Get Libyan Dinar (LYD) prices in your application using this API

Building a pricing, hedging, or analytics feature that displays metal prices in Libyan Dinar (LYD) is straightforward with the Metals-API. In this guide, you will learn how to request real-time and historical precious and industrial metals data, convert it into LYD, integrate it into trading or e-commerce workflows, and handle edge cases like weekends, caching, and intraday updates. We will walk through the Latest, Historical, Time-Series, Fluctuation, OHLC, Bid/Ask, Convert, Intraday, Carat, Lowest/Highest, Historical LME, and Supported Symbols features, and show exactly how to transform responses for LYD-denominated experiences. If you are working in fintech, jewelry, commodities trading, ERP, or manufacturing, this article is engineered for developers and data teams who need correct units, reliable timestamps, and practical implementation details.

Why LYD-denominated metal pricing matters

Whether you price finished jewelry for Libyan retail, quote B2B contracts in LYD, or run a procurement dashboard for industrial metals, denominating prices in Libyan Dinar (LYD) is a must. Metals-API delivers metal rates relative to a base (by default USD), and also provides currency rates. This enables you to display XAU, XAG, XPT, XPD, XCU, XAL, XNI, or XZN in LYD on demand, support historical backfills, compute intraday analytics, or trigger alerts on local-currency price thresholds. Using LYD consistently across UI, risk, and reporting pipelines reduces FX ambiguity and improves hedging precision for Libyan operations.

Where LYD pricing appears in real applications

Point-of-sale and e-commerce: Update catalog pricing for gold or silver jewelry in LYD as the market moves.
Procurement and ERP: Track aluminum or copper input costs in LYD and compute purchase budgets and variances.
Risk dashboards: Monitor LYD-denominated exposures and hedging triggers using OHLC or Bid/Ask liquidity snapshots.
Quant research: Backtest LYD metal price series with time-windowed returns, rolling volatility, and LYD/metal spread analysis.
Alerting: Notify when LYD metal prices cross thresholds or when spread dynamics change (e.g., XAU/XAG ratio converted into LYD context).

How the Metals-API works for LYD use cases

At its core, the API returns metals and currency rates in JSON. By default, the base currency in responses is USD, with unit = per troy ounce for metals in the examples below. You can transform these data into LYD using either:

Setting the base to LYD (if your plan and endpoint combination support a base override), or
Converting USD-denominated metal prices to LYD using the corresponding USD→LYD currency rate.

Get started at the Metals-API Website, check the Metals-API Supported Symbols to confirm LYD and the metals you need, and integrate by following the Metals-API Documentation. If you do not have credentials yet, sign up and get a free API key to explore the endpoints.

Core data model and units to know before you code

Base currency: Responses are by default relative to USD unless you specify otherwise. This means “rates.XAU = 0.000482” represents 0.000482 troy ounces of gold per 1 USD, equivalently the USD price is USD per troy ounce = 1 / 0.000482. Treat rates consistently.
Metal units: “unit” is “per troy ounce” in these examples. A troy ounce is approximately 31.1034768 grams. Do not confuse with avoirdupois (standard) ounces.
Timestamps and timezone: Timestamps are UNIX epoch seconds. Dates are provided in YYYY-MM-DD. Markets may be closed on weekends/holidays; use Historical and Time-Series endpoints to handle gaps.
Caching: Cache Latest responses according to your plan’s update cadence to reduce request volume (e.g., 10-minute or 60-minute granularity). Cache historical data aggressively; it’s immutable.

The fastest path: get latest metals and convert to LYD

Below is a realistic “Latest Rates” JSON response structure. We will then convert it into LYD prices by applying the USD→LYD currency rate from the same API ecosystem (consult the symbols list to verify LYD availability on your plan).

Example Latest Rates response

{
"success": true,
"timestamp": 1789605227,
"base": "USD",
"date": "2026-09-17",
"rates": {
"XAU": 0.000482,
"XAG": 0.03815,
"XPT": 0.000912,
"XPD": 0.000744,
"XCU": 0.294118,
"XAL": 0.434783,
"XNI": 0.142857,
"XZN": 0.344828
},
"unit": "per troy ounce"
}

Field notes that matter for LYD:

base: "USD" indicates rates are quoted in terms of USD. For metal M, rates[M] = troy_ounces_per_USD. If you need price in USD per troy ounce, invert: 1 / rates[M]. If you need LYD per troy ounce, multiply USD_per_troy_ounce by USD→LYD.
timestamp: Use to align data across endpoints and to drive caching TTL.
date: For daily operations and for aligning with other date-series objects.
unit: Ensure downstream systems expect troy ounces; if your SKU or ledger is in grams, convert by dividing per-troy-ounce prices by 31.1034768.

Converting USD metal prices to LYD

Let USD_per_oz = 1 / rates[XAU]. Then LYD_per_oz = USD_per_oz × USD_to_LYD. Obtain USD_to_LYD from currency rates. If your plan supports choosing LYD as the base in the request, you can get LYD per troy ounce directly by requesting base=LYD.

Production tip: isolate unit and base transformations

Create a utility in your codebase that (a) reads base, unit, and timestamp, (b) converts metal rates to an internal representation (e.g., price in “quote currency per troy ounce”), and (c) applies FX if needed. This avoids mistakes when switching between different endpoints or adding new symbols.

curl example: fetch latest rates and prepare for LYD conversion

The following curl shows a standard Latest call. Replace YOUR_ACCESS_KEY with your key. Then convert USD metals to LYD in your application using USD→LYD:

curl -s "https://metals-api.com/api/latest?access_key=YOUR_ACCESS_KEY"

To explore supported symbols and confirm LYD availability before coding, visit the Metals-API Supported Symbols.

JavaScript example: transform API response into LYD

This minimal example fetches Latest rates and demonstrates how to combine them with a USD→LYD rate you retrieve from the same API family. It converts XAU and XAG USD prices into LYD per troy ounce, then to LYD per gram.

// This snippet assumes you have obtained:
// 1) Latest metals with base=USD (example payload structure shown in docs)
// 2) A USD→LYD FX rate (confirm LYD presence on the Symbols page and your plan)
// Replace YOUR_ACCESS_KEY and add proper error handling and caching.

async function fetchLatestUSD() {
const res = await fetch("https://metals-api.com/api/latest?access_key=YOUR_ACCESS_KEY");
if (!res.ok) throw new Error("Network error");
return await res.json();
}

function usdPerOunceFromRate(rateTroyOzPerUSD) {
return 1 / rateTroyOzPerUSD;
}

function ounceToGram(pricePerOunce) {
const TROY_OUNCE_GRAMS = 31.1034768;
return pricePerOunce / TROY_OUNCE_GRAMS;
}

async function main() {
const latest = await fetchLatestUSD();

// Example: Assume you fetched USD→LYD from your currency endpoint.
// For illustration, set usdToLyd from your own retrieved value at runtime.
const usdToLyd = /* fetch USD→LYD with your access key */ null;

if (!latest.success) throw new Error("API returned unsuccessful response");
if (!usdToLyd) throw new Error("Missing USD→LYD FX rate");

const { rates, unit, base, timestamp, date } = latest;

// Convert metals to LYD per troy ounce and per gram
const metals = ["XAU", "XAG"];
const lydPrices = metals.map((m) => {
const usdPerOz = usdPerOunceFromRate(rates[m]);
const lydPerOz = usdPerOz * usdToLyd;
const lydPerGram = ounceToGram(lydPerOz);
return { symbol: m, lydPerOz, lydPerGram };
});

console.log({ base, unit, timestamp, date, lydPrices });
}

main().catch(console.error);

Implementation notes:

Always verify the “unit” field. If future endpoints support alternate units, your math should adapt.
Cache the latest response for the duration that matches your plan’s update interval.
Align the timestamp between metals and currency FX calls to avoid cross-time mispricing (or store both timestamps and surface them in your UI for transparency).

Understanding and using Historical Rates for LYD backfills

Backfilling a LYD-denominated chart requires daily historical values. Metals-API provides historical data by appending a date (YYYY-MM-DD) to the historical endpoint. You can compute LYD values by either requesting a LYD base (if supported) or by combining the historical USD metal rate with the corresponding historical USD→LYD value from the currencies data.

Historical Rates response example

{
"success": true,
"timestamp": 1789518827,
"base": "USD",
"date": "2026-09-16",
"rates": {
"XAU": 0.000485,
"XAG": 0.03825,
"XPT": 0.000915,
"XPD": 0.000748
},
"unit": "per troy ounce"
}

How to apply for LYD historical charts:

For each historical date d, compute USD_per_oz = 1 / rates[M] at d.
Obtain USD→LYD at date d, multiply: LYD_per_oz(d) = USD_per_oz(d) × USD_to_LYD(d).
Convert units if needed (e.g., LYD per gram). Store the derived LYD series.

Practical guidance:

Weekends/holidays: Metals markets may have reduced activity. Historical endpoints return daily values. If a date is missing, consider carrying forward the last known close or interpolate as your analytics require. Always log how you handle non-trading days.
Time alignment: Ensure FX rates are collected for the same date as the metals. Mismatched dates introduce errors in LYD conversion.
Caching: Historical data is immutable; cache indefinitely to minimize costs and latency.

Time-Series for LYD analysis over intervals

The Time-Series endpoint returns daily observations across a date range—perfect for generating LYD price histories or rolling analytics. Retrieve the time series in USD, then apply historical USD→LYD rates to produce LYD-aligned series.

Time-Series response example

{
"success": true,
"timeseries": true,
"start_date": "2026-09-10",
"end_date": "2026-09-17",
"base": "USD",
"rates": {
"2026-09-10": {
"XAU": 0.000485,
"XAG": 0.03825,
"XPT": 0.000915
},
"2026-09-12": {
"XAU": 0.000483,
"XAG": 0.0382,
"XPT": 0.000913
},
"2026-09-17": {
"XAU": 0.000482,
"XAG": 0.03815,
"XPT": 0.000912
}
},
"unit": "per troy ounce"
}

How to use for LYD:

For each date in rates, invert the USD base for the selected metals to compute USD per troy ounce.
Retrieve USD→LYD for each date, multiply to get LYD per troy ounce.
Aggregate results as needed (moving averages, realized volatility, drawdowns) in LYD.

Performance advice:

Batch requests by date range rather than date-by-date loops to reduce latency and API calls.
Store normalized (base=USD, unit=troy ounce) canonical data in your data lake; derive LYD and other conversions in downstream transformations for flexibility.

Fluctuation endpoint to quantify LYD moves

When alerting stakeholders or reporting P&L, percent and absolute changes matter. The Fluctuation endpoint returns start_rate, end_rate, absolute change, and percentage change for a date window. These figures are in the API’s base, so if the base is USD, convert the resulting prices into LYD for end-user display, or apply FX to both start and end before computing LYD-native changes.

Fluctuation response example

{
"success": true,
"fluctuation": true,
"start_date": "2026-09-10",
"end_date": "2026-09-17",
"base": "USD",
"rates": {
"XAU": {
"start_rate": 0.000485,
"end_rate": 0.000482,
"change": -3.0e-6,
"change_pct": -0.62
},
"XAG": {
"start_rate": 0.03825,
"end_rate": 0.03815,
"change": -0.0001,
"change_pct": -0.26
},
"XPT": {
"start_rate": 0.000915,
"end_rate": 0.000912,
"change": -3.0e-6,
"change_pct": -0.33
}
},
"unit": "per troy ounce"
}

Using this for LYD-presentations:

If you only display percentage changes, the FX base is irrelevant provided USD→LYD did not fluctuate disproportionately relative to the period—however, for rigorous LYD-native returns, recompute in LYD space by converting start and end to LYD prices before calculating change_pct.
For absolute LYD changes per troy ounce, convert start and end to LYD per troy ounce and recompute change and change_pct in LYD.

OHLC for LYD candlesticks and daily summaries

Open, High, Low, Close (OHLC) encapsulates intraday dynamics into a compact daily profile. Use OHLC to draw candlestick charts in LYD or to compute ranges and average true range (ATR) in LYD terms.

OHLC response example

{
"success": true,
"timestamp": 1789605227,
"base": "USD",
"date": "2026-09-17",
"rates": {
"XAU": {
"open": 0.000485,
"high": 0.000487,
"low": 0.000481,
"close": 0.000482
},
"XAG": {
"open": 0.03825,
"high": 0.0383,
"low": 0.0381,
"close": 0.03815
},
"XPT": {
"open": 0.000915,
"high": 0.000918,
"low": 0.00091,
"close": 0.000912
}
},
"unit": "per troy ounce"
}

How to transform for LYD:

For each field f in {open, high, low, close}, compute USD_per_oz_f = 1 / rate_f (because base=USD with troy_ounces_per_USD). Then LYD_per_oz_f = USD_per_oz_f × USD_to_LYD for the relevant day.
Use LYD_per_oz_f to render candlesticks in your charting library and compute LYD-native ranges.

Bid/Ask for spreads, execution, and markups in LYD

When your workflow requires trade execution simulation, liquidity analytics, or retail markup logic, Bid/Ask is essential. The endpoint returns bid, ask, and spread in the API base. Convert the bid and ask to LYD before applying margins in local currency.

Bid/Ask response example

{
"success": true,
"timestamp": 1789605227,
"base": "USD",
"date": "2026-09-17",
"rates": {
"XAU": {
"bid": 0.000481,
"ask": 0.000483,
"spread": 2.0e-6
},
"XAG": {
"bid": 0.0381,
"ask": 0.0382,
"spread": 0.0001
},
"XPT": {
"bid": 0.000911,
"ask": 0.000913,
"spread": 2.0e-6
}
},
"unit": "per troy ounce"
}

To compute LYD bid/ask:

Invert bid and ask correctly: USD_per_oz_bid = 1 / ask_rate (since ask is the price to buy the USD in ounces terms), USD_per_oz_ask = 1 / bid_rate (to sell). Alternatively, convert carefully by first transforming the per-USD ounce quotes into per-ounce USD quotes while maintaining the side convention. Keep your market microstructure logic consistent across metals and FX.
Multiply USD_per_oz by USD→LYD to express in LYD per troy ounce.
Apply retail markup in LYD if you sell to end customers.

Convert endpoint for direct conversions

The Convert endpoint is useful when you want a quick one-off conversion from one asset or currency into another. Below is a representative example converting USD to XAU. You can apply the same logic to two-step conversions (e.g., USD → XAU then USD → LYD as a separate operation) or directly request conversions matching your workflow.

Convert response example

{
"success": true,
"query": {
"from": "USD",
"to": "XAU",
"amount": 1000
},
"info": {
"timestamp": 1789605227,
"rate": 0.000482
},
"result": 0.482,
"unit": "troy ounces"
}

Observations:

query: Contains from, to, and amount. When the from/to are currencies or metals, validate symbol support on the Metals-API Supported Symbols.
info.rate: The applied rate; store alongside timestamp to maintain auditability in order management or billing systems.
result: The numeric conversion output in the unit implied by the “to” symbol (e.g., troy ounces for XAU).

For LYD workflows, you might either:

Convert USD to XAU, then multiply USD by USD→LYD, or
Convert USD directly to LYD for fiat calculations, then apply LYD metal pricing from another endpoint.

Intraday and high-frequency LYD dashboards

If you need more frequent updates than end-of-day or daily snapshots, the Intraday endpoint supports finer granularity for a single symbol. To deliver LYD intraday dashboards, pull the intraday series for metals and either request LYD base (if supported) or multiply by the synchronous USD→LYD rate stream you manage. Because intraday FX can move meaningfully, ensure your LYD conversion uses intraday-aligned FX values where possible.

Carat endpoint: pricing jewelry-grade gold in LYD

Retailers and jewelers often quote gold by carat. The Carat endpoint provides gold rates by carat tiers when you append a base. With the response, convert to LYD by the same FX method. Then, combine with your making charges, wastage assumptions, and tax/VAT rules in LYD to finalize retail pricing.

Lowest/Highest and extremes in LYD

The Lowest/Highest endpoint provides the extremes for a given date, which is useful for range reporting or price bands in LYD. After retrieving the values in USD terms (if base=USD), convert to LYD per troy ounce with USD→LYD for that day. Surface the results in dashboards as LYD low/high and derived risk ranges.

Historical LME for industrial metals and LYD-denominated risk

For industrial use cases (e.g., aluminum hedging or copper procurement), the Historical LME endpoint supports symbols with history back to 2008. Obtain per-USD ounce rates, invert to USD per ounce, and convert to LYD to align with your Libyan budgets and contracts. Always confirm the specific LME symbol codes and their units on the Metals-API Supported Symbols.

Supported symbols and validation

Before implementing LYD flows, confirm the presence of LYD and each metal you plan to consume. The Metals-API Supported Symbols page is your source of truth. Integrate a boot-time validator in your service to fetch the symbols list and assert that required symbols (e.g., XAU, XAG, LYD) are available. This fails fast in CI/CD when configurations drift.

Designing a LYD price pipeline: architecture and best practices

Recommended architecture

Ingestion layer: Pull Latest/Intraday for metals and currency rates at required cadence.
Normalization: Store canonical data as provided (base, timestamp, unit) without mutation.
Transformation service: Convert to LYD, invert rates, and adjust units (e.g., LYD/gram) as demanded by your domain.
Caching and snapshotting: Cache Latest for the plan’s update window, snapshot intraday data for replay and audit.
Analytics layer: Compute returns, moving averages, rolling vol, and alerts in LYD.
Delivery: Serve REST/GraphQL endpoints or message buses (e.g., Kafka) to downstream systems and UIs.

Data correctness

Never assume ounces equals troy ounces; always check the “unit” field.
Keep FX and metal timestamps aligned for LYD conversions; if asynchronous, annotate downstream with both timestamps and a “conversion_latency_ms” metric.
Document how you handle market closures and missing dates.

Performance and scalability

Batch requests: Prefer Time-Series and Fluctuation to reduce request volume for multi-day analysis.
Local caching: Use memory caches for hot symbols (XAU, XAG) and persistent caches for historical.
Idempotency: Make ingestion idempotent; de-duplicate by timestamp and symbol.
Async processing: Decouple UI from ingestion via queues; serve cached or last-known-good values during refresh cycles.

Security best practices

Protect your API key: Store in server-side secrets, never in public client code.
Network controls: Restrict outbound egress only to required domains from your backend services.
Input validation: Sanitize query parameters before calling the API (symbols, dates) to avoid malformed requests.
Observability: Log success flags and HTTP errors; alert on elevated failure ratios.

Practical step-by-step: LYD pricing across key endpoints

Step 1: Latest for real-time LYD display

Call Latest for metals with base=USD as shown above.
Obtain USD→LYD via your currency rates source (confirm LYD symbol).
Compute LYD per troy ounce and, if necessary, LYD per gram.
Cache for the plan’s update interval to avoid unnecessary calls.

Step 2: Historical for LYD chart backfills

Request the Historical endpoint per date or use Time-Series for a date range.
For each date, invert metal rates to USD per troy ounce, then multiply by USD→LYD at the same date.
Persist the derived LYD time series for charts and analytics.

Step 3: Fluctuation for LYD change reporting

Use Fluctuation to obtain start and end rates.
Convert both endpoints to LYD values and recompute absolute and percent changes in LYD.
Display LYD-native results in reports and alerts.

Step 4: OHLC and Bid/Ask for LYD execution and analytics

OHLC: Convert each of open, high, low, close to LYD per troy ounce (and per gram if needed).
Bid/Ask: Carefully handle inversion; compute LYD bid/ask and spreads for execution simulation.
Integrate with your OMS or pricing engine in LYD.

Detailed field-by-field explanations and LYD implications

Common fields across endpoints

success: Boolean guard. If false, avoid using the payload; employ retry logic or fall back to cached values.
timestamp: Drives caching, backtesting alignment, and “last updated” UI badges.
base: Key to interpreting rate direction. When base=USD, rates for metals are in troy_ounces_per_USD and must be inverted for price per ounce in USD.
date: Human-readable ISO date for grouping and analytics windows.
unit: Always check and convert to your business unit (e.g., grams).

Latest and Historical rates fields

rates: Symbol-to-number map. For metals under base=USD, it is troy ounces per USD. For currencies, it is analogous but consult docs for exact semantics when working across fiat pairs.

Time-Series-specific fields

timeseries: true denotes a date-range response.
start_date/end_date: Validate requested vs returned windows; pad gaps with last-known or NA depending on your use case.
rates[YYYY-MM-DD]: Per-day symbol map in the same units/base context.

Fluctuation-specific fields

fluctuation: Indicates a change series.
rates[M].start_rate / end_rate: The two endpoints of measurement; convert both to LYD before computing LYD-native delta/percent.
rates[M].change / change_pct: Useful in dashboards; for LYD-native, recompute after FX application.

OHLC-specific fields

rates[M].open/high/low/close: Convert each point to LYD per troy ounce for candlesticks, then optionally to grams for retail SKU labels.

Bid/Ask-specific fields

rates[M].bid/ask/spread: Precisely define your inversion convention so that “bid” and “ask” maintain execution meaning post-conversion. Ensure you do not inadvertently flip sides during inversion and FX multiplication.

Edge cases and troubleshooting for LYD implementations

Weekend behavior: Expect fewer updates; carry last-close forward but visually denote “market closed” or “stale” badges.
Inversion errors: If your USD per ounce jumps in the wrong direction relative to rates, re-check that you inverted troy_ounces_per_USD correctly.
FX alignment: If LYD value oscillates more than expected, verify that metals and USD→LYD timestamps are matched or document any lag.
Missing symbols: If LYD is not showing in your results, re-validate symbol support on the Supported Symbols page and check your plan level.
Rounding: For retail, round to sensible precision (e.g., LYD per gram to 3–4 decimals) and disclose rounding policy in invoices.

Data governance: auditability for regulated workflows

Store raw responses: Persist the exact JSON payload, timestamp, and request parameters per ingestion cycle for audit trails.
Derivation logs: Record how you computed LYD values (inversion method, FX source, unit conversions) alongside job IDs.
Reproducibility: Tag historical EOD snapshots and reference them in P&L or invoice documents.

Innovation themes for LYD metal pricing in modern stacks

Digital transformation in metal markets

Libyan retail and industrial buyers increasingly expect live, transparent LYD prices. By leveraging Metals-API and common cloud stacks, teams can modernize legacy spreadsheets into resilient APIs and dashboards that update in near real time.

Technological advancement and smart integration

Marry the API with event-driven architectures, serverless functions for periodic refresh, and robust client-side caching. Embed LYD pricing into mobile POS apps, procurement bots, and automated re-pricing pipelines.

Data analytics and insights

Compute LYD-native rolling volatility, seasonal effects, LYD-hedged returns, and correlations against local macro indicators. Because you control the base and unit transforms, your analytics remain consistent across teams.

Future trends and possibilities

Intraday LYD volatility targeting for retail markups.
Automated LYD hedging triggers based on OHLC bands or Bid/Ask spreads.
LYD-denominated synthetic indices for a Libyan manufacturing cost basket (XCU, XAL, XNI).

Endpoint-by-endpoint: deeper guidance through examples you will actually use

Latest: power LYD price tickers and POS updates

Purpose: Fetch the freshest snapshot of metal rates. Use to display current LYD prices in apps and on the web, with caching aligned to your plan’s update cadence.

Key parameters to consider:

access_key: Your API key from the Metals-API Website.
symbols: Select only the symbols you need to reduce payload size (e.g., XAU,XAG,XAL).
base: If supported and set to LYD, you can directly receive LYD-based quotes; otherwise default is USD.

Response usage:

Invert to get USD per ounce, multiply by USD→LYD to derive LYD per ounce; convert to grams for retail labels.
Record timestamp for display (“last updated: …”).

Common pitfalls:

Using rates directly as USD per ounce values without inversion causes major pricing errors.
Forgetting to convert to grams when your products are priced that way.

Historical: backfill and reconcile LYD history

Purpose: Retrieve historical metal rates for a specific date. This is crucial for backtesting, accounting, and historical invoice reconciliation in LYD.

Parameters:

date: YYYY-MM-DD you need to backfill (e.g., “2026-09-16”).
base, symbols: As above, subject to plan capabilities.

Response usage:

Transform to LYD using matched-date FX.
Persist immutable historical records in a warehouse.

Pitfalls:

Mismatching FX dates across metals and currency data will skew LYD backfills.

Time-Series: batch historical LYD workflows

Purpose: Retrieve a continuous historical window. Ideal for generating LYD charts, computing windowed stats, and running regressions or anomaly detection.

Parameters:

start_date, end_date: Choose the window you need.
symbols: Limit to required metals for performance.

Response usage:

Vectorize inversion and LYD conversion over each date.
Cache results; historical data does not change.

Optimization:

Pre-compute LYD series overnight for frequently used date ranges (e.g., last 1y, 3y).

Fluctuation: summarize LYD changes for reporting

Purpose: Provide start/end snapshot and deltas. This is perfect for daily LYD change reports, alert messages, and performance summaries.

Response usage:

Convert start and end to LYD, then compute LYD-native deltas and percentage changes.

Edge case:

When FX is volatile, computing deltas in USD and then multiplying by a spot USD→LYD can misstate LYD-native performance; always recompute in LYD space.

OHLC: LYD candlesticks and volatility

Purpose: Provide open/high/low/close for selected symbols. Recommended for candlestick charts and volatility metrics.

Response usage:

Convert each field to LYD per troy ounce.
Derive LYD-based technical indicators (ATR, Bollinger Bands).

Bid/Ask: LYD execution and spreads

Purpose: Provide current bid and ask for metals. Useful for retail markups, execution modeling, and liquidity monitoring.

Response usage:

Maintain side integrity when inverting and converting to LYD; document your convention to avoid confusion.

Convert: on-demand conversions

Purpose: Convert amounts between currencies and metals. Good for quick calculators and checkout flows.

Response usage:

Use “result” and “unit” to drive UX outputs. For LYD flows, pair with USD→LYD as needed.

Carat: consumer-friendly LYD pricing

Purpose: Gold-by-carat quotes align with consumer-grade pricing. Combine with LYD conversion and SKU-level weight to create retail-ready price labels and quotes.

Lowest/Highest: LYD ranges and risk bands

Purpose: Price extremes help define LYD stop levels, budget bands, and stress tests.

Historical LME: LYD industrial metal analytics

Purpose: Long history supports robust LYD cost-of-goods analysis for copper, aluminum, nickel, zinc, etc. Confirm each LME symbol and unit on the Supported Symbols page.

Error handling and resilience

Guard with success: Always check success === true; otherwise, trigger retries with exponential backoff and a bounded max retry count.
Fallbacks: Serve cached last-known-good values if the live call fails; annotate UI with “stale” badges and timestamps.
Validation: Before using rates, verify existence for required symbols; if missing, log and continue partial rendering with clear UI notices.

Caching and cost control

Latest: Cache according to update interval; align refresh timers with plan granularity.
Historical: Cache indefinitely after first retrieval.
Time-Series: Precompute common ranges and store results for low-latency analytics.

Testing and QA for LYD pipelines

Unit tests: Inversion math, FX application, unit conversions (oz↔g) with known constants.
Property tests: Ensure monotonicity of inversions and consistency under base changes.
Golden files: Pin sample JSON and expected LYD outputs to prevent regressions.

Governance, compliance, and audit

Retention: Keep raw payloads, derived LYD series, and metadata for compliance horizons.
Reconciliation: Periodically reconcile LYD results against independent sources for sanity checks.

Comprehensive examples: walk-throughs using the provided responses

From Latest to LYD dashboard with provided example

Given:

{
"base": "USD",
"rates": { "XAU": 0.000482, "XAG": 0.03815 },
"unit": "per troy ounce",
"timestamp": 1789605227,
"date": "2026-09-17"
}

Steps:

Compute USD_per_oz_XAU = 1 / 0.000482
Compute USD_per_oz_XAG = 1 / 0.03815
Multiply each by USD→LYD (same-time FX) to produce LYD_per_oz.
Divide by 31.1034768 for LYD_per_gram.
Display with timestamp and date. Cache according to update cadence.

From Historical to LYD EOD backfill

Given:

{
"base": "USD",
"date": "2026-09-16",
"rates": { "XAU": 0.000485, "XAG": 0.03825, "XPT": 0.000915, "XPD": 0.000748 },
"unit": "per troy ounce"
}

For date 2026-09-16:

Invert each rate to USD per oz.
Multiply each by USD→LYD for 2026-09-16.
Persist LYD per oz and LYD per gram to power daily charts and P&L.

From Time-Series to LYD performance report

Given a date range output:

{
"timeseries": true,
"start_date": "2026-09-10",
"end_date": "2026-09-17",
"base": "USD",
"rates": {
"2026-09-10": { "XAU": 0.000485, "XAG": 0.03825, "XPT": 0.000915 },
"2026-09-12": { "XAU": 0.000483, "XAG": 0.0382, "XPT": 0.000913 },
"2026-09-17": { "XAU": 0.000482, "XAG": 0.03815, "XPT": 0.000912 }
},
"unit": "per troy ounce"
}

Process:

For each date, invert to USD per oz and convert to LYD per oz with corresponding FX.
Compute LYD returns per date (e.g., day-over-day percent change).
Aggregate into rolling windows (7-day, 30-day) in LYD for executive summaries.

From Fluctuation to LYD-native deltas

Given:

{
"fluctuation": true,
"start_date": "2026-09-10",
"end_date": "2026-09-17",
"base": "USD",
"rates": {
"XAU": { "start_rate": 0.000485, "end_rate": 0.000482, "change": -3.0e-6, "change_pct": -0.62 },
"XAG": { "start_rate": 0.03825, "end_rate": 0.03815, "change": -0.0001, "change_pct": -0.26 },
"XPT": { "start_rate": 0.000915, "end_rate": 0.000912, "change": -3.0e-6, "change_pct": -0.33 }
},
"unit": "per troy ounce"
}

For LYD-accurate deltas:

Convert start_rate and end_rate for each metal into LYD per oz (invert then multiply by USD→LYD at the respective endpoints), then recompute change and change_pct in LYD.

From OHLC and Bid/Ask to LYD execution analytics

OHLC:

{
"base": "USD",
"rates": {
"XAU": { "open": 0.000485, "high": 0.000487, "low": 0.000481, "close": 0.000482 }
},
"unit": "per troy ounce"
}

Bid/Ask:

{
"base": "USD",
"rates": {
"XAU": { "bid": 0.000481, "ask": 0.000483, "spread": 2.0e-6 }
},
"unit": "per troy ounce"
}

Compute LYD candlestick values and LYD bid/ask spreads with careful inversion and synchronized USD→LYD application.

Developer checklist for robust LYD integration

Confirm LYD availability and required metal symbols on the Supported Symbols page.
Implement inversion utilities and FX application functions with unit tests.
Normalize all inputs, derive LYD consistently, and document the transformation process.
Cache aggressive where allowed; rate-limit your client according to plan specs.
Fallback and alert on failures; show staleness in UI to maintain trust.

Get started

Visit the Metals-API Website to create an account and obtain your free API key. Review parameters and examples in the Metals-API Documentation, then confirm the presence of LYD and your target metal symbols on the Supported Symbols list. With those in place, you can deliver LYD-denominated pricing to your users in minutes.

Conclusion

With Metals-API, delivering accurate, reliable LYD-denominated metal prices becomes a straightforward engineering task. You’ve seen how to:

Use Latest, Historical, Time-Series, Fluctuation, OHLC, Bid/Ask, Convert, Intraday, Carat, Lowest/Highest, Historical LME, and Supported Symbols features.
Transform USD-based data into LYD per troy ounce and per gram—with correct inversion and unit handling.
Architect scalable pipelines with caching, retries, data governance, and LYD-native analytics.

Start integrating today: get your API key at the Metals-API Website and follow the Documentation for production-ready patterns.

FAQ

Does Metals-API support Libyan Dinar (LYD)?

Check the current Metals-API Supported Symbols. If LYD is listed for your plan, you can either set base=LYD (where supported) or convert USD-denominated results using USD→LYD.

How do I convert USD metal prices to LYD correctly?

If base=USD and rates[XAU] is troy_ounces_per_USD, invert to get USD per troy ounce: USD_per_oz = 1 / rates[XAU]. Then multiply by USD→LYD to get LYD per troy ounce. Divide by 31.1034768 for LYD per gram.

What about weekends and holidays?

Expect fewer or no updates on closed days. For charts and analytics, either carry forward the previous close or mark gaps explicitly. Historical data can be used to fill EOD values.

How should I cache responses?

Cache Latest according to your plan’s update frequency. Cache Historical and Time-Series indefinitely after the first load. Precompute common LYD windows (7-day, 30-day, 1-year) for low-latency UI.

Are there rate limits?

Usage policies depend on your plan. Consult the Documentation and monitor your request volume. Employ caching and batched Time-Series requests to optimize.

How do I handle bid/ask properly when converting to LYD?

Preserve side semantics when inverting from troy_ounces_per_USD to USD_per_oz. Then multiply by USD→LYD. Do not swap bid and ask during inversion—document the convention in your codebase.

Can I price jewelry by carat in LYD?

Yes. Use the Carat endpoint for carat-based gold rates, convert to LYD, then apply making charges, wastage, and taxes in LYD.

Where do I start?

Sign up and get your API key at the Metals-API Website, then follow the Documentation to implement Latest, Historical, and Time-Series endpoints first. Validate symbols on the Supported Symbols list before going live.

Ready to use Metals-API?

Try it now!