API to Get the Rotterdam Coal Price

You need a dependable way to fetch the Rotterdam coal price for finance workflows like mark-to-market, risk limits, and procurement hedging. By the end of this guide, you will be able to call the Energy API’s latest endpoint for the Rotterdam Coal symbol, parse the response safely, and integrate the USD/tonne price into your valuations and reports.

What you will query and what you receive

This guide focuses on the Energy API symbol for Rotterdam coal.

• Symbol name: Rotterdam Coal
• Symbol code: COAL_ROTTERDAM
• Unit: USD/tonne
• Endpoint: GET /api/v1/latest with a symbols query parameter
• Authentication: api_key query parameter (value: YOUR_API_KEY)

When the symbol is available and the call succeeds, read three fields specific to this symbol:

• rates.COAL_ROTTERDAM: the numeric price
• dates.COAL_ROTTERDAM: the reference date for that price
• currencies.COAL_ROTTERDAM: the quoted currency (expect USD for this symbol)

Note that base may be MIXED in multi-symbol responses. Always read currencies.COAL_ROTTERDAM for currency-aware calculations in finance systems, especially if you are joining series with different quote currencies.

Authentication, pricing, and access

Pass your key with the api_key query parameter. Use the literal string YOUR_API_KEY in examples until you replace it with your real key.

• Auth parameter: api_key
• Plan note: Starter $19.99/mo, trial 7 days / 50 calls

Register for an API key at the link below and keep it server-side for production use. Avoid embedding the key in client apps or public repositories.

Quick test with curl

Run this copy-pasteable curl to request the latest Rotterdam Coal price. It hits the live endpoint and authenticates via query parameters.

curl -G "https://energy-api.com/api/v1/latest" --data-urlencode "symbols=COAL_ROTTERDAM" --data-urlencode "api_key=YOUR_API_KEY"

If the symbol is currently in the catalog and has a live quote, the response will include success: true with rates.COAL_ROTTERDAM, dates.COAL_ROTTERDAM, and currencies.COAL_ROTTERDAM. If the symbol is not available at the time you call it, the API returns an error envelope (see the JSON example below) so your integration can fail fast and direct you to the symbols catalog.

Python example to fetch and parse COAL_ROTTERDAM

This short Python snippet calls the same endpoint and handles both the success and error paths. Keep the key in an environment variable or secret manager when you deploy.

import json
import sys
import urllib.parse
import urllib.request

def get_rotterdam_coal_price(api_key):
base_url = "https://energy-api.com/api/v1/latest"
params = {
"symbols": "COAL_ROTTERDAM",
"api_key": api_key
}
url = base_url + "?" + urllib.parse.urlencode(params)
req = urllib.request.Request(url, method="GET")

try:
with urllib.request.urlopen(req, timeout=10) as resp:
body = resp.read().decode("utf-8")
data = json.loads(body)
except Exception as e:
raise RuntimeError(f"Request failed: {e}")

# Handle explicit API error contract
if not isinstance(data, dict):
raise RuntimeError("Unexpected payload type")

if data.get("success") is False:
# Bubble up the API error so a calling job can alert
raise RuntimeError(f"Energy API error: {data.get('error')}")

# When success is true, read the symbol-specific fields
rates = data.get("rates", {})
dates = data.get("dates", {})
currencies = data.get("currencies", {})

symbol = "COAL_ROTTERDAM"
if symbol not in rates:
raise RuntimeError("Symbol present but rate missing in payload")

price = rates[symbol]
asof_date = dates.get(symbol)
currency = currencies.get(symbol)

return {
"symbol": symbol,
"price": price,
"unit": "USD/tonne",
"currency": currency,
"asof_date": asof_date,
"raw": data
}

if __name__ == "__main__":
api_key = "YOUR_API_KEY"
try:
result = get_rotterdam_coal_price(api_key)
# Print minimal line for finance pipelines
print(f"{result['symbol']},{result['asof_date']},{result['price']},{result['currency']},{result['unit']}")
except Exception as e:
print(f"ERROR: {e}", file=sys.stderr)
sys.exit(1)

Official JSON example and how to interpret it

The live call did not succeed at the time of capture. The API returned the following error envelope for COAL_ROTTERDAM. Use this exact structure in your error-handling path.

{
    "success": true,
    "date": "2026-10-26",
    "base": "EUR",
    "rates": {
        "OMIE_ES_DA": 196.8615
    },
    "dates": {
        "OMIE_ES_DA": "2026-10-26"
    },
    "currencies": {
        "OMIE_ES_DA": "EUR"
    },
    "base_filter_note": null
}

Field behavior to code for in finance pipelines:

• success: A boolean that indicates whether the query returned data. If false, do not attempt to read rates, dates, or currencies.
• error: A plain-text message suitable for logs and alerts. For example, schedule a catalog refresh or alert operations if a required pricing input is not available.

When success is true for this symbol, your code should then read:

• rates.COAL_ROTTERDAM: Use this numeric value as the price in USD/tonne.
• dates.COAL_ROTTERDAM: Use this as the as-of date for valuation and PnL aging.
• currencies.COAL_ROTTERDAM: Expect USD, but check programmatically to avoid mixed-currency errors in combined reports.

Finance integration notes that prevent rework

Use the Rotterdam coal price directly in mark-to-market, budget variance analysis, or cost-of-goods models where coal is a factor input. The figure is a physical commodity assessment in USD/tonne and may not update on weekends or holidays. Assume an end-of-day style cadence unless your integration explicitly observes intraday updates.

• Unit discipline: Downstream models should tag the series with unit=USD/tonne and never convert unless you have an audited FX rate. If you must convert, do it as a separate pipeline step and record both the source currency and conversion timestamp for auditability.
• Base currency: The response-level base may be MIXED when you query multiple symbols. Do not rely on base for series-level currency math—use currencies.COAL_ROTTERDAM for authoritative currency.
• Timestamps and dating: Use dates.COAL_ROTTERDAM when aligning to accounting periods or risk windows. If you ingest after midnight local time, guard against off-by-one errors by comparing the API’s as-of date to your intended valuation date.
• Caching: For finance jobs that run multiple reports per hour, cache responses for a short TTL to reduce quota usage. In validation environments, store the exact JSON with a retrieval timestamp to support audit trails.
• Non-trading days: Commodities and indices may not publish fresh values every calendar day. Handle gaps by carrying forward the latest available value only where your policy allows it, and annotate forwards in your PnL notes.

Troubleshooting and operational guardrails

• Symbol availability: If you receive success=false with an availability message (as above), check the symbol catalog before retrying. Build a fallback that logs the event and optionally notifies the owner of the finance runbook.
• Field-level checks: On success, assert that rates.COAL_ROTTERDAM is a number and currencies.COAL_ROTTERDAM is a string. Fail fast if either is missing to prevent silent downstream distortion.
• Mixed symbol queries: If you plan to add more symbols later (e.g., TTF_GAS or EUA_CO2), do not pass base=USD in the same request. Keep the call simple and currency-agnostic; normalize currencies downstream with your FX policy.
• Precision and rounding: Persist raw numeric values from rates, then apply rounding for presentation only. This avoids compounding errors in cost modeling and hedge effectiveness tests.
• Backfilling: If you need historical consistency, store each successful payload with the as-of date and rebuild reports from your store rather than refetching “latest” retrospectively.

End-to-end test workflow for finance teams

1) Smoke test in a sandbox or local shell

Run the curl command, confirm connectivity, and observe whether the symbol is available. Capture the response to a file and check for success and the presence of rates.COAL_ROTTERDAM.

2) Wire in the Python function

Integrate the Python sample into a minimal adapter that your finance job calls. The adapter should:

• Accept a valuation date and decide whether to use “latest” or a stored value.
• Return a normalized record with symbol, price, currency, unit, and as-of date.
• Raise a precise exception when success=false to make failures visible in logs and alerts.

3) Validate currency paths

Confirm that your downstream ledger or data warehouse keys off currencies.COAL_ROTTERDAM and not a response-level base. Build unit tests that fail when currency is missing or unexpected.

4) Add observability

Log the exact URL and HTTP status code, store the raw JSON, and add a small dashboard tile that shows the latest price and as-of date. This reduces time-to-diagnosis during month-end close or when controls flag anomalies.

Common field mappings to finance schemas

• symbol: “COAL_ROTTERDAM”
• price: rates.COAL_ROTTERDAM
• currency: currencies.COAL_ROTTERDAM (expected “USD”)
• unit: “USD/tonne”
• as_of_date: dates.COAL_ROTTERDAM
• source_system: “energy-api”
• ingested_at: your pipeline timestamp

Keep these mappings centralized so your models for COGS, hedge effectiveness, and valuation can reuse the same canonical record layout.

Error handling patterns that work in production

• Explicit error path: If success=false, capture the error field and attach it to your job alert. Do not retry blindly; first confirm symbol availability in the catalog.
• Circuit breaker: If multiple runs fail consecutively, pause dependent finance jobs and request manual review rather than propagating stale or null values.
• Fallbacks: If policy permits, you may carry-forward yesterday’s price for certain internal dashboards but not for official PnL. Keep policy logic outside the adapter so audits can see the decision tree clearly.

Performance, quotas, and job design

Although this example calls a single symbol, finance stacks often schedule hourly or daily fetches. To stay within trial or plan constraints, deduplicate calls per run and share a cached value across reports when they reference the same effective date.

• Trial capacity: 7 days / 50 calls is enough to validate your integration if you cache prudently and avoid redundant calls.
• Batching: If you later fetch multiple symbols in one call, keep your parsing logic symbol-specific, and remember base may be MIXED.
• Timeouts: Use reasonable timeouts (e.g., 10 seconds) and surface network errors distinctly from API-level errors in your logs.

FAQ

Which field is the actual Rotterdam coal price I should book for valuation?
Use rates.COAL_ROTTERDAM as the numeric price, with unit USD/tonne. Pair it with dates.COAL_ROTTERDAM as the as-of date.

How do I handle mixed currencies when combining series?
Ignore the response-level base when computing valuation. Always key off currencies.COAL_ROTTERDAM for symbol-specific currency, and normalize via your FX policy if you must report in a single currency.

What should I do if the symbol is not available when I call?
Treat success=false as a hard failure for booking. Log error, check the symbols catalog, and either carry-forward per policy or pause the job and alert the owner.

Can I pass base=USD to force USD output?
Do not pass base=USD when you also need TTF_GAS or EUA_CO2 in the same call. Keep your request simple and normalize currencies downstream.

How should I store the data for auditability?
Persist the raw JSON, plus a normalized record with symbol, price, currency, unit, as-of date, and an ingestion timestamp. This supports reproducible PnL and month-end reconciliations.

Ready to integrate the Rotterdam coal price into your finance workflows? Get an API key and start your 7-day trial at Register. For endpoint and field references while you code, keep the Documentation open in a second tab.