Macedonian Denar (MKD) - N/A Real-Time Price API: WebSocket vs REST comparison for developers

You need to price in Macedonian denar (MKD) in near real time and decide whether your app should subscribe to a stream or poll an API. By the end of this guide you’ll have a working MKD integration with Metals-API using the Latest Rates endpoint, a lightweight polling strategy that mimics streaming for most fintech and commerce use cases, and a clear decision framework for WebSocket-style streaming versus REST.

What “real time” MKD means in practice

For most pricing, quoting, and P&L views, “real time” means you can refresh MKD within the API’s update cadence and your users’ tolerance for latency. Metals-API’s Latest Rates endpoint returns prices updated at plan-specific intervals (for example, up to every 10 minutes on higher tiers). If you’re building e-commerce price tags, ERP conversions, or TCA-style dashboards that tolerate tens of seconds to a few minutes, REST polling is simpler and robust.

True tick-by-tick FX streaming over WebSockets is valuable if you need sub-second updates and continuous pushes (e.g., a dealing screen). Metals-API is a JSON REST service. You can still approximate “streaming” by polling on a backoff schedule, caching, and emitting internal events in your app. The comparison below details when each approach fits.

Fetch live MKD with the Latest endpoint

The Latest Rates endpoint returns currency and metal rates relative to the base currency (USD by default). For MKD:

• rates.MKD = Macedonian denars per 1 USD
• rates.USDMKD = USD per 1 MKD (the inverse pair)

Request MKD explicitly to keep payloads small and predictable.

curl example

curl -s "https://metals-api.com/api/latest?access_key=YOUR_API_KEY&symbols=MKD,USDMKD"

Official JSON response (use these fields)

{"success":true,"timestamp":1791332760,"date":"2026-10-07","base":"USD","rates":{"MKD":54.68209,"USD":1,"USDMKD":0.018287523392028358}}

What you will actually use:

• timestamp: Unix epoch seconds (UTC). Use this for cache-control and staleness checks.
• date: ISO date (UTC). Helpful for UIs and end-of-day reconciliation.
• base: Always “USD” in the default configuration.
• rates.MKD: MKD per 1 USD. Multiply USD amounts by this to convert to MKD.
• rates.USDMKD: USD per 1 MKD. Multiply MKD amounts by this to convert to USD.

Note: When metals are included, the unit is per troy ounce. For fiats like MKD, values are dimensionless exchange rates per base USD.

Minimal Python client: convert MKD ⟷ USD

This snippet fetches MKD, validates staleness, and performs conversions both ways. It also illustrates a basic cache TTL aligned with the API’s update cadence.

import os
import time
import requests

API_KEY = os.getenv("METALS_API_KEY", "YOUR_API_KEY")
URL = "https://metals-api.com/api/latest"

def get_mkd_rates():
params = {
"access_key": API_KEY,
"symbols": "MKD,USDMKD"
}
r = requests.get(URL, params=params, timeout=10)
r.raise_for_status()
data = r.json()
if not data.get("success"):
raise RuntimeError(f"API error: {data}")
return data

def convert_usd_to_mkd(usd, mkd_per_usd):
return usd * mkd_per_usd

def convert_mkd_to_usd(mkd, usd_per_mkd):
return mkd * usd_per_mkd

if __name__ == "__main__":
data = get_mkd_rates()
ts = data["timestamp"] # Unix seconds, UTC
mkd_per_usd = data["rates"]["MKD"]
usd_per_mkd = data["rates"]["USDMKD"]

# Example conversions
usd_amount = 2500.0
mkd_amount = convert_usd_to_mkd(usd_amount, mkd_per_usd)

mkd_input = 100000.0
usd_from_mkd = convert_mkd_to_usd(mkd_input, usd_per_mkd)

print(f"As of {data['date']} (ts={ts}), base={data['base']}")
print(f"USD {usd_amount} -> MKD {mkd_amount}")
print(f"MKD {mkd_input} -> USD {usd_from_mkd}")

# Simple cache freshness check (example: 60 seconds TTL)
if time.time() - ts < 60:
print("Rates are fresh within 60s.")
else:
print("Rates may be stale; consider refetching.")

For additional endpoint parameters and response fields, see the Metals-API Documentation. To confirm symbol availability and naming (including MKD and USDMKD), visit Metals-API Supported Symbols.

REST versus WebSocket for MKD: what developers trade off

This section compares the two integration patterns against developer priorities, then maps them to MKD pricing use cases.

Feature depth and data cadence

• REST (Metals-API Latest): You pull MKD on demand at the plan’s refresh interval. Ideal for workflows where state changes at most every few minutes, or where the user explicitly triggers a refresh (e.g., quote creation, cart recalculations, ERP postings).
• WebSocket-style streaming: A server pushes continuous updates when the rate changes, potentially sub-second. Best for trader UIs, market-making bots, or analytics that depend on every micro-move.

Ease of use and operational simplicity

• REST: Simpler to implement, test, and scale. You can leverage HTTP caching, retries, and backoff. It works cleanly behind corporate proxies and CDNs.
• WebSocket: Requires connection lifecycle management (connect, heartbeat, resubscribe), reconnection jitter, and potentially message sequencing. More moving parts, but continuous delivery.

Response structure and parsing

• REST: Stable JSON structure with typed fields (success, timestamp, base, rates). You control the symbols returned (MKD, USDMKD) and can harden your parser against missing fields.
• WebSocket: Typically event frames with topic keys and payloads; messages can vary by channel type (snapshot vs. incremental). You must handle out-of-order or duplicated frames.

Performance and cost profile

• REST: Efficient for low-to-moderate frequency updates. A single call can feed multiple consumers via your own cache or message bus.
• WebSocket: Efficient at very high update rates once connected, but keepalive and fan-out to services or users add complexity. If your UX doesn’t benefit from sub-minute updates, the overhead rarely pays off.

Use cases mapped to MKD

• E-commerce and ERP pricing: REST polling fits. Refresh MKD on cart update, checkout, or every 1–5 minutes on a background task.
• Risk and P&L dashboards: REST works with a 30–120 second cadence and local smoothing; alert only on material changes.
• Intraday dealer screens: Streaming is better, but you can approximate with aggressive REST polling if your SLA allows occasional seconds-long staleness.

A practical polling pattern that feels like streaming

You can get most of the benefits of streaming with a compact REST polling loop:

• Align polling to the API’s update frequency. If your plan updates every N minutes, set poll interval slightly higher than N to avoid redundant hits.
• Cache by timestamp. If the timestamp is unchanged, do not propagate updates to downstream systems.
• Use exponential backoff and jitter on failure to avoid thundering herds (e.g., 5s, 10s, 20s … up to a ceiling).
• Fan out internally. After a successful fetch, publish an in-app event (e.g., “fx.mkd.updated”) to live views, pricing services, and alerts.
• Guard rails: set a max staleness. If data is older than your UX SLA, surface a subtle stale badge in your UI.

Converting amounts safely: base currency, inverses, precision

Because the API’s base is USD, MKD amounts require inversion depending on direction:

• USD → MKD: multiply by rates.MKD (MKD per USD).
• MKD → USD: multiply by rates.USDMKD (USD per MKD).

Precision matters. Store rates as decimals in your DB if you do accounting. Round only at display time using your organization’s FX rounding rules. For audit trails, record timestamp and date alongside rates.

Historical checks, backfilling, and alerts with REST

To validate live MKD, backfill charts, or compute day-over-day changes, use the Historical or Time-Series endpoints. Query MKD across the dates you need and reconcile against your latest snapshot to detect anomalies before they hit user-facing UIs. For details and parameterization, see the Metals-API Documentation.

Operational details that save time

• Units and metals: Metals are quoted per troy ounce. Fiat currencies like MKD are quoted per base USD. If you later add a metal to the same response, ensure your UI distinguishes “per oz” from “per USD”.
• Timestamps and timezone: timestamp is Unix epoch seconds, UTC; date is also UTC. Use timestamp for freshness logic and date for display.
• Caching: Introduce an in-memory cache (e.g., 60–120 seconds) keyed by symbols. Serve most UI reads from cache to reduce API calls.
• Weekends and closures: FX markets are effectively 24x5. On weekends, MKD rates may not change. Your polling loop should tolerate repeated identical timestamps.
• Error handling: Treat “success”: false, missing fields, or HTTP != 200 as errors. Log request-id if available in headers and retry with backoff.
• Symbol hygiene: Always request explicit symbols. Review the live list at Metals-API Supported Symbols.

Bridging metals and MKD in real applications

If you price nickel contracts or invoices in MKD, a typical workflow is: fetch the metal in USD (e.g., nickel), then apply MKD via latest MKD/USDMKD from the same service. While this article centers on MKD, that two-step conversion lets you keep one consistent provider for both legs of the price. It also simplifies auditing and timestamp alignment across FX and metal legs.

Recommendations: when to choose REST polling or streaming

• Choose REST polling with Metals-API if:
  • Your UX or SLAs accept updates on the minute scale.
  • You prefer simpler deployment, retries, and cache semantics.
  • You need predictable JSON with explicit symbols and timestamps.
• Choose a streaming layer if:
  • Your users require sub-second, push-based MKD updates.
  • You already operate a message bus and can fan out updates internally.
  • You can justify the added complexity of connection orchestration.

Hybrid pattern: Use Metals-API REST as the system of record and publish in-app events to simulate streaming for UIs. For most commerce, ERP, and analytics use cases with MKD, this is the pragmatic choice.

Production checklist for MKD integration

• Symbols: request MKD and USDMKD explicitly.
• Freshness: gate UI rendering on timestamp changes; display a stale badge if older than your SLA.
• Conversion correctness: USD→MKD uses rates.MKD; MKD→USD uses rates.USDMKD.
• Precision: store high-precision decimals, round at display time only.
• Observability: log timestamp, symbols, and result values; alert on gaps or repeated failures.
• Backfill: use historical/time-series for validation and charting.

Next steps and resources

• Get an API key: Register.
• Explore parameter options and more endpoints: Documentation.
• Confirm MKD symbol support and naming: Symbols.
• Manage your plan and account: MCP.

Additional reading on FX market mechanics and latencies: BIS Quarterly Review: FX market structure, RFC 6455 WebSocket Protocol.

FAQ

How often does MKD update?
The Latest endpoint refreshes based on your plan’s cadence. Poll slightly slower than the documented update interval and rely on the timestamp field to detect true changes.

Do I need both MKD and USDMKD?
It helps. MKD is MKD per USD (USD→MKD conversions). USDMKD is USD per MKD (MKD→USD conversions). Requesting both avoids doing floating-point inversions yourself and reduces rounding error.

What timezone are date and timestamp in?
UTC. Use timestamp (Unix seconds) for cache and staleness logic. Use date for user display and reconciliation.

Can I subscribe to MKD over WebSocket?
Metals-API provides REST endpoints. If you need push semantics, poll Latest on a backoff schedule and publish updates inside your app. This approximates streaming for most business UIs.

How should I handle weekends and holidays?
Expect repeated identical timestamps or unchanged rates. Your polling loop should short-circuit downstream updates when the timestamp does not change.

Ready to ship MKD pricing? Get your API key at Register, then follow the Documentation to integrate the Latest endpoint with MKD and USDMKD. You can manage your account and plan anytime in MCP.