Get Visakhapatnam Silver (VISA-XAG) - Per Gram prices using this API — with real-time WebSocket example
Building a reliable “Visakhapatnam Silver (VISA-XAG) per gram” price feed is a common requirement for jewelry retailers, bullion dealers, and fintech apps serving coastal Andhra Pradesh. In this guide, we’ll show how to compute an accurate per-gram quote for Silver (XAG) from real-time reference data, then adapt it to a Visakhapatnam-local price model (including optional local premiums). We’ll use Metals-API as the data source for XAG and demonstrate three practical endpoints—Latest, Bid/Ask, and Time-series—plus a real-time WebSocket relay pattern you can drop into trading dashboards, POS, or manufacturing ERP systems. Along the way, we’ll cover unit conversions (troy ounce to grams), base currency handling, timestamps and time zones, caching, and weekend/holiday behavior—everything a developer needs for production-grade integration.
What “VISA-XAG” means in practice
There isn’t a distinct market symbol named “VISA-XAG” on the data feed. The practical interpretation is:
- Use globally-referenced Silver (XAG) prices from the API as your benchmark.
- Express the result per gram instead of per troy ounce.
- Optionally apply a Visakhapatnam-specific adjustment (local tax, logistics, or retail premium) on top of the benchmark to reflect your operating market.
Metals-API provides XAG quotes in a standardized unit (per troy ounce) with a base of USD by default. You convert this to per gram and, if needed, to the target currency used in your application. This approach is used widely to regionalize a common benchmark for city-specific price boards.
Metals-API overview (the API powering this workflow)
Metals-API delivers real-time and historical prices for precious and industrial metals—including Silver (XAG)—as well as currency rates. It exposes a simple JSON REST interface with endpoints for latest rates, bid/ask, time series, OHLC, and more. For this use case, we’ll focus on:
- Latest Rates Endpoint: to fetch up-to-date XAG price (per troy ounce, base USD by default).
- Bid/Ask Endpoint: to access spread-sensitive quotes if you need execution-aware pricing.
- Time-series Endpoint: to analyze historical daily XAG trend for charts, moving averages, or hedging logic.
Start here to get your free API key: Metals-API Website. Reference parameter details and additional endpoints at the Metals-API Documentation, and verify tradable symbols at Metals-API Supported Symbols.
Why per-gram Silver (XAG) matters for Visakhapatnam
Retail jewelry, bullion retail, and small-lot manufacturing in India increasingly quote silver per gram, not per ounce. Visakhapatnam’s market participants also benefit from a city-tuned price that aligns with regional taxation, logistics, and demand seasonality. By standardizing the input (XAG benchmark) and explicitly modeling the local adjustment, your app remains transparent, auditable, and easy to maintain.
Industrial and digital implications of accurate XAG data
- Industrial applications: Electronics, photovoltaic, and medical manufacturers depend on XAG input costs for BOMs and margin simulation.
- Smart manufacturing: ERP and MES systems can auto-reprice silver components for just-in-time procurement.
- Digital market analysis: Quant models and dashboards trend XAG movement against order flows and FX exposure.
- Supply chain technology: Vendor portals and RFQ tools use synchronized XAG benchmarks to remove disputes over price references.
Core math: from per troy ounce to per gram
Metals-API returns XAG as “per troy ounce” by default. You will frequently need per gram or per kilogram.
- 1 troy ounce = 31.1034768 grams (exact industry standard)
- Price per gram = price per troy ounce / 31.1034768
- Price per kilogram = price per troy ounce × (1000 / 31.1034768)
Because the base currency is USD by default, you can either display USD/gram or convert into your target currency using your own FX feed or Metals-API’s conversion capability described in the documentation.
Endpoint 1: Latest XAG rate (per troy ounce)
Use this for the current benchmark before applying per-gram conversion or your Visakhapatnam adjustment. The API returns standardized JSON including a timestamp (epoch seconds), ISO date, and unit.
Purpose and typical usage
- Fetch the most recent Silver (XAG) benchmark.
- Transform to per gram and optionally to your local currency.
- Use in dashboards, POS ticketing, or quote engines.
Key request parameters
- access_key: Your API key. Get one at the Metals-API Website.
- base: Optional. USD by default. If you change the base, ensure you understand how it impacts the rate semantics.
- symbols: Use XAG exclusively for this workflow.
Example curl request (Latest rates for XAG only)
curl -s "https://metals-api.com/api/latest?access_key=YOUR_API_KEY&symbols=XAG"
Example JSON response (trimmed to XAG)
{
"success": true,
"timestamp": 1790294983,
"base": "USD",
"date": "2026-09-25",
"rates": {
"XAG": 0.03815
},
"unit": "per troy ounce"
}
Response fields you’ll actually use
- success: Boolean; verify true before using the payload.
- timestamp: Epoch seconds; useful for cache control and UI staleness indicators.
- base: Currency the rates are relative to (USD by default).
- date: ISO date aligned with the timestamp; helpful for logging and compliance.
- rates.XAG: The quantity of XAG per 1 base currency unit. With base USD and unit per troy ounce, this value means “troy ounces of silver per USD.”
- unit: Pricing basis. For XAG, it’s “per troy ounce.”
Converting Latest to per gram and “VISA-XAG” (regionalized)
Interpretation when base = USD and unit = per troy ounce:
- rates.XAG = ounces of XAG you get for 1 USD.
- To compute USD per troy ounce, invert: USD_per_oz = 1 / rates.XAG.
- Then USD per gram = (1 / rates.XAG) / 31.1034768.
To model a Visakhapatnam-local price (VISA-XAG), apply a local factor (premiums, taxes, logistics) to the per-gram benchmark. Keep the factor in your app config so it’s auditable and versionable.
| Step | Formula | Notes |
|---|---|---|
| Benchmark USD/oz | USD_per_oz = 1 / rates.XAG | From Latest endpoint; base USD. |
| Benchmark USD/g | USD_per_g = USD_per_oz / 31.1034768 | Exact conversion from troy ounces to grams. |
| Optional FX | CCY_per_g = USD_per_g × USD_to_CCY | Use your FX feed or Metals-API conversion. |
| Visakhapatnam price | VISA_XAG_per_g = CCY_per_g × (1 + local_premium) | Premium can capture taxes, logistics, or retail margin. |
Common pitfalls and troubleshooting
- Direction of the rate: With base USD and unit per troy ounce, rates.XAG is “oz per USD,” not “USD per oz.” Always invert before applying per-gram conversion.
- Rounding: For retail quoting, use consistent rounding rules (e.g., 2–3 decimal places per gram) and document them.
- Cache control: Don’t hammer the Latest endpoint. Use timestamp-based freshness and UI countdowns. See Caching section below.
Endpoint 2: Bid/Ask for execution-aware XAG quotes
When you need to reflect trading conditions—e.g., for instant buy/sell in a consumer app—use bid/ask data. It exposes the current spread, allowing separate “We Buy” and “We Sell” prices after your per-gram and Visakhapatnam adjustments.
Example curl request (Bid/Ask for XAG)
curl -s "https://metals-api.com/api/bid-ask?access_key=YOUR_API_KEY&symbols=XAG"
Example JSON response (trimmed to XAG)
{
"success": true,
"timestamp": 1790294983,
"base": "USD",
"date": "2026-09-25",
"rates": {
"XAG": {
"bid": 0.0381,
"ask": 0.0382,
"spread": 0.0001
}
},
"unit": "per troy ounce"
}
How to use bid/ask for per gram
- Bid and ask are still “oz per USD.” Invert them separately:
- USD_per_oz_bid = 1 / bid
- USD_per_oz_ask = 1 / ask
- Convert each to per gram:
- USD_per_g_bid = USD_per_oz_bid / 31.1034768
- USD_per_g_ask = USD_per_oz_ask / 31.1034768
- Apply your Visakhapatnam adjustment. You can have asymmetric margins if desired (e.g., tighter on buy, wider on sell).
Use cases
- Retail storefronts: Show consumer-facing “Sell us silver at ₹X/g” and “Buy silver from us at ₹Y/g.”
- Algo quoting: Attach risk-based margin to the ask side in periods of high volatility.
- Smart contracts or escrow apps: Capture the exact bid at time of pledge and reconcile using timestamps in disputes.
Pitfalls and tips
- Always invert correctly. Mixing up buy/sell can lead to immediate P&L issues.
- Show the source time: Expose the timestamp from the payload near the quote to prevent confusion about staleness.
- Apply consistent rounding rules for both sides to avoid arbitrage on display-only rounding.
Endpoint 3: Time-series for XAG (daily history)
Use time-series data to backfill charts, compute moving averages, or run alerting on day-over-day changes. For Visakhapatnam price boards, historical lines help customers understand context for today’s quote.
Example curl request (Time-series for XAG)
curl -s "https://metals-api.com/api/timeseries?access_key=YOUR_API_KEY&symbols=XAG&start_date=2026-09-18&end_date=2026-09-25"
Example JSON response (trimmed to XAG)
{
"success": true,
"timeseries": true,
"start_date": "2026-09-18",
"end_date": "2026-09-25",
"base": "USD",
"rates": {
"2026-09-18": { "XAG": 0.03825 },
"2026-09-20": { "XAG": 0.0382 },
"2026-09-25": { "XAG": 0.03815 }
},
"unit": "per troy ounce"
}
Interpreting the series
- Each day’s XAG value is still “oz per USD.” Invert if you need USD per oz for chart values.
- Missing days (weekends/holidays) may appear as gaps or repeated values depending on exchange conditions. Always handle non-trading days elegantly in UI.
- Compute indicators (e.g., SMA, EMA) on a consistent basis—either in oz/USD or USD/oz, but don’t mix.
Practical example computations
- Daily USD/oz series: For each date d: USD_per_oz[d] = 1 / rates[d].XAG
- Daily USD/g series: USD_per_g[d] = USD_per_oz[d] / 31.1034768
- Visakhapatnam per-gram history: VISA_XAG[d] = USD_per_g[d] × USD_to_CCY[d] × (1 + local_premium[d])
Complete request/response walkthrough
Below is a single-flow example that gets you per-gram values you can adapt into “VISA-XAG” quotes in your app.
curl: fetch Latest XAG
curl -s "https://metals-api.com/api/latest?access_key=YOUR_API_KEY&symbols=XAG"
Realistic JSON response (XAG only)
{
"success": true,
"timestamp": 1790294983,
"base": "USD",
"date": "2026-09-25",
"rates": {
"XAG": 0.03815
},
"unit": "per troy ounce"
}
What to do next
- Check success = true.
- Read timestamp/date and propagate to the UI.
- Invert rates.XAG to get USD per troy ounce, then divide by 31.1034768 for USD per gram.
- Optionally multiply by your USD→target currency FX.
- Apply the city-specific adjustment to obtain your “VISA-XAG per gram.”
Real-time streaming via WebSocket (relay pattern)
Metals-API is a JSON REST API. If you need a push-style, low-latency stream into browsers or trading UIs, a common production strategy is to run a lightweight WebSocket relay service that polls Metals-API at your plan’s update frequency, caches the most recent XAG data, and broadcasts deltas to connected clients. This lets you:
- Minimize API calls while serving thousands of WebSocket clients.
- Set custom broadcast cadence (e.g., every 10 seconds) independent of upstream polling.
- Centralize logic for unit conversion, currency conversion, and Visakhapatnam adjustments.
Node.js WebSocket relay: server-side logic outline
The following example shows how to implement a simple WebSocket relay that emits per-gram XAG and optional “VISA-XAG” adjusted values. The server polls Metals-API’s Latest and pushes normalized data to clients. Replace YOUR_API_KEY and add your own FX logic if you want currency conversion beyond USD.
// Node.js outline for a WebSocket relay (server.js)
const http = require('http');
const WebSocket = require('ws');
const fetch = require('node-fetch');
const ACCESS_KEY = process.env.METALS_API_KEY || 'YOUR_API_KEY';
const POLL_MS = 60000; // align with your plan's update interval
const OZT_TO_G = 31.1034768;
let latestPayload = null;
async function fetchXAGLatest() {
const url = `https://metals-api.com/api/latest?access_key=${ACCESS_KEY}&symbols=XAG`;
const res = await fetch(url, { timeout: 10000 });
if (!res.ok) throw new Error(`Upstream HTTP ${res.status}`);
const json = await res.json();
if (!json.success || !json.rates || !json.rates.XAG) {
throw new Error('Invalid XAG response');
}
// rates.XAG is oz per USD -> invert for USD per oz
const usdPerOz = 1 / json.rates.XAG;
const usdPerG = usdPerOz / OZT_TO_G;
// Optional: apply your own FX and local premium
// const fxUSDToINR = await getFXRate(...);
// const localPremium = 0.0125; // 1.25% example
// const inrPerG = usdPerG * fxUSDToINR;
// const visaXagPerG = inrPerG * (1 + localPremium);
latestPayload = {
ts: json.timestamp,
date: json.date,
unit: 'per gram',
base: json.base, // 'USD' here
xag: {
usd_per_g: usdPerG
// inr_per_g,
// visa_xag_per_g: visaXagPerG
}
};
}
function startPolling() {
fetchXAGLatest().catch(console.error);
setInterval(() => {
fetchXAGLatest().catch(console.error);
}, POLL_MS);
}
function startWebSocketServer(port = 8080) {
const server = http.createServer();
const wss = new WebSocket.Server({ server });
wss.on('connection', (ws) => {
// Send the latest snapshot immediately on connect
if (latestPayload) {
ws.send(JSON.stringify({ type: 'snapshot', data: latestPayload }));
}
// Basic heartbeat
ws.isAlive = true;
ws.on('pong', () => (ws.isAlive = true));
});
// Broadcast every 10 seconds if we have a payload
setInterval(() => {
if (!latestPayload) return;
const message = JSON.stringify({ type: 'update', data: latestPayload });
wss.clients.forEach((client) => {
if (client.readyState === WebSocket.OPEN) {
client.send(message);
}
});
}, 10000);
// Keep connections healthy
setInterval(() => {
wss.clients.forEach((ws) => {
if (!ws.isAlive) return ws.terminate();
ws.isAlive = false;
ws.ping();
});
}, 30000);
server.listen(port, () => {
console.log(`WebSocket relay listening on :${port}`);
});
}
// Boot
startPolling();
startWebSocketServer(8080);
Clients connect to your ws://host:8080 endpoint to receive normalized per-gram silver updates suitable for “VISA-XAG” displays. This pattern keeps your Metals-API usage efficient and lets you version local adjustments in one place.
Data validation, timestamps, time zones
- Timestamps: Metals-API includes timestamp (epoch seconds) and date (ISO). Always surface them to clients. Consider labeling the UI “as of” to reinforce staleness awareness.
- Time zones: Keep server-side as UTC. Convert to user locale in the front end for display.
- Sanity checks: If the new rate deviates beyond a threshold from your rolling mean, hold the previous rate and alert ops. Prevents sudden UI shocks from transient network errors or stale caches.
Caching and performance strategies
- Polling interval: Align with your Metals-API plan’s update frequency (e.g., 60s or 10m). Polling more often will not improve freshness and only consumes quota.
- Shared cache: Cache the last good payload in Redis or in-memory; let all app nodes read from it to avoid duplicate upstream calls.
- Client throttling: If you run a WebSocket relay, broadcast at a stable cadence (e.g., 5–15 seconds). Invalidate/burst only when the upstream changes materially.
- Retry with backoff: On transient HTTP failures, back off exponentially before retrying. Don’t stampede the API.
- Immutable logs: Archive raw responses for audit; store inverted/converted values separately for analytics.
Handling weekends, holidays, and market closures
- Static or delayed updates: Many metal markets have reduced activity or closures on weekends/holidays. Expect timestamps to advance more slowly or remain static.
- UI communication: Display “Last updated” with a human-readable date/time and consider a subtle banner on non-trading days.
- Backfilling: When markets reopen, use the Time-series endpoint to fill gaps for charts and stats.
Security and reliability best practices
- API keys: Store in environment variables or secrets managers. Never hardcode in client code.
- Network hygiene: Use HTTPS only. Validate JSON (e.g., ensure rates.XAG exists and is numeric).
- Least privilege: If you proxy requests, restrict endpoints you expose to clients.
- DDoS protection: Throttle WebSocket connections per IP; implement authentication for premium dashboards.
- Observability: Instrument upstream latency, error rates, and cache hit ratios. Track divergence between bid and ask spreads for risk signals.
Mapping XAG to business logic for Visakhapatnam
To craft your “VISA-XAG” model, enumerate all local components explicitly. This makes your price auditable and adjustable without code releases.
| Component | Definition | Typical Source |
|---|---|---|
| XAG benchmark | USD per troy ounce (inverted from oz/USD) | Metals-API Latest or Bid/Ask |
| Unit conversion | USD per gram | Divide by 31.1034768 |
| FX conversion | Target currency per gram | FX provider or conversion logic |
| Local premium | Percent uplift for city factors | Config table (ops-managed) |
| Display rounding | Final per-gram quote precision | Product/finance policy |
Advanced analysis ideas for XAG in manufacturing and fintech
- Volatility-aware margins: Widen local premium dynamically when intraday volatility crosses a threshold (use bid/ask or intraday endpoints if available in your plan).
- Hedging overlays: Trigger hedges or supplier RFQs when XAG crosses SMA/EMA bands derived from Time-series.
- BOM recalculation: In ERP, recompute silver component costs nightly using the latest XAG per gram to stabilize P&L forecasts.
- Smart contracts: Parameterize settlement logic with timestamped XAG per gram to standardize escrow releases.
Error handling and recovery
- Graceful degradation: If Latest fails, fall back to the last known good with a warning banner.
- Staleness thresholds: If timestamp age exceeds a threshold (e.g., 2× expected update interval), freeze quotes or switch to conservative pricing.
- Alerting: Page ops if success=false for consecutive polls, or if rates.XAG is missing or non-numeric.
Endpoint specifics: parameters, fields, and scenarios
Latest Endpoint deep dive
Purpose: Retrieve the most recent reference rate for XAG. By default, base is USD and unit is per troy ounce. Use this to compute per-gram benchmarks and to seed WebSocket relays.
- Parameters:
- access_key (required)
- symbols=XAG (recommended to limit payload)
- base (optional; defaults to USD)
Success scenario:
{
"success": true,
"timestamp": 1790294983,
"base": "USD",
"date": "2026-09-25",
"rates": { "XAG": 0.03815 },
"unit": "per troy ounce"
}
Error scenarios to anticipate:
{
"success": false,
"error": {
"code": "invalid_access_key",
"message": "You have not supplied a valid API Access Key."
}
}
{
"success": false,
"error": {
"code": "rate_limit_reached",
"message": "You have reached your API request limit."
}
}
- Recovery: On invalid key, rotate secrets. On rate limits, back off and degrade UI to cached values with “stale” watermark.
Bid/Ask Endpoint deep dive
Purpose: Provide execution-aware bid/ask for XAG. Compute separate buy/sell per-gram quotes and reflect spread dynamics in your UX.
- Parameters:
- access_key (required)
- symbols=XAG (recommended)
Success scenario:
{
"success": true,
"timestamp": 1790294983,
"base": "USD",
"date": "2026-09-25",
"rates": {
"XAG": { "bid": 0.0381, "ask": 0.0382, "spread": 0.0001 }
},
"unit": "per troy ounce"
}
Empty or partial scenario:
{
"success": true,
"timestamp": 1790294983,
"base": "USD",
"date": "2026-09-25",
"rates": {},
"unit": "per troy ounce"
}
- Recovery: If rates.XAG is missing, continue serving last good bid/ask with a “stale” visual tag and reduce trading size limits until fresh data returns.
Time-series Endpoint deep dive
Purpose: Daily historical XAG for analytics, charting, and strategy. Ideal for computing historical per-gram lines and assessing the effect of Visakhapatnam premiums over time (for compliance and customer education).
- Parameters:
- access_key (required)
- symbols=XAG
- start_date, end_date (YYYY-MM-DD)
Success scenario:
{
"success": true,
"timeseries": true,
"start_date": "2026-09-18",
"end_date": "2026-09-25",
"base": "USD",
"rates": {
"2026-09-18": { "XAG": 0.03825 },
"2026-09-20": { "XAG": 0.0382 },
"2026-09-25": { "XAG": 0.03815 }
},
"unit": "per troy ounce"
}
Error scenario:
{
"success": false,
"error": {
"code": "invalid_date_range",
"message": "The specified date range is invalid or exceeds plan limits."
}
}
- Recovery: Clamp date ranges to plan constraints; if users scroll beyond, lazy-load with shorter windows and memoize results client-side.
Practical UI/UX guidance
- Display unit: Always clarify “per gram” and base currency. If you show “VISA-XAG,” add a tooltip explaining the premium and the benchmark origin.
- As-of labeling: Place “As of YYYY-MM-DD HH:mm UTC” near the quote.
- State transitions: Show loader during fetch, badge “stale” when timestamp ages, and show last valid quote on upstream issues.
Governance and auditability
- Record: Keep a daily snapshot of XAG benchmark, local premium, and FX used to derive each published price.
- Explain: Be ready to reproduce a past “VISA-XAG per gram” with exact inputs for regulatory or customer support purposes.
- Change management: Version your premium logic; require approvals for changes that affect displayed consumer prices.
Scaling architecture
- Edge caching: Terminate your WebSocket relay close to users, but centralize upstream polling to one region for coherence.
- Horizontal scale: Run multiple relay instances behind a load balancer; publish updates through Redis pub/sub or a message bus.
- Backpressure: If client count spikes, cap send frequency; send “heartbeat + last value” rather than recomputing every tick.
Reliability testing checklist
- Simulate upstream errors: 500s, slow responses, malformed JSON; assert your app degrades gracefully.
- Clock skew: Ensure UI doesn’t mislabel stale quotes as fresh if the local clock is off.
- High latency: Confirm WebSocket relay tolerates 2–5 second spikes without disconnect storms.
How to verify symbols and extend functionality
Confirm you’re using the correct symbol for Silver (XAG) and explore related capabilities (OHLC, conversion, intraday) in the official docs. Start with:
- Metals-API Supported Symbols
- Metals-API Documentation
- Get your free API key on the Metals-API Website
Additional references
- Official endpoint parameters and examples
- Sign up and manage your API keys
- Full list of supported metal and currency symbols
Conclusion
To deliver a high-integrity “Visakhapatnam Silver (VISA-XAG) per gram” feed, anchor on benchmark XAG data from Metals-API, convert precisely from troy ounces to grams, and explicitly apply regional adjustments. Use Latest for quick quotes, Bid/Ask for execution-aware spreads, and Time-series for historical analysis. For real-time dashboards, implement a WebSocket relay that polls Metals-API at sane intervals, broadcasts normalized per-gram values, and centralizes your Visakhapatnam pricing logic. The result is a scalable, auditable pricing stack that serves retail, trading, and manufacturing with the same authoritative source of truth. Get started with your API key at the Metals-API Website, and consult the documentation and symbols list to tailor the integration to your product.
FAQ
Is “VISA-XAG” a tradable symbol?
No. Treat it as a regionalized price derived from the benchmark Silver (XAG) rate. Use XAG from the API, convert to per gram, then apply your Visakhapatnam adjustment.
What unit does the API return for XAG?
By default, XAG is returned “per troy ounce” with base USD. Convert to per gram by dividing by 31.1034768 after inverting the quoted oz/USD to USD/oz.
How often does the Latest endpoint update?
Update frequency depends on your subscription plan. Poll at or below the documented cadence and cache results to conserve quota.
Can I stream real-time prices via WebSocket?
Metals-API is REST. Implement a WebSocket relay that polls the API and pushes normalized updates to clients. This pattern scales well for dashboards and trading tools.
How do I handle weekends and holidays?
Expect slower or static updates. Always display “As of” timestamps and consider a subtle non-trading-day banner. Backfill charts with the Time-series endpoint when markets resume.
Where do I find the correct symbol for Silver?
Consult the Metals-API Supported Symbols page. Use XAG for silver.
How do I get started?
Visit the Metals-API Website to create a free API key, then review the Metals-API Documentation for request parameters and limits.