Find a Free Forex Price API
That Fits Your App找到适合应用的
免费外汇价格 API
Compare live rates, historical coverage, free limits, API keys, and schemas before you connect forex data to an app or agent.
比较实时汇率、历史覆盖、免费额度、API Key 与字段结构,
再把外汇行情接入应用或 AI Agent。
TL;DR摘要
It may mean an open endpoint, a monthly free quota, or a trial. Confirm keys, attribution, commercial-use terms, and limits.
Daily reference rates, delayed mid-market rates, live bid/ask quotes, and OHLC candles serve different jobs.
Check freshness, symbols, history depth, granularity, timestamps, rate limits, schema stability, and data licensing.
QVeris helps developers discover a capability, inspect its parameters, and call it through a documented workflow.
可能是开放接口、每月免费额度或试用。需要确认 Key、署名、商业使用条款与限流。
每日参考汇率、延迟中间价、实时买卖价与 OHLC K 线对应不同任务。
更新频率、货币对、历史深度、时间粒度、时区、额度、字段稳定性与数据授权。
QVeris 帮助开发者发现能力、检查参数,并通过有记录的流程完成调用。
What a free forex price API must provide免费外汇行情 API 应提供什么
A useful free forex API must match the decision your product makes. Currency conversion can use a daily reference rate; a live dashboard needs a recent timestamp; backtesting may require historical forex data with consistent intervals and OHLC fields.
可用的免费外汇 API 必须匹配产品任务。普通换算可以使用每日参考汇率;实时看板需要清晰的更新时间;回测则可能需要固定时间粒度、OHLC 字段与稳定历史覆盖。
Real-time forex API or reference rates?
Read the provider’s update interval and source. “Latest” does not necessarily mean tick-level or tradable, and a mid-market reference rate is not an executable broker quote.
Historical forex data API coverage
Verify start date, interval, missing periods, daylight-saving handling, weekend behavior, and whether OHLC or only one daily rate is returned.
Free forex API key and limits
Check whether an API key is required, how quotas reset, whether attribution is mandatory, and whether commercial caching or redistribution is allowed.
实时汇率还是参考汇率?
核对数据源和更新频率。“最新”不等于逐笔实时,也不代表可以成交;中间参考价不是经纪商可执行报价。
外汇历史行情 API 覆盖
确认起始日期、时间粒度、缺失区间、夏令时、周末处理,以及返回 OHLC K 线还是单一日汇率。
免费额度、API Key 与授权
确认是否需要 Key、额度如何重置、是否必须署名,以及商业缓存或再分发是否被允许。
How to compare free forex APIs如何比较免费外汇 API
| Criterion标准 | What to inspect检查内容 | Why it matters为什么重要 | Red flag风险信号 |
|---|---|---|---|
| Freshness更新频率 | Timestamp, source, delay, market session.时间戳、来源、延迟、市场时段。 | Separates live use from reference conversion.区分实时用途与参考换算。 | “Real-time” without a defined interval.声称“实时”却没有明确间隔。 |
| Coverage覆盖范围 | Pairs, base currencies, history, OHLC granularity.货币对、基准币、历史深度、K 线粒度。 | Determines whether one endpoint fits the product.决定接口能否覆盖产品任务。 | Currency count with no supported-symbol list.只报币种数量却无符号列表。 |
| Free limits免费限制 | Calls, burst rate, key, attribution, commercial terms.调用量、瞬时限流、Key、署名、商业条款。 | Prevents a prototype from failing at launch.避免原型上线后突然不可用。 | No public quota or licensing terms.没有公开额度或授权条款。 |
| Schema quality字段质量 | JSON types, bid/ask/mid, errors, timezone, versioning.JSON 类型、买卖价、错误、时区、版本。 | Reduces integration ambiguity.降低接入歧义。 | Examples do not match documentation.示例与文档不一致。 |
Choose forex price data by use case按使用场景选择外汇价格数据
“Forex price” is not one universal dataset. The correct endpoint depends on whether you are converting an invoice, refreshing a dashboard, researching a strategy, or giving an AI agent current market context. Define the decision first, then choose the data.
“外汇价格”不是一种通用数据。发票换算、行情看板、策略研究和 AI Agent 的实时市场上下文,对数据源、时效与字段的要求完全不同。应先定义业务决策,再选择接口。
Currency conversion and accounting
Daily or periodic reference rates may be sufficient. Prioritize an official source, stable base/quote conventions, historical dates, and clear licensing. Do not label the result as an executable trading price.
Live dashboards and alerts
Require timestamps, a documented update interval, market-session status, and a stale-data rule. Decide how long the last successful quote may remain visible after an upstream failure.
Backtesting and research
Check candle interval, history depth, timezone, daylight-saving transitions, missing bars, weekend policy, and whether “volume” represents real trades or provider-specific tick activity.
AI agents and automated workflows
Expose a strict schema, bounded response size, source metadata, and deterministic errors. The agent should know whether it received a reference rate, midpoint, bid/ask quote, or OHLC candle.
货币换算与财务核算
每日或定期参考汇率通常足够。优先考虑权威来源、稳定的基准币/计价币约定、历史日期和清晰授权,不要把结果描述为可执行交易价。
实时看板与价格提醒
必须提供时间戳、明确更新间隔、市场时段状态和过期规则,并确定上游失败后最近一次报价可以展示多久。
回测与量化研究
检查 K 线粒度、历史深度、时区、夏令时转换、缺失 Bar、周末策略,以及 volume 是真实成交量还是数据源特定的 Tick 活跃度。
AI Agent 与自动化工作流
需要严格的数据结构、受控响应大小、来源元数据和确定性错误。Agent 必须知道结果是参考汇率、中间价、买卖报价还是 OHLC K 线。
Free forex API Python integration steps用 Python 接入免费外汇行情 API
1. Define the data contract
Write down the required pairs, freshness, history, interval, bid/ask or midpoint fields, timezone, error handling, and acceptable request budget.
2. Test one documented request
Use Python’s HTTP client with a timeout, check the status code, and validate the returned timestamp and numeric fields before storing anything.
3. Add caching and limit handling
Cache according to the provider’s terms, respect quota headers, and implement explicit behavior for 429 responses, missing pairs, and stale timestamps.
4. Keep the provider replaceable
Normalize the response into your own internal shape so a free tier can be replaced or supplemented without rewriting every consumer.
1. 先定义数据契约
写清货币对、更新频率、历史范围、粒度、买卖价或中间价字段、时区、错误处理与调用预算。
2. 用一条文档请求验证
Python 请求必须设置超时并检查状态码;存储前验证时间戳、货币对与数值字段。
3. 处理缓存和限流
按服务条款缓存,读取额度信息,并明确处理 429、货币对缺失与数据过期。
4. 保持供应商可替换
把响应标准化为自己的内部结构,免费额度变化时就不必重写所有调用方。
Fields a forex API response should explain外汇 API 响应应解释哪些字段
A short JSON response can still be ambiguous. Before integration, document the quotation direction, price type, source time, retrieval time, market state, and units. Treat field meaning as part of the API contract—not as an assumption hidden in application code.
即使 JSON 很短,也可能存在歧义。接入前需要记录报价方向、价格类型、数据源时间、获取时间、市场状态与单位。字段含义属于 API 契约,不能只靠业务代码猜测。
| Field字段 | Meaning to confirm需要确认的含义 | Validation验证方式 | Common mistake常见错误 |
|---|---|---|---|
pair | Base and quote order, such as EUR/USD.基准币与计价币顺序,例如 EUR/USD。 | Compare with the supported-symbol definition.与支持的货币对定义核对。 | Inverting the rate twice.重复倒数导致方向错误。 |
price / mid | Reference, midpoint, close, or derived rate.参考价、中间价、收盘价或推导价格。 | Read source and methodology notes.阅读数据源和计算方法。 | Treating it as an executable quote.误当成可成交报价。 |
bid / ask | Provider-side buying and selling prices.数据源一侧的买入价与卖出价。 | Check that bid ≤ ask and both share a timestamp.检查 bid ≤ ask 且时间戳一致。 | Ignoring spread or quote side.忽略点差或买卖方向。 |
timestamp | Source observation time, not always request time.数据源观测时间,不一定是请求时间。 | Parse timezone and calculate age.解析时区并计算数据年龄。 | Displaying stale data as live.把过期数据展示为实时行情。 |
import requests
response = requests.get(API_URL, params={"pair": "EUR/USD"}, timeout=10)
response.raise_for_status()
quote = response.json()
required = {"pair", "price", "timestamp"}
missing = required.difference(quote)
if missing:
raise ValueError(f"Missing fields: {sorted(missing)}")
price = float(quote["price"])
if price <= 0:
raise ValueError("Price must be positive")import requests
response = requests.get(API_URL, params={"pair": "EUR/USD"}, timeout=10)
response.raise_for_status()
quote = response.json()
required = {"pair", "price", "timestamp"}
missing = required.difference(quote)
if missing:
raise ValueError(f"缺少字段: {sorted(missing)}")
price = float(quote["price"])
if price <= 0:
raise ValueError("价格必须大于 0")Worked example: invert and cross forex quotes without losing direction实算示例:正确处理汇率倒数与交叉盘方向
Suppose the feed quotes EUR/USD at 1.0798 / 1.0802 and USD/JPY at 149.98 / 150.02. In both pairs, the first number is the bid for one unit of the base currency and the second is the ask. A synthetic EUR/JPY quote must preserve those sides; multiplying two midpoint values would hide the executable spread.
假设数据源给出的 EUR/USD 为 1.0798 / 1.0802,USD/JPY 为 149.98 / 150.02。两组报价中,前一个数都是一单位基准货币的买价,后一个数是卖价。合成 EUR/JPY 时必须保留买卖方向;只把两个中间价相乘,会掩盖真正可执行的点差。
| Result结果 | Calculation计算 | Interpretation含义 |
|---|---|---|
| EUR/JPY bidEUR/JPY 买价 | 1.0798 × 149.98 = 161.9484 | The synthetic bid uses both bid sides.合成买价使用两组报价的买价。 |
| EUR/JPY askEUR/JPY 卖价 | 1.0802 × 150.02 = 162.0516 | The synthetic ask uses both ask sides.合成卖价使用两组报价的卖价。 |
| USD/EUR referenceUSD/EUR 参考汇率 | 1 ÷ 1.0800 ≈ 0.925926 | This is the inverse of the midpoint only. For a two-sided inverse quote, use 1 / original ask as the new bid and 1 / original bid as the new ask.这里只是中间价的倒数。若要反转双边报价,新买价应使用 1 / 原卖价,新卖价应使用 1 / 原买价。 |
Before composing a cross rate, align the timestamps and sources. Quotes observed in different seconds, from different venue sets, or under different market states do not form a clean synthetic pair. Store the two source timestamps and reject or flag the result when their gap exceeds the application’s tolerance.
合成交叉汇率前,必须对齐时间戳与数据来源。若两条报价来自不同秒、不同交易场所集合,或处于不同市场状态,就不能直接视为一组干净的合成报价。应保留两条源报价的时间戳;时间差超过应用容差时,拒绝计算或明确标记结果。
Production checklist for a free forex rates API免费外汇汇率 API 的生产检查清单
A successful demo proves only that one request worked. Production readiness requires explicit controls for reliability, licensing, monitoring, and provider changes. Free tiers are valuable for prototypes, but their quotas and product terms can change.
演示请求成功,只能证明某一次调用可用。生产环境还需要可靠性、授权、监控和供应商变更控制。免费额度适合原型,但调用上限和产品条款可能调整。
- Freshness: record source timestamps, calculate quote age, and reject data older than the use case allows.
- Reliability: set connect/read timeouts, bounded retries with jitter, circuit breaking, and a defined fallback or fail-closed state.
- Quota: monitor daily and burst limits, cache only when permitted, and alert before exhaustion rather than after HTTP 429 responses begin.
- Data quality: test supported pairs, positive numeric values, bid/ask ordering, timezones, missing candles, and unusual market closures.
- Licensing: save the applicable terms, attribution requirement, commercial-use rule, caching allowance, and redistribution restriction.
- Provider change: version your adapter and contract tests so renamed fields or endpoint changes fail visibly.
- 时效:保存数据源时间戳、计算报价年龄,并拒绝超过业务允许时间的数据。
- 可靠性:设置连接/读取超时、带抖动的有限重试、熔断,以及明确的备用方案或失败关闭状态。
- 额度:监控每日与瞬时限额,仅在条款允许时缓存,并在出现 HTTP 429 前告警。
- 数据质量:测试支持的货币对、正数价格、bid/ask 顺序、时区、缺失 K 线和特殊休市。
- 授权:保存适用条款、署名要求、商业使用规则、缓存许可与再分发限制。
- 供应商变更:为适配层和契约测试做版本管理,让字段改名或端点变化可以被及时发现。
How QVeris helps call a forex data capabilityQVeris 如何帮助调用外汇数据能力
QVeris is a capability routing network, not a claim that every forex source is free or real-time. Use its documented Search → Inspect → Call workflow to find relevant capabilities, review parameters and metadata, then execute the selected tool.
QVeris 是能力路由网络,并不代表每个外汇数据源都免费或实时。可按照文档中的“搜索 → 检查 → 调用”流程查找相关能力、查看参数与元数据,再执行选中的工具。
- Search in natural language for the required forex price or historical-rate capability.
- Inspect the selected tool’s input schema and examples before sending pair, interval, or date parameters.
- Call the capability and validate freshness, source, quota, and licensing for your production use case.
- 用自然语言搜索所需的外汇价格或历史汇率能力。
- 调用前检查工具输入结构和示例,再传入货币对、时间粒度或日期。
- 得到结果后仍需验证更新频率、数据源、额度与授权是否适合生产用途。
FAQ
The best option is the one whose freshness, pairs, history, quota, schema, and license match your use case. A daily converter and a trading dashboard need different data.
Some providers offer live or near-real-time data in a free tier, but definitions and quotas vary. Verify the published interval and response timestamp.
Yes, some open endpoints require no key. They may still impose rate limits, attribution, daily updates, or restrictions on redistribution.
Some do, but history depth and granularity vary. Confirm whether the endpoint returns daily rates, time series, or OHLC candles.
Choose a documented endpoint, send an HTTP request with a timeout, validate status and timestamps, then normalize the JSON into your own data model.
Trading-oriented APIs may provide OHLC candles; currency-conversion APIs often return only a current or daily reference rate.
最合适的接口取决于更新频率、货币对、历史覆盖、免费额度、数据结构和授权是否匹配你的场景。每日换算工具与交易行情看板需要不同的数据。
部分服务提供免费实时或准实时数据,但“实时”的定义和额度不同,必须核对公开更新间隔与响应时间戳。
可以,部分开放端点无需 Key,但仍可能存在限流、署名要求、每日更新或数据再分发限制。
部分接口包含,但历史深度和时间粒度不同。需要确认端点返回每日汇率、时间序列还是 OHLC K 线。
选择有文档的端点,通过设置了超时的 HTTP 请求获取数据,验证状态码和时间戳,再把 JSON 标准化为自己的数据模型。
面向交易的 API 可能提供 OHLC K 线;货币换算 API 通常只返回当前汇率或每日参考汇率。
