How to Use a Commodity Sentiment API

A commodity sentiment API makes conversation about gold, oil, natural gas, copper, and agricultural markets queryable by software. The critical design choice is identity: resolve the native commodity or benchmark first, and keep ETFs, trusts, producers, and other linked equities as separate comparison instruments.

1. Resolve the commodity

“Oil” can mean WTI, Brent, a futures contract, an energy equity, or a broad theme. Resolve the exact commodity identity required by the research question. Once the native commodity class is present in the live generated contract, the request follows the same asset-resolution pattern as equities.

curl --get \
  --url 'https://nebula-api.hiddensystems.ai/api/v1/public/assets' \
  --data-urlencode 'query=gold' \
  --data-urlencode 'asset_class=commodity' \
  --header 'X-API-Key: YOUR_API_KEY'

Store the returned asset_id, asset_class, display name, and benchmark detail. Confirm that the deployed OpenAPI contract exposes commodity before releasing a client that sends it.

2. Request commodity sentiment

Use an explicit window that matches the decision. Intraday conversation can be useful around an inventory release or geopolitical event; weekly windows are better for a developing supply-and-demand narrative.

curl --get \
  --url 'https://nebula-api.hiddensystems.ai/api/v1/public/sentiment' \
  --data-urlencode 'asset_id=RETURNED_ASSET_ID' \
  --data-urlencode 'asset_class=commodity' \
  --data-urlencode 'hours=168' \
  --header 'X-API-Key: YOUR_API_KEY'

The result measures conversation about the selected commodity. It is not a spot price, futures curve, inventory series, or Commitments of Traders report. Preserve that distinction in field names, chart labels, and user-facing explanations.

3. Add mindshare

Mindshare reveals whether the commodity is taking a larger share of market attention. A positive tone with falling attention can mean something different from the same tone during a fast-growing narrative.

curl --get \
  --url 'https://nebula-api.hiddensystems.ai/api/v1/public/mindshare' \
  --data-urlencode 'asset_id=RETURNED_ASSET_ID' \
  --data-urlencode 'asset_class=commodity' \
  --data-urlencode 'hours=168' \
  --header 'X-API-Key: YOUR_API_KEY'

4. Compare linked instruments separately

Resolve each linked security through asset_class=equity and keep the two series labelled. This makes divergence useful rather than allowing it to become an identity bug.

5. Make the workflow production-safe

• Validate that the live OpenAPI contract exposes the commodity class before deployment.
• Resolve every commodity and regional benchmark rather than constructing identifiers.
• Align timestamps, windows, granularity, benchmarks, and units across data sources.
• Keep API keys server-side and handle authentication, entitlements, and rate limits.
• Record conversation volume and avoid over-interpreting thin subjects.
• Store native commodities and linked equities as distinct entities throughout the stack.

Combine social and market evidence

Pair the API output with independent spot and futures prices, curve structure, inventories, official supply-and-demand data, options-implied volatility, and positioning where relevant. The commodity market sentiment guideexplains how to interpret those layers together. Social sentiment is a research input, not investment advice or a standalone trading signal.