative but requires a credit card to start. For most AI agent developers, the free tier journey starts with Alpaca (US equities) and expands to paid tiers as asset class needs grow.
Latency and Real-Time Data for AI Agents
For AI agents that make time-sensitive decisions — price alerts, arbitrage detection, or earnings-triggered workflows — data latency is a critical factor. Here is how the providers compare on real-time data delivery:
Sub-Millisecond Tier
Bloomberg B-PIPE delivers <1ms latency through direct exchange colocation and proprietary network infrastructure. This is institutional-grade performance designed for high-frequency trading desks, not typical AI agent workloads. For most agent use cases, this level of latency is overkill — your LLM reasoning loop adds far more latency than the data feed.
WebSocket Streaming Tier
Polygon.io (~10ms), Alpaca (real-time US), Finnhub (real-time), and Databento (real-time) all provide WebSocket streaming suitable for AI agent use cases. These providers push data to your agent as events happen, eliminating the latency and API budget cost of continuous REST polling.
REST Polling Tier
Twelve Data (delayed free, real-time paid) and Alpha Vantage (15min delayed free) are REST-only on free tiers. For AI agents that poll on a schedule — hourly portfolio checks, daily screener runs — REST polling is sufficient and simpler to implement than persistent WebSocket connections.
AI Agent Latency Reality Check
The dominant latency source in most AI agent pipelines is the LLM inference step (500ms–5s), not the market data feed. For agents using QVeris CLI, data calls execute as subprocess invocations that bypass the LLM context window entirely — the routing layer returns structured data directly without injecting tool schemas into every prompt.
Why AI Agents Need a Unified Market Data Layer
The multi-provider problem is real. Each market data API has its own authentication method (API key in header vs query param vs OAuth), its own response format (different JSON field names for the same data), and its own rate limit window (per-minute vs per-day vs per-month). For an AI agent that needs data across equities, crypto, and forex, the integration overhead compounds quickly.
The capability routing pattern solves this by presenting a unified interface to your AI agent. You write one integration; the routing layer handles multi-provider discovery, connection management, and response normalization. Here is what that looks like in practice with QVeris:
The routing layer knows which providers support WebSocket streaming, what their rate limits are, and how to normalize response formats. Your agent code stays clean — it calls one interface and gets back structured data regardless of which provider ultimately answered. For AI agents using the function-calling pattern, QVeris integrates directly into the tool-calling loop via subprocess execution — zero MCP schema injection overhead.
Getting Started Checklist
Ready to integrate market data into your AI agent? Here is a practical checklist to go from evaluation to production:
QVeris provides a capability routing layer. Underlying market data comes from third-party providers. Verify data quality and terms before production use.
Give Your AI Agent Unified Market Data Access
QVeris handles multi-provider discovery, WebSocket management, rate limiting, and response normalization — so your agent gets structured market data without per-provider integration code. 10,000+ financial capabilities, one API key.
Frequently Asked Questions
What is the best free market data API for AI agents?
Do market data APIs support WebSocket for AI agents?
How do AI agents handle multiple market data providers?
What market data API works best for crypto AI agents?
Is Bloomberg API available for individual developers?
References & Sources
- Massive Stocks Plans — current Basic, Starter, Developer and Advanced access levels
- Alpaca Market Data Coverage — IEX versus SIP coverage
- Finnhub Documentation — finnhub.io/docs
- Alpha Vantage Documentation — alphavantage.co/documentation
- Twelve Data Documentation — twelvedata.com/docs
- Bloomberg B-PIPE — enterprise real-time market data product
- Databento Pricing — databento.com/pricing
AI Agent 市场数据 API 对比
对比 7 大 AI Agent 市场数据 API 的股票、加密货币、外汇、期权覆盖，以及延迟、免费额度和集成方式。
什么是面向 AI Agent 的市场数据 API？
市场数据 API 是一种通过程序化接口提供金融市场信息的服务 — 包括股票报价、加密货币价格、外汇汇率、期权链和宏观经济指标。对于 AI Agent 而言，这些 API 是向 Agent 推理循环输送结构化、机器可读市场信息的数据层。
核心工作流程：您的 AI Agent 发送查询（股票代码、资产对或数据类型），API 返回结构化的市场数据 — 当前价格、成交量、历史 OHLCV、买卖价差和其他元数据。对 AI Agent 场景而言，关键区分因素是 WebSocket 支持（持久流式连接）、资产类别广度（一个 API 覆盖多少市场）和 免费套餐慷慨度（付费前可访问多少数据）。
市场数据 API 服务于两类不同的用户：面向人类的金融应用（交易仪表盘、投资组合跟踪器）和 AI Agent 管道（消费数据、评估条件并触发操作的自主系统）。本对比专注于 AI Agent 场景 — 多提供商集成复杂性、响应格式标准化和速率限制管理才是真正的瓶颈。
7 大市场数据 API 对比 (2026)
以下七个提供商涵盖从免费开发者套餐到企业机构数据源。对比聚焦于对 AI Agent 集成至关重要的维度：资产类别覆盖、免费套餐限制、实时延迟、WebSocket 可用性和 AI Agent SDK 支持。
| 提供商 | 资产类别 | 免费额度 | 实时延迟 | WebSocket | AI Agent SDK | 起始价格 |
|---|---|---|---|---|---|---|
| Massive（原 Polygon.io） | 股票、期权、外汇、加密货币 | 免费基础版（日终数据） | 延迟或实时，取决于套餐 | 是（付费） | REST/WebSocket | 免费；付费版每月 29 美元起 |
| Alpaca | 股票、加密货币 | 真正免费 | 实时（美股） | 是 | Python, JS | 免费 |
| Finnhub | 股票、外汇、加密货币 | 可免费访问（限制各异） | 实时（有限） | 是（基础版） | REST | 免费 |
| Alpha Vantage | 股票、外汇、加密货币、宏观数据 | 免费额度有限 (25/day) | 延迟 15min | 否 | REST | 免费 |
| Twelve Data | 股票、外汇、加密货币、ETF | 免费额度有限 (800/day) | 延迟 (free) | 否（付费版支持） | Python, JS | 免费 |
| Bloomberg | 股票、债券、外汇、大宗商品 | 无 | <1ms | 是 | B-PIPE | 企业询价 |
| Databento | 股票、期权、期货 | 125 美元试用额度 | 实时 | 是 | Python, Rust | 免费 |
对比揭示了清晰的市场格局。Alpaca 和 Finnhub 在免费层开发方面领先，并支持 WebSocket。Polygon.io 提供最广泛的专业级覆盖，涵盖四种资产类别。Databento 以慷慨的免费消息额度提供机构数据质量。Bloomberg 仍是企业基准，但对大多数 AI Agent 团队而言成本过高。对于预算有限但需要多资产类别覆盖的 Agent，Alpaca（股票）+ Finnhub（加密货币/外汇）是常见的起步组合——但同时管理两个提供商的集成开销是真实存在的，这正是统一能力路由的价值所在。
各提供商深度分析
1. Massive（原 Polygon.io）— 美国多资产市场数据
- 同时提供 REST 与 WebSocket，可获取成交、报价和聚合行情；具体数据权限取决于所选套餐
- 覆盖股票、期权、外汇和加密货币四类资产
- 免费 Stocks Basic 套餐提供日终数据、每分钟 5 次 API 调用和两年历史数据；付费股票套餐进一步提供延迟或实时行情
- 29 美元的 Starter 与 79 美元的 Developer 股票套餐仍为 15 分钟延迟；美股实时数据从 199 美元的 Advanced 套餐开始提供
- 若 Agent 输出面向客户，还需单独核查市场数据许可与再分发权限
2. Alpaca — 股票免费层最佳
- 免费提供 IEX 实时行情；官方说明其约占美国市场成交量的 2.5%
- 原生 Python 与 JavaScript SDK 可降低 AI Agent 的接入成本
- REST 快照与 WebSocket 流数据可支持研究、监控和交易辅助流程
- 免费股票数据仅来自 IEX 子集，并非完整的 SIP 综合行情；覆盖全市场需要购买相应数据权限
- 仅覆盖股票与加密货币，不提供外汇、期权或宏观数据
3. Finnhub — 免费层支持 WebSocket
- REST 与 WebSocket 接口可支持股票、外汇和加密货币工作流
- 开发者友好的端点覆盖行情、公司数据、新闻和另类数据
- 速率限制按账户与端点公开，便于纳入 Agent 的执行预算进行量化管理
- 免费访问范围、实时数据权限和端点限额并不统一；投入生产前应核对账户控制台与响应头中的最新限制
- 商业许可和交易所覆盖会因数据集而异，因此不能把“免费 API Key”视为可直接用于所有生产场景的授权
4. Alpha Vantage — 易上手入口
- 免费层资产覆盖较广，一个 API Key 即可访问股票、外汇、加密货币与宏观经济指标
- 内置 50 多种技术指标，包括 SMA、EMA、RSI、MACD 和布林带等
- REST API 简单易用，入门文档较完善
- 免费层限速非常严格，每天仅 25 次请求，难以满足生产级 AI Agent
- 不支持 WebSocket；免费层全部通过 REST 提供，并存在 15 分钟延迟
5. Twelve Data — 免费覆盖最广
- 免费层每天 800 次请求，在所比较的免费 REST API 中日额度最高
- 覆盖全球 50 多家交易所的股票、外汇、加密货币和 ETF
- 可通过 API 获取 130 多种技术指标，并提供 Python 与 JavaScript SDK
- WebSocket 流数据仅限付费套餐；免费层为带延迟的 REST 数据
- 实时数据需要付费套餐，起价为每月 8 美元
6. Bloomberg — 企业级基准
- B-PIPE 可实现亚毫秒级延迟，是机构市场数据的重要行业基准
- 覆盖股票、债券、外汇、大宗商品、衍生品和宏观经济数据
- 数据质量达到行业标准，并提供完整审计链与合规支持
- B-PIPE 是由 Bloomberg 销售团队按企业需求报价的产品，公开的终端价格不能代表 B-PIPE 的可靠起价
- 部署、数据权限和许可均涉及机构采购，并需要专业集成能力
7. Databento — 机构数据首选
- 新用户可获得 125 美元历史数据试用额度，而不是永久性的每月免费消息额度
- 提供 Python、C++ 与 Rust 客户端，适合现代程序化工作流
- 标准化的实时与历史数据结构覆盖交易所数据集，成本会随数据集和用量变化
- 不提供外汇或加密货币数据，重点覆盖传统交易所交易工具
- 对于高调用量 AI Agent，按用量计费的最终成本可能较难预测
资产类别覆盖分析
不同的 AI Agent 场景需要不同的资产类别。以下是每个资产类别的最佳提供商推荐，包括免费和付费选项。
| 资产类别 | 最佳免费选项 | 最佳付费选项 | QVeris 覆盖 |
|---|---|---|---|
| 美股 | Alpaca | Polygon.io | ✓ |
| 加密货币 | Finnhub | Databento | ✓ |
| 外汇 | Alpha Vantage | Polygon.io | ✓ |
| 期权 | Databento | Polygon.io | ✓ |
| 宏观/经济 | Alpha Vantage | Bloomberg | ✓ |
| ETFs | Twelve Data | Polygon.io | ✓ |
没有一个提供商在所有资产类别中领先——这就是为什么 AI Agent 团队通常需要管理多个 API 密钥。统一能力路由层抽象化了这种多提供商复杂性，让您的 Agent 无需了解底层提供商即可查询市场数据。
AI Agent 开发免费套餐对比
免费套餐对 AI Agent 原型开发至关重要。以下是各提供商在每日限额、实时访问和商业使用条款方面的对比——这些是在付费前构建 Agent 时最重要的三个维度。
| 提供商 | 每日限制 | 速率限制 | 免费层实时吗？ | 需要信用卡吗？ | 是否可商用 |
|---|---|---|---|---|---|
| Alpaca | 未注明每日限额 | 每分钟 200 次请求 | 是——仅 IEX 子集 | 否 | 是 |
| Finnhub | 因账户和端点而异 | 请查看控制台和响应头 | 取决于数据集 | 否 | 仅限个人使用 |
| Twelve Data | 800 次调用/天 | 每分钟 8 次 | 否（延迟 15 分钟） | 否 | 仅限个人使用 |
| Alpha Vantage | 25 次调用/天 | 每分钟 5 次 | 否（延迟 15 分钟） | 否 | 仅限个人使用 |
| Databento | 125 美元历史数据额度 | 按用量计费 | 取决于试用与数据权限 | 是 | 是（需获得许可） |
| Massive（原 Polygon.io） | 免费基础版：每分钟 5 次请求 | 基础版每分钟 5 次 | 否——基础版仅提供日终数据 | 基础版无需信用卡 | 是（付费套餐） |
| Bloomberg | 无（仅付费） | 不适用 | 是（付费） | 所需能力 | 是（付费套餐） |
关键结论：Alpaca 是唯一一个拥有真正无限制免费套餐、适合生产环境 AI Agent 的提供商。Finnhub 和 Twelve Data 提供最好的免费 REST 选项（如果您能控制在每日限额内）。Databento 基于消息的定价模式具有创新性，但需要信用卡才能开始使用。对大多数 AI Agent 开发者而言，免费套餐之旅从 Alpaca（美股）开始，并随着资产类别需求的增长扩展到付费套餐。
AI Agent 的延迟与实时数据
对于需要做出时间敏感决策的 AI Agent——价格预警、套利检测或财报触发工作流——数据延迟是关键因素。以下是各提供商在实时数据传输方面的对比：
亚毫秒层级
Bloomberg B-PIPE 通过交易所托管与专有网络基础设施实现低于 1 毫秒的延迟。这是面向高频交易团队的机构级性能，并非典型 AI Agent 工作负载所必需。对大多数 Agent 而言，这种延迟水平并无必要，因为 LLM 推理环节带来的延迟远高于数据源。
WebSocket 流式层级
Polygon.io（约 10 毫秒）、Alpaca（美股实时）、Finnhub（实时）和 Databento（实时）均提供适合 AI Agent 的 WebSocket 流数据。事件发生时，数据会主动推送给 Agent，从而避免持续 REST 轮询带来的延迟和 API 额度消耗。
REST 轮询层级
Twelve Data（免费版延迟、付费版实时）与 Alpha Vantage（免费版延迟 15 分钟）在免费套餐中仅支持 REST。对于按计划轮询的 AI Agent，例如每小时检查投资组合或每日运行筛选器，REST 轮询已经足够，而且比维护持久 WebSocket 连接更容易实现。
AI Agent 延迟现实检查
大多数 AI Agent 管道的主要延迟来自 LLM 推理环节（500 毫秒至 5 秒），而非市场数据源。使用 QVeris CLI 时，数据调用以子进程方式执行，可完全绕过 LLM 上下文窗口；路由层直接返回结构化数据，无需在每次提示中注入工具 Schema。
为什么 AI Agent 需要统一的市场数据层
多提供商问题是真实存在的。每个市场数据 API 都有自己独特的认证方式（API Key 放在 Header 还是 Query Param 或是 OAuth）、自己的响应格式（相同数据的不同 JSON 字段名）和自己的速率限制窗口（每分钟 vs 每天 vs 每月）。对于需要跨股票、加密货币和外汇数据的 AI Agent，集成开销会迅速增加。
能力路由模式通过为您的 AI Agent 提供统一接口来解决这个问题。您编写一次集成代码；路由层处理多提供商发现、连接管理和响应标准化。以下是使用 QVeris 的实际效果：
路由层知道哪些提供商支持 WebSocket 流式传输，它们的速率限制是多少，以及如何标准化响应格式。您的 Agent 代码保持简洁——调用一个接口，无论底层是哪个提供商响应，都能获取结构化数据。对于使用函数调用模式的 AI Agent，QVeris 通过子进程执行直接集成到工具调用循环中——零 MCP Schema 注入开销。
快速上手指南
准备将市场数据集成到您的 AI Agent？以下是从评估到上线的实用指南：
QVeris 提供能力路由层。底层市场数据来自第三方提供商。生产使用前请验证数据质量和条款。
为您的 AI Agent 提供统一市场数据访问
QVeris 处理多提供商发现、WebSocket 管理、速率限制和响应标准化——让您的 Agent 无需编写每个提供商的集成代码即可获取结构化市场数据。10,000+ 金融能力，一个 API Key。
常见问题
哪个免费市场数据 API 最适合 AI Agent？
市场数据 API 支持 AI Agent 使用 WebSocket 吗？
AI Agent 如何处理多个市场数据提供商？
哪种市场数据 API 最适合加密 AI Agent？
个人开发者可以使用 Bloomberg API 吗？
参考资料与来源
- Massive 股票套餐 — 当前 Basic、Starter、Developer 与 Advanced 的访问级别
- Alpaca 市场数据覆盖 — IEX 与 SIP 覆盖范围对比
- Finnhub 文档 — finnhub.io/docs
- Alpha Vantage 文档 — alphavantage.co/documentation
- Twelve Data 文档 — twelvedata.com/docs
- Bloomberg B-PIPE — 企业级实时市场数据产品
- Databento 定价 — databento.com/pricing