Get Noida Silver (NOID-XAG) - Per Gram Historical Prices using this API for 2026

Building a pricing and analytics workflow for Noida Silver (NOID-XAG) per gram historical prices during 2026 is a practical need for jewelry manufacturers, industrial procurement teams, and fintech pricing engines that localize silver exposure to the Noida market. In this guide, you’ll use Metals-API to pull NOID-XAG daily historical prices, normalize from its default troy-ounce unit to per-gram values, and pipe the cleaned series into dashboards, risk models, or ERP pricing rules. We’ll focus on exactly what you need: the Historical and Time-series endpoints, precise unit conversion, timezone and caching nuances, and robust error handling for a production-grade integration.

What “NOID-XAG” means and how to use it for 2026 price history

Metals-API exposes metals via standardized symbols and, in some cases, regionalized variants. For this workflow, assume you target Noida Silver via the symbol NOID-XAG. The operational goal is to obtain a complete daily history of NOID-XAG throughout 2026, compute per-gram values, and store the series for analytics, procurement decision support, and product pricing automation. Before writing code, always confirm symbol availability and specification using the Metals-API Supported Symbols directory.

Silver’s role in electronics, photovoltaics, medical devices, and advanced manufacturing makes reliable historical data essential for forecasting and hedging. In smart manufacturing and supply chain technology, a clean per-gram series helps:

• Compute bill-of-materials cost changes and variance attribution.
• Adjust ERP pricing rules and e-commerce SKUs tied to NOID-XAG exposure.
• Backtest quant strategies that trade silver-linked exposures associated with Noida procurement channels.
• Automate alerts for significant weekly or monthly fluctuations to re-evaluate sourcing plans.

Ready to build? Get a free API key from the Metals-API Website and keep the key secure in your environment.

Key concepts before you query NOID-XAG

Units: per troy ounce vs. per gram

Metals-API returns metal prices with a default unit of “per troy ounce.” One troy ounce = 31.1034768 grams. If you require per-gram prices, you must convert:

• If API returns price_per_oz (USD per troy ounce), then USD per gram = price_per_oz / 31.1034768.
• If API returns rates as metal per USD (e.g., how many ounces per USD), invert and then convert to grams. Always inspect the base field in the response.

Base currency and interpretation

Responses include a base field (commonly USD). Rates reflect that base. For example, with base: "USD" and rates: {"NOID-XAG": v}, you should verify whether v represents ounces per USD or USD per ounce per the documentation style you adopt. Normalize your calculation pipeline accordingly and keep a single, consistent interpretation in your analytics repo.

Timestamps and timezone

Responses include a Unix timestamp and a date string. Use the timestamp for canonical ordering in your time-series database and document your timezone handling (e.g., store all records as UTC in your data lake). Market calendars may impact daily data presence; plan for weekends and public holidays.

Caching and request discipline

Historical values don’t change after finalization. Cache and persist historical responses to reduce API calls. For example, write-through caching to object storage or database ensures that your backfill cron job does not re-query dates you already have.

NOID-XAG endpoints you’ll use

We will use two endpoints that are most relevant to per-gram historical prices in 2026:

• Historical Rates Endpoint – single-day snapshots for exact dates across 2026.
• Time-series Endpoint – daily series across a date range for 2026.

For more capabilities such as other endpoints and advanced options, see the Metals-API Documentation.

Historical Rates endpoint for NOID-XAG (single day)

Use the Historical Rates endpoint to fetch NOID-XAG for a specific calendar date in 2026. This is helpful when you only need one day (e.g., month-end revaluation or a specific trade date).

Example curl: fetch NOID-XAG for 2026-03-15

curl -s "https://metals-api.com/api/2026-03-15?access_key=YOUR_API_KEY&base=USD&symbols=NOID-XAG"

Sample JSON response (structure)

{
"success": true,
"timestamp": 1789568273,
"base": "USD",
"date": "2026-03-15",
"rates": {
"NOID-XAG": 0.03825
},
"unit": "per troy ounce"
}

How to use the response

• success: Boolean indicating the call worked.
• timestamp: Unix epoch (UTC). Use it as your source of time-truth.
• base: Currency against which the metal rate is quoted (commonly USD).
• date: The ISO date for the historical snapshot.
• rates["NOID-XAG"]: The rate value, with interpretation guided by base and unit fields; combined, they indicate the unit context (e.g., per troy ounce).
• unit: "per troy ounce" clarifies that any value-per-weight conversion to grams remains your responsibility.

Convert troy ounce to gram for 2026-03-15

If rates["NOID-XAG"] expresses a per-troy-ounce price in USD terms, compute per-gram as:

• usd_per_gram = usd_per_oz / 31.1034768

Commit your calculation code alongside data ingestion so that any replay or backfill reproduces exact values.

Common pitfalls with single-day requests

• Missing dates (weekends/holidays): If a given date is unavailable, query the previous business day or let the Time-series endpoint fill in gaps and interpolate as needed in your analytics layer.
• Symbol verification: Always validate NOID-XAG is present in the Metals-API Supported Symbols to avoid 400-series errors.
• Unit drift: Do not mix per-oz and per-gram in the same storage column; standardize to per-gram at ingestion time or track both distinctly with strong metadata.

Time-series endpoint for NOID-XAG (full 2026 range)

Use the Time-series endpoint to retrieve daily NOID-XAG across a date range, ideal for backfilling the entire 2026 calendar into your warehouse.

Example curl: NOID-XAG from 2026-01-01 to 2026-12-31

curl -s "https://metals-api.com/api/timeseries?access_key=YOUR_API_KEY&base=USD&symbols=NOID-XAG&start_date=2026-01-01&end_date=2026-12-31"

Sample JSON response (structure)

{
"success": true,
"timeseries": true,
"start_date": "2026-01-01",
"end_date": "2026-12-31",
"base": "USD",
"rates": {
"2026-01-02": { "NOID-XAG": 0.03810 },
"2026-01-03": { "NOID-XAG": 0.03812 },
"2026-01-06": { "NOID-XAG": 0.03805 }
},
"unit": "per troy ounce"
}

Notes:

• Non-trading days may be absent; do not assume a record for every calendar day.
• Use start_date and end_date to bound the calendar year 2026. Confirm plan limits for available date ranges.

Using the time-series data effectively

• Transform: Convert each NOID-XAG per-oz rate to per-gram using 31.1034768 grams per troy ounce.
• Store: Write the per-gram series into a table keyed by date, symbol, and unit="gram".
• Validate: Check monotonic time index and no-duplicate dates; enforce primary keys (date, symbol) at the DB level.
• Gap handling: If a date is missing, choose a deterministic fill policy (previous business day forward-fill or leave null and handle in analytics).

JavaScript example: fetch and transform NOID-XAG to per gram for 2026

/**
* Example only; insert your own error handling, retries, and secrets management.
* Make sure to store YOUR_API_KEY in a secure environment variable.
*/
async function fetchNoidXag2026PerGram() {
const params = new URLSearchParams({
access_key: process.env.METALS_API_KEY,
base: "USD",
symbols: "NOID-XAG",
start_date: "2026-01-01",
end_date: "2026-12-31"
});

const res = await fetch(`https://metals-api.com/api/timeseries?${params.toString()}`);
if (!res.ok) {
throw new Error(`Metals-API HTTP ${res.status}`);
}
const json = await res.json();
if (!json.success) {
throw new Error(`Metals-API error: ${JSON.stringify(json)}`);
}

const OZ_TO_GRAM = 31.1034768;
const rows = [];

for (const [date, daily] of Object.entries(json.rates || {})) {
const perOz = daily["NOID-XAG"];
if (typeof perOz === "number") {
const perGram = perOz / OZ_TO_GRAM;
rows.push({
date,
symbol: "NOID-XAG",
unit: "per gram",
base: json.base,
value: perGram
});
}
}
return rows.sort((a, b) => a.date.localeCompare(b.date));
}

// Example invocation (Node.js):
// fetchNoidXag2026PerGram().then(console.log).catch(console.error);

Interpreting the fields you’ll actually use

• timeseries: Confirms multi-day payload; do not proceed if false.
• rates: Map of date to an object keyed by "NOID-XAG". Iterate deterministically by sorting keys.
• unit: Use to choose conversion factor; if unit is “per troy ounce,” convert to per gram.
• base: Carry this into storage to avoid confusion if you add multi-base support later.

Performance considerations

• Batch windowing: If your plan caps range size, split 2026 into monthly or quarterly windows and parallelize responsibly.
• Caching: Once fetched, store the raw JSON and your normalized per-gram tables to avoid re-fetching.
• Idempotency: Re-running the same backfill should not create duplicates; enforce unique constraints.

Security, auth, and operations for NOID-XAG ingestion

Authentication

• API Key: Pass via access_key parameter. Keep keys out of source control. Use environment variables or secret managers (e.g., AWS Secrets Manager, GCP Secret Manager).
• Transport security: Always use HTTPS.

Authorization and least privilege

• Separate keys by environment (dev, staging, prod). Rotate keys periodically.
• Integrate alerts for error spikes or unexpected response shapes.

Error handling and recovery

• Inspect success and HTTP status. If success=false, examine error fields and back off with exponential retries for transient errors.
• Partial failures: If a window returns some dates but not others, persist the good subset and log missing dates for retry.
• Schema drift protection: Validate expected fields (success, base, unit, rates) and fail fast if missing.

Data validation and sanitization

• Type checks: Ensure the rate for NOID-XAG is numeric.
• Range checks: If a per-gram result falls outside realistic bounds for silver, quarantine and alert.
• Normalization: Round to a sensible number of decimal places only at presentation time; keep full precision in storage.

Applying NOID-XAG per-gram prices in industry workflows

Smart manufacturing and ERP pricing

Create a per-gram cost curve for NOID-XAG and feed BOM pricing rules. When a product requires a specific gram-weight of silver solder or conductive paste, multiply per-gram price by the usage quantity and apply hedging or freight adders. Automation can run nightly or intraday based on the update frequency your plan supports.

Procurement and supply chain analytics

• Variance analysis: Compare actual purchase prices against the NOID-XAG per-gram benchmark to spot supplier deltas.
• Lead-time hedging: Use historical volatility to design reorder points and purchase timing aligned with costs in Noida-linked markets.

Digital market analysis and research

Use the 2026 series to examine seasonality, trend breaks, and correlation with local manufacturing indicators. Integrate into notebooks or BI tools and experiment with rolling z-scores, anomaly detection, or curve-fitting methods for procurement scenario planning.

Advanced considerations for a production deployment

Architecture

• Ingestion service: Stateless job or microservice that calls Metals-API, persists raw and normalized data, and emits metrics.
• Storage: Raw JSON in object storage for audit; normalized tables in a warehouse (e.g., PostgreSQL, BigQuery, Snowflake) with date, symbol, base, unit, and value.
• Curation: Materialized views that expose per-gram NOID-XAG to apps, dashboards, and pricing engines.
• Observability: Metrics on fetch latency, number of dates ingested per run, and error rates.

Scheduling patterns

• Backfill: Run once for 2026 with retries until complete.
• Daily maintenance: Fetch the previous business day’s NOID-XAG and fill the warehouse.
• Reconciliation: Nightly job re-validates last N days to catch late adjustments if applicable.

Weekend and market closures

• Expect gaps for weekends and holidays. Your time-series model should not assume full calendar coverage.
• Use a business calendar (stored in your DB) to align reporting and avoid false “missing data” alerts.

Troubleshooting NOID-XAG historical workflows

Common error shapes and mitigations

• Symbol not recognized: Confirm NOID-XAG on the Metals-API Supported Symbols list; if unavailable, contact support or adjust symbol selection based on published inventory.
• Empty rates map: Check date boundaries and ensure the date actually has data. Try nearest previous business day.
• Unit confusion: Always read unit in the response. Standardize conversions in one shared library function to prevent inconsistencies across services.
• HTTP 4xx/5xx: Implement backoff, circuit breakers, and dead-letter queues. Log request IDs and payloads for reproducibility.

Data quality checks

• Duplicate detection: Unique index on (date, symbol) with upsert logic.
• Continuity checks: Raise alerts if streaks of missing business days exceed threshold.
• Outlier screening: Statistical checks (median absolute deviation) before downstream consumers see the data.

Security best practices

• Key management: Store access_key in a secure secret manager; never in plain text or client-side code.
• Network egress: Restrict outbound access to Metals-API and monitoring endpoints only.
• PII-free: Metals price data is not PII, but logs may contain secrets. Redact query strings in logs.
• Compliance: Document your data lineage from Metals-API through internal systems for audits.

End-to-end example: daily sync of NOID-XAG per gram for 2026

1. Prerequisites: Obtain your API key from the Metals-API Website. Store it in METALS_API_KEY.
2. Discovery: Verify NOID-XAG on the Supported Symbols catalog.
3. Backfill: Call the Time-series endpoint for 2026. Persist raw JSON and normalized per-gram rows.
4. Validation: Run schema checks, continuity checks, and unit conversions tests.
5. Consumption: Expose a curated per-gram NOID-XAG table to your ERP or analytics tools.
6. Maintenance: Daily job adds the latest business day and reconciles the prior week.

OHLC and fluctuation (optional enhancements)

If your plan allows, you can complement daily closes with OHLC or fluctuation analytics to understand intraday ranges or longer-window changes for NOID-XAG. For endpoint specifics and availability, refer to the Metals-API Documentation.

Example OHLC structure for a given 2026 date

{
"success": true,
"timestamp": 1789654673,
"base": "USD",
"date": "2026-09-17",
"rates": {
"NOID-XAG": {
"open": 0.03825,
"high": 0.03830,
"low": 0.03810,
"close": 0.03815
}
},
"unit": "per troy ounce"
}

With OHLC, convert each field to per gram if you need intraday range statistics by weight unit, then compute volatility and drawdowns tailored to your procurement or trading horizon.

Practical notes developers usually ask about

• Precision: Store full-precision floats in your warehouse; round only at presentation time.
• Idempotent pipelines: Organize ingestion so re-running does not duplicate or drift values.
• Base stability: Keep base constant (e.g., USD) within a dataset unless there’s a strong reason otherwise. Label everything with base, unit, and symbol.
• Schema evolution: Wrap Metals-API responses with your typed DTOs; fail fast on unexpected fields and alert.

Related resources

• Metals-API Website – Get your free API key to start pulling NOID-XAG.
• Metals-API Documentation – Endpoint details, parameters, response formats, and usage notes.
• Metals-API Supported Symbols – Confirm NOID-XAG availability and attributes.
• CME Group Metals – Background on metals markets and derivatives.
• London Metal Exchange – Silver – Market context for silver benchmarks.

Call to action: get your key and ship

Start your 2026 NOID-XAG per-gram historical pipeline today. Visit the Metals-API Website, create a free account to obtain your API key, and follow this guide to backfill and serve reliable per-gram silver prices into your tools.

Example image

FAQ

• Does Metals-API return NOID-XAG directly?
  Check the Supported Symbols. If NOID-XAG is listed, you can query it as shown. If not, evaluate related symbols documented on that page.
• How do I convert per troy ounce to per gram reliably?
  Divide by 31.1034768. Keep this conversion centralized in your codebase for consistency.
• Can I request all of 2026 in one call?
  Use the Time-series endpoint with start_date=2026-01-01 and end_date=2026-12-31. If your plan restricts ranges, split by months or quarters.
• How do I handle missing business days?
  Do not assume full calendar coverage. Choose a policy (forward-fill, nearest prior day, or leave null) and document it for downstream consumers.
• How do I keep my key secure?
  Store the access_key in a secret manager or environment variable. Never hardcode it. Use HTTPS and redact sensitive query strings in logs.
• Where can I learn more about endpoints and parameters?
  See the Metals-API Documentation for the latest details, examples, and capabilities.