Get Ahmedabad Silver   (AHME-XAG) - Per Gram (monthly) Historical Prices using this API

Building an “Ahmedabad Silver (AHME-XAG) – per gram – monthly historical price” series is a practical requirement across jewelry pricing, industrial procurement planning, and fintech analytics. In this guide, we’ll show you how to use the Metals-API to extract monthly historical Silver (XAG) prices, convert result units from “per troy ounce” to “per gram,” and structure the output so you can maintain an “AHME-XAG” series in your own database. We’ll cover the exact endpoints you need (time-series for month-by-month values, historical for single-day lookups, and convert for cross-asset math), provide executable examples, and explain the critical details—base currency, units, timestamps and time zones, and caching—that make or break accuracy at scale.

What exactly is “AHME-XAG” and why monthly per-gram matters

“AHME-XAG” in this article refers to a working label you can use for a derived data series: Silver (XAG), priced per gram, normalized for your Ahmedabad workflows. This can drive:

• Monthly catalog repricing for jewelers and retailers who quote per gram.
• Manufacturing and smart factory MRP/ERP materials cost rollups with consistent monthly valuations.
• Commodities quant analytics and risk dashboards where each city or region has a normalized series you compare side-by-side.
• Digital market analysis where pricing signals join demand data and production telemetry to optimize supply chains.

Because many contracts, catalog refreshes, or dashboards run on monthly cycles, we’ll show you how to capture daily XAG through the Metals-API and aggregate it to monthly per-gram values you can tag as “AHME-XAG.”

Silver (XAG) in modern industry and manufacturing

Silver’s role is broader than bullion: conductivity and reflectivity make it vital in electronics, photovoltaics, EV components, medical devices, and advanced packaging. For smart manufacturing and Industry 4.0 ecosystems, a reliable, normalized price feed shapes inventory decisions, hedging triggers, and WIP valuation. By integrating a stable “AHME-XAG per gram monthly” series into ERP or data lake pipelines, you can link price trends to production metrics, e.g., yield modeling or BOM optimization. For digital market analysis, correlating XAG prices with sensor data, logistics delays, or consumer demand can surface early warnings or opportunities.

What you’ll build with Metals-API

We’ll use the following Metals-API capabilities to produce the AHME-XAG monthly series:

• Time-Series Endpoint: pull daily XAG data over a given period, then aggregate to monthly per-gram closes or averages.
• Historical Endpoint: backfill or audit a specific day’s XAG value (e.g., last business day of month).
• Convert Endpoint: apply cross conversions if you need to combine XAG with a currency conversion workflow in your own app logic. We will keep request examples focused on XAG and unit conversions; if you convert to a local currency, do so in your system using Metals-API currency rates per your plan.

For everything else, refer to the comprehensive Metals-API Documentation and the exhaustive list of available tickers at the Metals-API Supported Symbols page. To start experimenting immediately, visit the Metals-API Website and get a free API key.

Core data model: unit, base currency, and how to compute “per gram”

By default, Metals-API responses are quoted with base currency “USD” and units “per troy ounce.” In practice, that means:

• rates.XAG is a number representing “troy ounces of silver you receive for 1 USD,” i.e., XAG per USD.
• To get “USD per troy ounce,” you invert that value: USD_per_oz = 1 / rates.XAG.
• To get “USD per gram,” divide by 31.1034768 (1 troy ounce = 31.1034768 grams): USD_per_g = (1 / rates.XAG) / 31.1034768.

If your local display currency is INR (common for Ahmedabad), you’ll combine the USD-per-gram with USD/INR (or INR/USD) from your currency workflow. While we won’t show INR-specific requests in the examples below (to stay within this article’s constrained symbol list), you can use the Convert endpoint or a separate currency rate call as supported by your plan, then complete the math in your application:

• If you obtain USD_per_INR: INR_per_g = USD_per_g / USD_per_INR.
• If you obtain INR_per_USD: INR_per_g = USD_per_g × INR_per_USD.

Finally, you’ll store the result in your database as “AHME-XAG” with the granularity you choose (usually last business day close or month average). The “AHME” tag is your internal convention for Ahmedabad normalization.

Monthly series approach: recommended pipeline

1. Choose your monthly convention:
   • Month-end close (prefer last business day’s close).
   • Monthly average (arithmetic mean of daily closes).
2. Pull daily XAG using the Time-Series endpoint for the month (or a wide window if backfilling many months).
3. Convert each daily value from “XAG per USD” to “USD per gram.”
4. Aggregate to your chosen monthly convention.
5. Optionally convert to local currency using your FX series and save the “AHME-XAG per gram” monthly point.
6. Cache each completed month to avoid re-querying historical data unnecessarily.

Endpoint 1: Time-Series (daily XAG to monthly “AHME-XAG per gram”)

Use the Time-Series endpoint when you need daily history between two dates. This is the workhorse for building monthly data because it gives you all days in the range, which you can then aggregate.

What it does

Returns daily XAG rates between a start and end date. Responses are base USD and per troy ounce by default, with a timestamp and a dictionary keyed by date.

Parameters you’ll care about

• start_date: inclusive date, format YYYY-MM-DD.
• end_date: inclusive date, format YYYY-MM-DD.
• symbols: set to XAG to keep payload minimal and focused on silver.
• access_key: your API key.

Sample response for XAG over a week

{
"success": true,
"timeseries": true,
"start_date": "2026-09-11",
"end_date": "2026-09-18",
"base": "USD",
"rates": {
"2026-09-11": {
"XAG": 0.03825
},
"2026-09-13": {
"XAG": 0.0382
},
"2026-09-18": {
"XAG": 0.03815
}
},
"unit": "per troy ounce"
}

How to use this response

• rates[date]["XAG"] is XAG per USD for that day.
• Compute USD per troy ounce by inversion: USD_per_oz = 1 / XAG.
• Compute USD per gram: USD_per_g = (1 / XAG) / 31.1034768.
• If you’re building a monthly average, compute the mean of USD_per_g across the days that fall in the month. For month-end close, pick the latest business day you have for that month.

Realistic curl request

Replace YOUR_API_KEY with your key from the Metals-API Website.

curl "https://metals-api.com/api/timeseries?access_key=YOUR_API_KEY&start_date=2026-09-01&end_date=2026-09-30&symbols=XAG"

Example JavaScript code: build a monthly “AHME-XAG per gram” value from daily XAG

This example fetches daily XAG for a given month, converts to per-gram USD, and aggregates to a month-end close value (falling back to the last available day in the month). You can incorporate a currency conversion step separately using your FX rates if needed.

async function fetchMonthlyAhmeXagPerGram(accessKey, monthStart, monthEnd) {
const url = new URL("https://metals-api.com/api/timeseries");
url.searchParams.set("access_key", accessKey);
url.searchParams.set("start_date", monthStart); // e.g., "2026-09-01"
url.searchParams.set("end_date", monthEnd); // e.g., "2026-09-30"
url.searchParams.set("symbols", "XAG");

const res = await fetch(url.toString());
if (!res.ok) {
throw new Error(`HTTP ${res.status}`);
}
const data = await res.json();
if (!data.success || !data.timeseries || data.base !== "USD") {
throw new Error("Unexpected response shape");
}

const OZ_PER_TROY_OUNCE = 1; // conceptual
const GRAMS_PER_TROY_OUNCE = 31.1034768;

// Sort dates ascending to locate last available business day in the month
const dates = Object.keys(data.rates).sort();

let lastAvailableDate = null;
let lastUsdPerGram = null;
const dailyUsdPerGram = [];

for (const d of dates) {
const xag = data.rates[d]?.XAG;
if (typeof xag !== "number" || xag <= 0) continue;

const usdPerOunce = 1 / xag; // since xag is "XAG per USD"
const usdPerGram = usdPerOunce / GRAMS_PER_TROY_OUNCE;

dailyUsdPerGram.push({ date: d, usdPerGram });
lastAvailableDate = d;
lastUsdPerGram = usdPerGram;
}

if (!lastAvailableDate || lastUsdPerGram == null) {
throw new Error("No valid daily XAG data returned for the month");
}

// Month-end close series point for "AHME-XAG"
return {
symbol: "AHME-XAG",
period_start: monthStart,
period_end: monthEnd,
value_per_gram: lastUsdPerGram,
currency: "USD",
unit: "gram",
source_dates: dailyUsdPerGram.map(d => d.date),
last_business_day: lastAvailableDate
};
}

Performance, caching, and reliability tips for Time-Series

• Minimize the window: request only the month you need instead of long ranges if you’re updating incrementally.
• Cache completed months: once a month is finalized, store the computed AHME-XAG value; historical backfills rarely change.
• Handle weekends and market closures: some dates will be missing; your last-business-day logic should gracefully skip non-trading days.
• Timezone: API dates are calendar dates; align to UTC when comparing with your internal timestamps.
• Validation: check success === true and unit === "per troy ounce" to catch misconfigurations early.

Endpoint 2: Historical (single-date backfill and audits)

When you just want one day’s XAG rate (e.g., the last business day of a month you’ve precomputed), the Historical endpoint is simpler than a range pull.

What it does

Returns XAG rates for a specific date, by default base USD and unit per troy ounce. Ideal for spot auditing or backfilling a specific date in your “AHME-XAG per gram” series.

Parameters you’ll care about

• date: the target date, format YYYY-MM-DD.
• symbols: XAG.
• access_key: your key.

Sample response for a specific date

{
"success": true,
"timestamp": 1789604044,
"base": "USD",
"date": "2026-09-17",
"rates": {
"XAG": 0.03825
},
"unit": "per troy ounce"
}

How to use this response

• Compute USD per gram the same way: USD_per_g = (1 / 0.03825) / 31.1034768.
• Use this as your month-end close if this is the last business day of the month in question.
• Record timestamp and date for data lineage. The date is the valuation date; the timestamp reflects when the rate was fixed in the system.

Common scenarios for Historical

• Backfill a missing monthly close.
• Verify a previously-stored monthly number by recomputing per-gram value for the last business day.
• Spot-checks during audits or reconciliation.

Operational tips for Historical

• Store all computed intermediate values (XAG rate, USD/oz, USD/g) alongside your final “AHME-XAG” point for transparency.
• Use idempotent jobs: historical queries should be deterministic; re-running should yield the same result unless your input logic changes.

Endpoint 3: Convert (useful for cross-conversions)

If your “AHME-XAG per gram” must be presented in a local currency, you can use the Convert endpoint for cross-asset math in your application workflows. While we won’t include a country-currency symbol in the example request here, this endpoint is relevant when you combine XAG and currency conversions in your app logic.

What it does

Converts an amount from one symbol to another using the API’s current rates and returns a simple result and the rate used.

Sample response (from the API examples)

{
"success": true,
"query": {
"from": "USD",
"to": "XAG",
"amount": 1000
},
"info": {
"timestamp": 1789690444,
"rate": 0.03815
},
"result": 38.15,
"unit": "troy ounces"
}

How to apply it

• To reason about per-gram logic, it can be easier to convert “1 USD” to “XAG,” invert, and adjust for grams as shown earlier.
• If you incorporate currency conversions, request the currency rates you need per your plan, then compute per-gram values in your stack.

Convert endpoint usage guidance

• Cache conversions used for a given day to ensure consistent downstream results across services.
• Be explicit in your data lineage: store “rate” and “timestamp” fields.

End-to-end: computing “AHME-XAG per gram” monthly

Here’s the concrete, consistent approach that works across ERP, trading, and analytics stacks:

1. For each target month, query the Time-Series endpoint for XAG from the 1st to the last day of the month.
2. Convert each daily point to USD_per_gram by inverting and dividing by 31.1034768.
3. Choose the last available business day (or compute monthly average) and save that as your “AHME-XAG per gram” monthly value in USD.
4. If you need local display currency, apply your USD-to-local conversion using Metals-API currency rates in your own logic (not shown in example requests here), producing “AHME-XAG per gram” in local currency.
5. Repeat monthly and cache results. Expose this as a service endpoint to your internal consumers, and index by period_end (e.g., 2026-09-30) and symbol “AHME-XAG.”

Understanding the response fields you will actually use

• success: Boolean integrity check—always verify before using numeric fields.
• timeseries (Time-Series only): Confirms you requested a range; when true, expect rates keyed by date.
• base: Currency context; default is “USD.” Your unit conversion math relies on knowing base.
• date (Historical): The valuation date for which rates were returned.
• timestamp: A server timestamp for the fix used; store it for auditing.
• rates: The primary object you’ll parse. For Time-Series, it’s a map of dates to per-day objects. For Historical, it’s a single-day object. Access rates.XAG to get silver’s rate relative to base.
• unit: Clarifies “per troy ounce.” Your per-gram conversion depends on this being correct.

Worked example: request + realistic response + the math

Request (Time-Series) to get daily XAG across September 2026:

curl "https://metals-api.com/api/timeseries?access_key=YOUR_API_KEY&start_date=2026-09-01&end_date=2026-09-30&symbols=XAG"

Suppose your result for a subset looked like the earlier example:

{
"success": true,
"timeseries": true,
"start_date": "2026-09-11",
"end_date": "2026-09-18",
"base": "USD",
"rates": {
"2026-09-11": { "XAG": 0.03825 },
"2026-09-13": { "XAG": 0.0382 },
"2026-09-18": { "XAG": 0.03815 }
},
"unit": "per troy ounce"
}

For 2026-09-18:

• XAG per USD = 0.03815
• USD per troy ounce = 1 / 0.03815
• USD per gram = (1 / 0.03815) / 31.1034768

Use the last available day in the month as your monthly close, or average daily USD per gram for a monthly mean. Store it as your “AHME-XAG per gram” for the month. You can then apply local currency conversion in your logic to get a locally displayed price for Ahmedabad workflows.

Choosing a monthly convention and handling market calendars

Markets close on weekends and holidays, and your monthly series must define how to select a month-end point:

• Last business day close: recommended for pricing; it aligns with most reporting conventions.
• Monthly average: common for smoothing volatility and procurement budgeting.

Implementation tips:

• Always sort returned dates and choose the latest available date within [monthStart, monthEnd].
• Do not attempt to “fill” weekends with the previous day’s value unless your downstream analytics require that transformation; prefer to compute directly from available business days.

Advanced aggregation patterns for AHME-XAG

• Business-day-weighted averages: average only actual trading days.
• End-of-month (EOM) snap: store EOM and, optionally, EOW (end-of-week) for intra-month monitoring.
• Rolling 3-month or 12-month averages: useful for budgeting and sensitivity analysis in manufacturing and supply chain planning.

Data lineage and reproducibility

Every “AHME-XAG per gram” monthly point should be reproducible:

• Store base=USD, unit=per troy ounce, original rates.XAG, the computed USD/oz and USD/g, and the set of source dates used.
• Record your aggregation rule (e.g., “EOM close,” “calendar mean”).
• Include the API response’s timestamp when available and a retrieval timestamp from your pipeline for audit trails.

Smart manufacturing and ERP integration

In ERP or MES, tie AHME-XAG to:

• BOM valuation: automatically recost silver-bearing SKUs monthly.
• Inventory accounting: apply end-of-month valuations to WIP and FG ledgers.
• Procurement thresholds: if monthly AHME-XAG rises by a predefined percent, trigger RFPs earlier or adjust safety stock.
• Predictive maintenance and throughput analysis: correlate cost trends with production constraints to schedule runs when margins are favorable.

Because AHME-XAG is per gram, it integrates naturally with quantity fields in grams across shop-floor data and digital twins.

Digital market analysis: signal engineering with XAG

Analysts can blend AHME-XAG with:

• Demand signals (POS, e-commerce sessions) to detect price elasticity.
• Logistics telemetry to anticipate input cost squeezes.
• Alternative data (search trends, social sentiment) for forward-looking indicators.

Monthly AHME-XAG acts as a regime feature in models, indicating inflationary vs. deflationary input cost contexts for silver-dependent products.

Timestamps, time zones, and consistency

• Use UTC when storing time-series keys and timestamps to avoid DST drift.
• When aligning with accounting calendars (e.g., 4-4-5), map daily dates to your fiscal weeks and months consistently.
• When consolidating multiple sources, reconcile any differences in timestamps vs. valuation dates; the “date” field in Metals-API is the valuation date you should key on.

Weekend and holiday considerations

Expect no new rates for closed days. Your Time-Series pulls may show sparse keys for such periods—this is normal. When you need a continuous series (e.g., for charting), forward-fill at the visualization layer, not during raw aggregation, unless a specific modeling need dictates otherwise.

Security and operational best practices

• Store the access_key securely (environment variables or secret manager). Never hardcode credentials in client-side apps.
• Use HTTPS only, and enforce TLS in your client configuration.
• Restrict distribution: centralize Metals-API calls in a backend service and expose only the derived AHME-XAG series to downstream clients.

Reliability, retries, and circuit breakers

• Implement exponential backoff with jitter for transient network errors.
• Cache stable historical responses so retries don’t always hit the API.
• Use a circuit breaker to prevent thundering herds during incident windows.

Error handling and validation patterns

• Check HTTP status and success === true before parsing rates.
• Validate the presence and sign of rates.XAG; skip or alert if unexpected (e.g., null, zero, or negative).
• Verify unit === "per troy ounce" so your conversions remain correct.
• Log the request URL without the access_key for debugging; log timestamps, date ranges, and counts of days returned.

Performance strategies and cost control

• Batch backfills: backfill one quarter at a time and persist results.
• Incremental updates: for the current month, pull only new days since the last fetch.
• Memoize unit conversions: 31.1034768 is constant—focus compute on inversion and aggregation.
• Consider monthly cron schedules for finalized months; daily cron for the open month.

Data quality: reconciliation checks

• Recompute monthly values periodically to ensure no pipeline regressions.
• Compare EOM close versus monthly average to catch unusual volatility spikes.
• Set alert thresholds when month-over-month changes exceed your expected range; publish to Slack or your alert bus.

Linking AHME-XAG to procurement and hedging

Your risk team can tie trigger points to AHME-XAG:

• Escalate hedging evaluations when rolling averages breach thresholds.
• Swap month-end closes into trade blotters for mark-to-market summaries.
• Track variance between budgeted silver cost and realized monthly AHME-XAG.

Practical JSON responses you will use most

Latest (contextual reference only)

While this guide centers on monthly history, some pipelines also capture latest values for status dashboards. Here’s a representative structure (focus on XAG):

{
"success": true,
"timestamp": 1789690444,
"base": "USD",
"date": "2026-09-18",
"rates": {
"XAG": 0.03815
},
"unit": "per troy ounce"
}

For historical series construction, prefer Time-Series and Historical as shown earlier.

Historical (single date) – recap

{
"success": true,
"timestamp": 1789604044,
"base": "USD",
"date": "2026-09-17",
"rates": {
"XAG": 0.03825
},
"unit": "per troy ounce"
}

Time-Series (multi-day) – recap

{
"success": true,
"timeseries": true,
"start_date": "2026-09-11",
"end_date": "2026-09-18",
"base": "USD",
"rates": {
"2026-09-11": { "XAG": 0.03825 },
"2026-09-13": { "XAG": 0.0382 },
"2026-09-18": { "XAG": 0.03815 }
},
"unit": "per troy ounce"
}

Data architecture patterns for enterprise rollouts

• Ingestion microservice:
  • Calls Metals-API endpoints (Time-Series for backfills, Historical for one-offs).
  • Normalizes units and computes USD_per_gram.
  • Publishes normalized events (symbol=AHME-XAG, unit=gram, currency=USD, period fields).
• Storage:
  • Raw lake: store full JSON responses for compliance.
  • Curated warehouse: monthly table with one row per period per symbol.
  • Index on (symbol, period_end) for fast lookups.
• Serving:
  • Internal REST/GraphQL endpoint returning AHME-XAG monthly values.
  • CDN caching for read-heavy clients that chart or quote frequently.
• Governance:
  • Data dictionary documenting base currency, unit assumptions, and monthly aggregation rule.
  • Automated tests verifying unit conversion and month-end day selection logic.

Testing: what a beginner might miss

• Unit tests for inversion edge cases (ensure division by zero is handled if no data for a day).
• Month boundary tests (February and leap years, months with holidays near EOM).
• Validation against a manually computed month from a small CSV of daily values.

Change management and versioning

• Version your aggregation logic: v1 (EOM close), v2 (business-day average), etc., so consumers know which series they use.
• If you switch to a different base currency or alter the computation, emit both versions for a deprecation window.

Sustainability and broader silver trends

Because silver’s industrial uses intersect with renewable tech, EVs, and high-density electronics, AHME-XAG can be a lead indicator for cost movements across clean energy and next-gen manufacturing. In supply chain technology, pairing this series with lead-time forecasts and capacity utilization offers smarter reorder policies.

Discover symbols and plan your roadmap

While we focused strictly on XAG here, you can explore every supported metal and currency on the Metals-API Supported Symbols page. This helps you plan future expansions (e.g., additional precious or industrial metals) without changing your architecture. When you’re ready to go deeper into endpoints and parameters, head to the Metals-API Documentation.

Compliance, audit, and reproducibility playbook

• Retain original JSON responses and your derived monthly computations.
• Embed the API’s date and timestamp fields alongside your processing timestamp.
• Document the fixed constant (31.1034768) and its source for unit conversion (troy ounces to grams).
• Capture code version SHA or container image tag used during computation.

Frequently used formulas for AHME-XAG

• Given rates.XAG = xagPerUsd:
  • usdPerOunce = 1 / xagPerUsd
  • usdPerGram = (1 / xagPerUsd) / 31.1034768
• Local currency per gram (if you have USD_per_local from your FX):
  • localPerGram = usdPerGram × localPerUsd

Troubleshooting: common pitfalls and how to fix them

• Problem: Missing dates near month-end.
  • Cause: Weekend/holiday closure.
  • Fix: Choose the last available business day; log the date used.
• Problem: Unexpected spike in monthly value.
  • Cause: Inversion error or mixed units.
  • Fix: Re-verify that you inverted XAG per USD and divided by 31.1034768 exactly once.
• Problem: Inconsistent monthly values across services.
  • Cause: Different aggregation rules (EOM vs. average) or currency conversion timing.
  • Fix: Centralize aggregation and FX application in one service; publish a single truth.
• Problem: Authentication failures.
  • Cause: Invalid or missing access_key.
  • Fix: Rotate and securely store keys; inject at runtime via environment variables.

Security specifics for API keys

• Use a secrets manager; do not commit keys.
• Scope access: only your ingestion service needs the Metals-API key.
• Rotate keys on a schedule and during incident response.

Deployment checklist

• Obtain and securely store your key from the Metals-API Website.
• Implement Time-Series pulls for the open month and monthly cron for EOM finalization.
• Unit conversion rigorously tested (including leap months and holiday EOMs).
• Data warehouse table for monthly AHME-XAG per gram, with indices and metadata columns.
• Alerting on pipeline errors and unusual month-over-month changes.

Where to go next

• Read the Metals-API Documentation for deeper endpoint usage, parameter options, and advanced features.
• Explore all available tickers and plan cross-metal dashboards from the Metals-API Supported Symbols.
• Get your free key today and start prototyping: Sign up on the Metals-API Website.

Conclusion

To build an “Ahmedabad Silver (AHME-XAG) – per gram – monthly historical price” series that’s accurate, auditable, and developer-friendly, anchor your pipeline on Metals-API’s Time-Series and Historical endpoints. Keep conversions explicit: invert XAG per USD to USD per troy ounce, divide by 31.1034768 to get USD per gram, and—if needed—apply your local currency conversion in your own logic. Cache finalized months, validate units on every response, and log your lineage so results are reproducible. This gives jewelers, manufacturers, and fintech analysts a solid foundation for pricing, procurement, and digital market analysis. To get started, obtain an API key from the Metals-API Website, explore parameters in the Metals-API Documentation, and reference tickers on the Metals-API Supported Symbols.

FAQ

Is “AHME-XAG” a native Metals-API symbol?

No. In this article, “AHME-XAG” is an internal label for your derived series: Silver (XAG) priced per gram and normalized for your Ahmedabad workflows. You’ll use Metals-API’s XAG rates and compute the per-gram monthly value.

How do I convert from “per troy ounce” to “per gram”?

Invert the XAG-per-USD rate to get USD-per-troy-ounce, then divide by 31.1034768 to get USD-per-gram.

What monthly convention should I choose?

Most pricing teams use last business day close; some procurement teams prefer monthly averages. Pick one and document it for consistent downstream use.

Can I show prices in INR for Ahmedabad?

Yes. Use your currency conversion workflow alongside XAG. Compute USD-per-gram from XAG, then apply your USD-to-INR conversion to produce INR-per-gram. Keep the FX and metals valuations aligned by date.

How far back does historical data go?

Historical rates are available dating back to 2019 for most symbols according to the API. For exact coverage, see the Metals-API Documentation.

How often are the latest rates updated?

Update frequency depends on your subscription plan. Refer to the documentation for plan-specific details.

What should I cache?

Cache finalized monthly points, the raw daily pulls used to compute them, and any currency conversions used to derive local prices. This ensures consistent values across services and reduces re-queries.

How do I handle missing days?

They are common due to weekends and holidays. For month-end, choose the latest available business day in the month. For averages, compute over the available business days only.

Where do I find all supported symbols?

Visit the Metals-API Supported Symbols page for the up-to-date list.

How do I start?

Get your API key at the Metals-API Website, review parameters in the Metals-API Documentation, and implement the Time-Series + Historical flow described here to produce your AHME-XAG per-gram monthly series.