Twelve Data: Pricing, Plans & FXMacroData Compared

Who Should Read This Article

If you are an FX trader, quant developer, or macro analyst evaluating data APIs, this article is for you. FXMacroData and Twelve Data both serve financial developers with programmatic access to market data — but they occupy very different positions in the data stack. This article compares them objectively across pricing, data scope, forex coverage, developer experience, and AI tooling so you can choose the right platform for your workflow.

Side-by-Side Comparison

Pricing and Value

Twelve Data's entry point is flexible. The free Basic plan grants 800 API requests per day with access to 3 markets — enough to prototype or experiment with a limited symbol set. The paid Grow plan is $29/month and removes the daily cap, expands to 20+ markets, and provides 55 API credits per minute. The Pro plan at $99/month adds 610 credits per minute and 70+ markets, and Ultra at $329/month provides 2,584 credits per minute, all markets, and a 99.95% SLA. Annual billing saves about 17% ($24.75, $84.75, and $280.75 per month respectively).

FXMacroData's entry plan starts at $50/month — and at that price point delivers a very different value proposition: 1,000,000 API requests a month, no credit metering, and a curated catalogue of 700+ macroeconomic indicator series across 22 currencies with second-level announcement timestamps, and new releases typically available within seconds of official publication (measured publicly). If your workflow is FX macro — monitoring the Fed funds rate, Eurozone CPI, or UK employment across a systematic strategy — you are not paying for a market cap weighting you will never use. Companies and teams of up to 10 people use the Business plan ($250/month or $2,500/year) with the same allowance and priority support.

Twelve Data's higher tiers ($99/month Pro, $329/month Ultra) provide access to more exchanges, larger credit pools, and enterprise-grade capacity. For fintech products serving high-volume real-time price feeds across global equities, those tiers make sense. For FX macro research and trading, the comparison is more direct: FXMacroData at $50/month versus Twelve Data's Grow plan at $29/month — Twelve Data is cheaper at entry, but the two deliver fundamentally different data.

Monthly list price, USD

FXMacroData in mint; Twelve Data plans in cyan. Hover a bar for the exact price.

Takeaway: Twelve Data prices by market-data credits; FXMacroData's flat $50 covers the macro release layer that Twelve Data does not specialise in.

Data Scope: Macro Indicators vs. Market Price Data

This is the defining difference between the two platforms. Twelve Data is built for market data: OHLCV price series, real-time quotes, and technical indicators across a massive symbol universe — around 100,000 symbols spanning stocks, 1,300+ forex pairs, 1,900+ crypto pairs, 56,000+ ETFs, and 30+ commodities across 250+ exchanges and 90+ countries. If your strategy is price-driven — technical analysis, cross-asset momentum, statistical arbitrage, or real-time execution signals — Twelve Data is an extremely capable data source.

FXMacroData approaches the FX market differently. It does serve the exchange rate of EUR/USD, but its focus is the macroeconomic fundamentals that drive it: ECB rate decisions, US CPI releases, non-farm payrolls, bond yield differentials, and CFTC speculative positioning for the major currency futures — across 22 currencies in a consistent, currency-scoped data model. Every record carries a precise announcement_datetime field, making it usable for event-study analysis and systematic macro strategies where timing is part of the signal.

Forex: 1,300+ Pairs vs. Macro Context

Twelve Data's forex offering is genuinely impressive in breadth: over 1,300 currency pairs with historical and real-time OHLCV data, plus technical indicators computed server-side. For a developer building a charting tool, a technical trading system, or a multi-currency price aggregator, that depth of price history at the Grow plan price point is competitive.

FXMacroData serves daily FX spot rates as context, but its core is the macroeconomic fundamentals for each currency. An analyst using FXMacroData can pull the RBA policy rate history with second-level timestamps, overlay the AUD CPI trend, and combine it with COT net positioning for Australian dollar speculators — all through a unified REST API with identical structure across every currency. That context is what drives systematic macro strategies and carry-trade models.

These capabilities are complementary rather than competing. Many production workflows combine both: Twelve Data for live price feeds and technical signals, FXMacroData for the macro event calendar, indicator history, and central bank announcement context that underpins fundamental analysis.

RBA decision day on AUD/USD: price context versus macro context

Twelve Data: price

Pull AUD/USD OHLCV bars and a server-side RSI or MACD from Twelve Data, or stream quotes over WebSocket, metered in credits per minute.

FXMacroData: decision

Pull the RBA row from /v1/announcements/aud/policy_rate with a second-level announcement_datetime, typically available within seconds of official publication.

FXMacroData: backdrop

Add the AUD CPI trend and CFTC COT positioning for Australian dollar speculators in the same response shape.

Combined read

Use the decision timestamp to split the AUD/USD bars into pre- and post-announcement segments, then read the technical signal against the macro surprise.

Takeaway: Twelve Data tells you what AUD/USD did; FXMacroData tells you which RBA release it reacted to and when, so the two are usually run together.

MCP Integration for AI-Native Workflows

Both platforms now ship official MCP (Model Context Protocol) servers, so the useful question is what each one exposes. FXMacroData's MCP server exposes its macro data catalogue as queryable tools for AI agents and LLMs. A Claude, GPT, or Cursor agent can call it to fetch the latest Fed rate decision, check upcoming release calendar events, or retrieve COT positioning for a specific currency — all in natural language, without writing a single API call manually.

Twelve Data's official MCP server (published at github.com/twelvedata/mcp) gives agents access to its market-data catalogue — a good fit for price questions. For AI-powered research agents or LLM-driven trading assistants that need macroeconomic context, FXMacroData's MCP tools return FX-specific, official-source release data with second-level announcement timestamps, which Twelve Data's catalogue does not cover.

Developer Experience and API Design

Twelve Data ships official SDKs for Python, Go, C++, C#, Java, and R — a broad ecosystem that reduces the time to first data point in supported languages. The WebSocket streaming interface delivers real-time price updates with ~170ms latency, which is well-suited to algorithmic trading and live charting. The Excel and Google Sheets add-ins further extend its reach to analysts who prefer spreadsheet-native workflows.

FXMacroData is dependency-free by design: a standard REST API using a single X-API-Key header, consistent across every endpoint, with optional Python and JavaScript SDKs. Every indicator response carries the same core fields — date, val, and announcement_datetime (UTC epoch seconds) — regardless of currency or indicator type. This consistency reduces integration complexity: one fetch utility handles all 22 currencies and all indicator series. Beyond REST, FXMacroData also supports a GraphQL endpoint for batching multiple currency queries in a single request and a Server-Sent Events (SSE) stream that pushes updates the moment a new data point is written — no polling required.

# Fetch the USD policy rate history — same call pattern across all 22 currencies
curl -H "X-API-Key: YOUR_API_KEY" "https://api.fxmacrodata.com/v1/announcements/usd/policy_rate?start_date=2024-01-01"

Example response (abridged):

{
  "currency": "USD",
  "indicator": "policy_rate",
  "source": "Federal Reserve",
  "data": [
    {
      "date": "2026-09-16",
      "val": 4.0,
      "previous_value": 3.75,
      "change_from_previous": 0.25,
      "announcement_datetime": 1789581600
    },
    {
      "date": "2026-07-29",
      "val": 3.75,
      "previous_value": 3.75,
      "change_from_previous": 0.0,
      "announcement_datetime": 1785348000
    }
  ]
}

Rate Limits and Throughput

Twelve Data uses a credit-based rate model: each API request consumes credits, and your plan determines how many credits you have per minute. The Grow plan ($29/month) provides 55 credits per minute — sufficient for most light-to-moderate data pull scenarios. The Pro plan at $99/month scales to 610 credits per minute and Ultra to 2,584, which is adequate for high-frequency pipelines and concurrent multi-symbol fetches. Paid plans have no daily cap. Custom plans can increase credit limits further.

FXMacroData's paid plans include 1,000,000 requests a month with no credit accounting. Individual keys also have burst guards of 300 requests a minute, 5,000 an hour, and 20 concurrent requests; Enterprise limits are set by custom agreement. A back-test pipeline can fetch all 22 currencies, all supported indicators, multiple date ranges, and repeated queries within that allowance, and the 300-per-minute Individual guard still leaves room for a burst of requests during a time-sensitive event window — like a Fed decision unfolding at 2:00 PM ET when you are correlating policy rate data against real-time price moves.

Historical Depth and Data Latency

Twelve Data provides substantial historical price depth for OHLCV data — multiple years of minute-level bars and daily data going back decades on supported instruments. For price-driven back-testing and factor research, this is a genuine strength.

FXMacroData's historical scope covers the full announcement history for every supported indicator across all 22 currencies, going back to the earliest available official release for each series. For policy rate decisions and CPI prints, that can span decades of data. What distinguishes FXMacroData's history is not just the date range — it is that every historical record carries an announcement_datetime accurate to the second, enabling event-study analysis on precise central bank release timing, not calendar-date approximations. New indicator values are typically available within seconds of official publication, so the most recent data points are available almost immediately.

Scale, SLA, and Reliability

Twelve Data operates at significant scale: it reports serving 700M+ API requests a day across 250+ exchanges, with a published 99.95% SLA on its Ultra plan. For fintech applications requiring enterprise-grade uptime guarantees and high-throughput real-time feeds, that published SLA is a meaningful commitment.

FXMacroData does not publish an equivalent SLA figure on its self-serve plans. For macro indicator data — where releases occur at scheduled intervals — the more relevant reliability metric is how quickly new data appears after an official release; FXMacroData publishes that measurement by source, including every release that took longer than one second.

Spreadsheet Access

Twelve Data has a genuine advantage here. Its Excel and Google Sheets add-ins give analysts direct access to financial data without writing a single line of code — an important convenience for portfolio managers and research teams whose primary tool is a spreadsheet.

FXMacroData is API-first and does not ship a packaged add-in. It publishes guides for Excel via Power Query and Google Sheets via Apps Script, plus a data export, so spreadsheet users can pull indicator series without building an application. If a one-click add-in is a hard requirement for your team, Twelve Data is the more convenient option.

Recommendation and Verdict

For FX traders and macro developers building systematic strategies around central bank decisions, inflation dynamics, employment trends, and COT positioning, FXMacroData delivers what Twelve Data cannot: a currency-scoped macroeconomic indicator catalogue with second-level announcement timestamps, typically available within seconds of each official release, across 22 currencies — with 1,000,000 API requests a month, SSE streaming, GraphQL batching, and MCP server support for AI-native workflows. All from $50/month.

For multi-asset quant developers, technical analysts, and fintech builders who need real-time price data, pre-computed technical indicators, and a broad symbol universe of around 100,000 symbols across 250+ exchanges, Twelve Data is an excellent and well-priced platform. Its WebSocket infrastructure, SDK ecosystem, MCP server, SLA commitment on Ultra, and spreadsheet add-ins make it one of the most accessible market data APIs at its price tier.

The two platforms solve different problems: Twelve Data answers "what is the price right now and what does the chart look like?"; FXMacroData answers "what are the macro conditions driving this currency and when exactly did the central bank change course?". If your FX strategy depends on the second question, Twelve Data's 1,300+ forex pairs — however broad — do not substitute for indicator time series with precise announcement timing.